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• Glomerulonephritis in Takayasu arteritis is dominated by mesangial and AA amyloid lesions and often arises during remission: a case-based review.
  Takayasu arteritis (TAK) is a large-vessel vasculitis in which glomerulonephritis is a rare complication with a poorly characterized clinical and histopathological profile. Patients with biopsy-proven glomerulonephritis were retrospectively identified from a s…
  pubmed Kardaş RC, Yıldırım D, Kaya B, Vasi İ 等 2026 Jun 12 置信度 0.82
• Analytic Misjudgment of Drug Safety Evidence and Causality: From the Prosecutor's Fallacy and Simpson's Paradox to Artificial Intelligence.
  Drug safety assessment, particularly in the post-marketing setting, is especially vulnerable to analytic misjudgment because it relies on heterogeneous evidence streams, incomplete data, infrequent events, and decisions made under substantial uncertainty. Recu…
  pubmed Hammad TA, Rochon J 2026 Jun 12 置信度 0.82
• Artificial Intelligence in Self-Management of Gestational Diabetes Mellitus: A Systematic Review.
  The prevalence of gestational diabetes mellitus (GDM) continues to rise, necessitating reliable and effective self-management strategies to improve maternal and neonatal outcomes. However, current self-management models face challenges, including insufficient …
  pubmed Guo X, Sun K, Zhang R, Yang X 等 2026 Jun 12 置信度 0.82
• Recent developments in intein-mediated protein splicing and their applications in bioengineering.
  Inteins are self-excising protein elements that catalyze their own removal from host polypeptides and mediate the ligation of the surrounding exteins, generating mature and functional proteins without the requirement for external cofactors or energy sources. S…
  pubmed Rashidi Ghalamkhan Z, Farajnia S, Seirafi A, Toraby S 等 2026 Jun 9 置信度 0.82
• Medical imaging-derived artificial intelligence for prognostic stratification and treatment response prediction in interventional therapy of hepatocellular carcinoma.
  Hepatocellular carcinoma (HCC) is a malignant tumor that is common worldwide. It is characterized by high incidence and mortality rates. Interventional therapy is a minimally invasive treatment for HCC that offers diverse methods that cover different stages. B…
  pubmed Lei Y, Xia T, Wang Y, Zhou X 等 2026 Jun 置信度 0.82
• Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies.
  Artificial intelligence is a disruptive area which transforms cutting-edge healthcare technology to analyze clinical workflows, sharpen diagnostics, and improve precision medicine. The goal of this review is to identify approaches involving a collaborative exa…
  pubmed Kim S, Kim D, Ko J, Zan X 等 2026 Jan-Dec 置信度 0.82
• Medication-Wide Association Study of Alzheimer's Disease and Related Dementias: Identifying Drug Candidates from Electronic Health Records through Explainable AI.
  Alzheimer's disease (AD) is a leading cause of death and disability, and treatment options for Alzheimer's disease and related dementias (ADRD) remain limited. We applied a data-driven, mechanism-agnostic Medication-Wide Association Study Plus (MWAS+) framewor…
  pubmed Shao Y, Yin Y, Cheng Y, McGeary JE 等 2026 Jun 3 置信度 0.82
• Extracellular vesicles in prostate cancer: current understanding and future perspectives.
  Exosomes are nanoscale, lipid bilayer extracellular vesicles (EVs) actively secreted by cells under both physiological and pathological conditions. As key mediators of intercellular communication, exosomes carry a diverse array of molecular cargo, including nu…
  pubmed Perumalsamy B, Seshacharyulu P, Vengoji R, Shonka N 等 2026 Jun 置信度 0.82
• Emerging advancements and expanding technological scope of education and practices in pharmacy and pharmaceutical sciences.
  The pharmacy profession stands at a pivotal moment, as emerging scientific advancements and evolving healthcare demands require adept pharmacy practitioners and scientists. The integration of precision medicine, cellular and acellular regeneration, nano and bi…
  pubmed Barar J, Fiano K, Seamon M, Albensi B 等 2026 置信度 0.82
• Protocol: Effectiveness of Artificial Intelligence-Based Psychotherapy in Treating Mental Disorders.
  This is the protocol for a Campbell systematic review. The objective is as follows: to assess the effectiveness of artificial intelligence-based psychotherapeutic interventions for individuals formally diagnosed with mental disorders. In addition to evaluating…
  pubmed Soni AK, Singh VK, Kumar M 2026 Jun 置信度 0.82
• Baseline characteristics of patients enrolled in the AZIMUTH trial: an e-health-integrated, smartphone app-based model of care for heart failure patients.
  The 'FondAZione A. Gemelli IRCCS Artificial Intelligence Empowered Digital PlatforM to sUpport paTients with Heart Failure' (AZIMUTH) study is a multicentre prospective outpatient trial assessing an app-based, e-health-integrated model of care for heart failur…
  pubmed D'Amario D, Paglianiti DA, Laborante R, Elia S 等 2026 May 置信度 0.82
• The cumulative incidence of atrial fibrillation in the hospitalized medical patient: a systematic review and meta-analysis.
  New-onset atrial fibrillation (NOAF) is the most common cardiac arrhythmia occurring in hospitalized patients. NOAF confers a significant risk of cardiovascular morbidity and mortality in the form of symptomatic tachyarrhythmia, heart failure, stroke and sudde…
  pubmed Essa H, Balu A, Lip GYH, Welters I 2026 May 置信度 0.82
• Beyond COSS: The Evolution of Hemodynamic Imaging and Revascularization Strategies in Chronic Cerebrovascular Occlusion.
  Chronic carotid occlusion (CCO) carries a significant risk of ischemic stroke, particularly in patients with impaired cerebrovascular reserve. Extracranial-intracranial (EC-IC) bypass emerged as a popular treatment strategy with high technical success rates. H…
  pubmed Jumah F, Brooks H, Siddiq F, Otvos B 2026 May-Jun 置信度 0.82
• Application of Artificial Intelligence in the Diagnosis, Prediction, and Management of Metabolic Syndrome: A Systematic Review.
  Metabolic syndrome (MetS) is associated with increased risks of cardiovascular disease and type 2 diabetes, with recent global prevalence estimates of approximately 28%-31% in adults. Artificial intelligence (AI) and machine learning offer potential to improve…
  pubmed Esmailzadeh A, Norouzkhani N, Sezavar Dokhtfaroughi S, Rasoulian A 等 2026 置信度 0.82
• Evaluation of DeepSeek-Generated Biochemistry Clinical Cases for Teaching Purpose.
  To overcome limitations in traditional case-based teaching, this study developed an AI-driven workflow using DeepSeek to generate contemporary, interdisciplinary clinical biochemistry cases. Through human-AI collaboration, eight structured cases covering key t…
  pubmed Tan S, Ni S, Zhang K, Yang Y 等 2026 Jul-Aug 置信度 0.82
• Multimodal Magnetic Resonance Imaging in Diabetic Kidney Disease: From Pathophysiological Insights to Clinical Applications.
  Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Conventional clinical markers of renal function lack sufficient sensitivity for early diagnosis, whereas renal biopsy is unsuitable for routine monitoring because of its invasivenes…
  pubmed Ni M, Huang B 2026 May 29 置信度 0.82
• Artificial Intelligence in Heart Failure with Preserved Ejection Fraction.
  Background: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome characterized by frequent underdiagnosis, diverse etiologies, and limited therapeutic options. Given its complexity, artificial intelligence (AI) and machine learnin…
  pubmed Li X, Xu C, Deng W, Zhang Y 等 2026 May 23 置信度 0.82
• AI-Driven Design of High Affinity Biomolecule-Drug Conjugates for Gynecological Cancer Therapy: An Up-to-Date Narrative Review.
  Background: Gynecological cancers include collections of cancers with diverse cellular and molecular characteristics that often develop drug resistance, making them treatment-resistant. Biomolecule-drug conjugates (BDCs), especially antibody-drug conjugates (A…
  pubmed Garg P, Horne D, Salgia R, Singhal SS 2026 Jun 5 置信度 0.82
• Advances in Brain Tumor Biomarkers: From Molecular Profiling to Liquid Biopsy and AI-Driven Detection.
  Brain tumors in older adults are difficult to diagnose and manage due to nonspecific symptoms, overlapping with neurodegenerative diseases such as dementia, and significant tumor heterogeneity. Although molecular markers such as IDH1/2 mutations, MGMT promoter…
  pubmed Nguyen TTT, Ðoàn LN, Boriushkin E, Badr CE 2026 May 29 置信度 0.82
• Artificial Intelligence in Image Assisted Radiation Oncology.
  Advanced imaging is the cornerstone of modern radiation oncology, contributing to each phase of patient care, from diagnosis and treatment planning to delivery and follow-up. It has evolved from providing purely geometric guidance to enabling biological and dy…
  pubmed Wang H, Zhao Y, Chen X, McDonald B 等 2026 May 25 置信度 0.82
• Advanced Drug Delivery Strategies in Geriatric Patients with Polypharmacy: Integrating Pharmacokinetics, Personalized Medicine, and Emerging Technologies.
  Background/Objectives : The rapid growth of the global aging population, projected to reach 2.1 billion older adults by 2050, presents major challenges for pharmacotherapy and drug delivery. Age-related physiological changes affecting pharmacokinetics and phar…
  pubmed Bartusik-Aebisher D, Bania K, George BP, Dynarowicz K 等 2026 Jun 4 置信度 0.82
• Sedation in Gastrointestinal Endoscopy: From Drug-Centered Protocols to Personalized, Technology-Supported Pathways: A Narrative Review.
  Background/Objectives : Sedation is a fundamental component of gastrointestinal endoscopy, improving patient comfort, procedural quality, and overall satisfaction. However, traditional drug-centered sedation models are increasingly challenged by rising procedu…
  pubmed Bonura GF, Soriani P, Gualandi N, Cortegoso Valdivia P 等 2026 Jun 1 置信度 0.82
• The Role of Virtual and Augmented Reality in Transsphenoidal Surgical Approaches to the Sellar and Parasellar Area-A Systematic Review.
  Background/Objectives : Transsphenoidal surgery has become the gold standard for the treatment of sellar and parasellar lesions, but it remains associated with significant anatomical challenges and the risk of intraoperative complications. The limitations of c…
  pubmed Bechev K, Markov D, Aleksiev V, Markov G 等 2026 May 27 置信度 0.82
• Perioperative Anxiety in Adults: A Narrative Review of Pathophysiology, Assessment, and Multimodal Management Strategies.
  Perioperative anxiety is a common psychophysiological stress response experienced by patients before and after surgery, with a global prevalence of approximately 48%. Its occurrence is influenced by multiple factors including age, sex, type of surgery, and psy…
  pubmed Chen J, Zhuang Y, Mao M, Chu Q 等 2026 Jun 3 置信度 0.82
• Machine Learning-Based Frailty Prediction and Classification in Community-Dwelling Older Adults: A Systematic Review of Validation, Explainability, and Implementation Readiness.
  Background and Objectives: Frailty is a multidimensional vulnerability in older adults; the Fried phenotype and Frailty Index are clinically informative but labor-intensive, limiting scalability for community screening. Machine learning (ML) can model heteroge…
  pubmed Kim S, Shin MJ, Choi BK, Obradovic Z 等 2026 Jun 1 置信度 0.82
• Artificial Intelligence in Healthcare Administration and Clinical Informatics: A Critical Review and Governance Roadmap.
  Artificial intelligence (AI) is increasingly influencing healthcare administration and clinical informatics by supporting disease diagnosis, clinical decision-making, treatment personalization, drug discovery, remote monitoring, public health surveillance, and…
  pubmed Aldosari H 2026 May 28 置信度 0.82
• Beyond Model Development in Healthcare AI: Post-Development Robustness, Post-Deployment Monitoring, and Lifecycle Governance-A Scoping Review of Reviews.
  Background: Clinical artificial intelligence (AI) is rapidly moving from retrospective model development into prospective evaluation, implementation, and routine care. Existing reviews have addressed specific aspects of this transition, including monitoring, d…
  pubmed El Arab RA, Mustafa MH, Almagharbeh WT, Saleem NH 等 2026 May 25 置信度 0.82
• DeepSnap: From Three-Dimensional Molecular Images to Quantitative Structure-Activity Predictions.
  Quantitative structure-activity relationship (QSAR) modeling has conventionally relied on expert-designed molecular descriptors to encode chemical structures. DeepSnap is a descriptor-free QSAR approach that converts prepared three-dimensional molecular confor…
  pubmed Uesawa Y 2026 May 30 置信度 0.82
• Brain Cancer: Molecular Alterations and Emerging Trends in Neuropharmacology.
  Central nervous system (CNS) tumors represent a heterogeneous group of neoplasms associated with significant morbidity and mortality despite their relatively low incidence. Advances in the fifth edition of the World Health Organization (WHO) classification hav…
  pubmed Leskova B, D'Agostino I, Mattova S, Urbanska N 等 2026 May 28 置信度 0.82
• Molecular Mechanisms and Multi-Omics Integration in Heart Failure: From Pathophysiology to Precision Medicine.
  Heart failure (HF) is a complex and heterogeneous clinical syndrome defined by progressive structural, functional, and molecular alterations in the myocardium, representing a significant global health challenge. Beyond haemodynamic compromise, HF arises from i…
  pubmed Maida CD, Pacinella G, Daidone M, Bona MM 等 2026 May 27 置信度 0.82
• Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction.
  Protein interactions form large-scale networks known as protein-protein interaction networks (PPINs) or protein complex networks (PCNs). Extracting meaningful structural frameworks from these molecular relationships through mathematical modeling enables a deep…
  pubmed Chan KY, Yamaguchi T, Izumiya Y, Chu YW 等 2026 May 25 置信度 0.82
• Expanding the ethics horizon: integrating African canons for inclusive research ethics in Africa.
  Society 5.0 envisions a future where technology and humanity integrate to address societal concerns. In an era marked by significant technological advancements, particularly in artificial intelligence, it is vital to uphold the core values of compassionate car…
  pubmed Nel C, Wolvaardt JE, du Toit P 2026 Jun 12 置信度 0.82
• AI-assisted diagnosis of cardiac amyloidosis using electrocardiograms and echocardiography: a multicenter retrospective study in China.
  Cardiac amyloidosis (CA) is an under-recognized cause of left-ventricular hypertrophy (LVH) that is often misclassified as hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD). We aimed to develop and externally validate an AI model using elec…
  pubmed Zhang S, Wan Z, Hu Y, Wu M 等 2026 Jun 11 置信度 0.82
• Exploring the use of AI-generated counterfactual chest X-rays to enhance diagnostic learning in medical education.
  Accurate interpretation of chest X-rays is a critical clinical skill, yet radiology training in medical education remains limited and often fails to provide broad exposure to a wide variety of conditions, including those that are rare, subtle, or easily confus…
  pubmed Mohr G, Zhu Y, Ye X, Lennon M 等 2026 Jun 12 置信度 0.82
• AI-guided meta-analysis of non-invasive prenatal testing platforms for trisomy 21 screening: comparative evaluation of cffDNA and fetal cell-based approaches.
  Trisomy 21 (Down syndrome) remains the most prevalent autosomal aneuploidy, necessitating accurate prenatal diagnosis. While cell-free fetal DNA (cffDNA)-based non-invasive prenatal testing (NIPT) has transformed screening, challenges persist in low fetal frac…
  pubmed Elmetwalli A, Ameen F, Magrashi N, Alamri ES 等 2026 Jun 11 置信度 0.82
• Emerging technologies in interventional pain management: a scoping review on current innovations and future directions.
  Emerging digital and bioelectronic technologies are rapidly transforming interventional pain management, but their clinical roles and evidence base remain unclear. A scoping review of these innovations is needed to map the current landscape and identify gaps f…
  pubmed Farrokhi MR, Vadiee G, Nematollahi R 2026 Jun 11 置信度 0.82
• Strongyloides stercoralis infection in patients presenting with lower respiratory tract infections: a retrospective case series from a tertiary hospital in Vietnam.
  Strongyloides stercoralis infection is frequently overlooked in patients presenting with lower respiratory tract infections (LRTIs) because of nonspecific clinical manifestations, despite its potential to cause severe pulmonary involvement, particularly in end…
  pubmed Van Giap V, Xuan Co D, Thu Phuong P, Thi Quynh Huong P 等 2026 Jun 12 置信度 0.82
• Mapping E-Cigarette Content on Social Media: A Scoping Review of Methods, AI Applications, and Promotional Strategies.
  E-cigarette narratives on social media are rapidly evolving alongside the rise of short-form video and advances in artificial intelligence (AI) that enable scalable content analysis. This scoping review mapped research on e-cigarette-related social media conte…
  pubmed Tiong WN, A Rahim AI, Arifin Wan Mansor WN, Yaacob NA 2026 置信度 0.82
• Artificial Intelligence in Neuropathic Pain: From Mechanisms to Neuromodulation and Regenerative Strategies.
  Neuropathic pain remains challenging due to its heterogeneous mechanisms and variable treatment response. This narrative review evaluates recent advances in artificial intelligence (AI) and machine learning (ML) for patient phenotyping, treatment selection, ou…
  pubmed Lo Bianco G, Deer TR, Occhigrossi F, Diwan S 等 2026 Jun 12 置信度 0.82
• Innovative strategies to overcome cancer drug resistance: from nanodelivery systems to targeted therapeutics.
  Cancer drug resistance, driven by complex genetic mutations, epigenetic plasticity, and tumor microenvironment interactions, remains the primary cause of therapeutic failure and poor patient survival. This review critically synthesizes current resistance mecha…
  pubmed Rejili M, Farahani N, Alimohammadi M, Hushmandi K 2026 Jun 12 置信度 0.82
• Revenue-sensitive evaluation of AI-assisted ICD-10-CM coding and human-AI collaboration under dual DRG payment systems.
  Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous conditions (the full 7942-code…
  pubmed Chen MI, Hsu YL, Chen YH 2026 Jun 11 置信度 0.82
• A systematic review of explainable artificial intelligence and cardiac electrophysiological models addressing sports-related sudden cardiac death and arrest in adolescents and young adults.
  Sudden Cardiac Death (SCD) is a fatal event occurring within one hour of a witnessed or 24 hours of an unwitnessed Sudden Cardiac Arrest (SCA), being the leading medical cause of death among adolescent and young adult athletes. We examined the epidemiol…
  pubmed Vanegas Müller E, Srikijkasemwat N, Gan A, Raman B 等 2026 Jun 11 置信度 0.82
• Disease Prediction and Precision Veterinary Medicine: Applications, Opportunities, and Limitations of Artificial Intelligence in Small Animal Practice.
  Artificial intelligence and machine learning are increasingly shaping the future of small animal veterinary medicine, particularly through predictive modeling that estimates disease risk. This article introduces key concepts underlying disease prediction and p…
  pubmed Ruple A, Reid SWJ 2026 Sep 置信度 0.82
• Clinical Importance of All the Characteristics of Late Gadolinium Enhancement from Acquisition to Expert and Artificial Intelligence Analysis: State-of-the-Art.
  Late gadolinium enhancement (LGE) assessed by cardiovascular magnetic resonance is the cornerstone in the assessment of myocardial tissue characterization, providing crucial diagnostic and prognostic information across a wide spectrum of cardiac conditions. Wh…
  pubmed Florence J, Unger A, Gonçalves T, Liberato G 等 2026 Jun 11 置信度 0.82
• Deep learning applications in cancer treatment Prediction: Comprehensive research foundation for systematic review and Meta-Analysis.
  Deep learning has rapidly emerged as a transformative technology in oncology, offering new capabilities in treatment response prediction and personalized cancer care. This systematic review and meta-analysis aim to evaluate the predictive performance, methodol…
  pubmed Tunca S, Balcioglu YS, Elmas-Cecen BO 2026 Aug 置信度 0.82
• Charting human cellular senescence in aging and disease.
  Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity ("senotypes"), revealin…
  pubmed Suryadevara V, Farzad N, Yang M, Xu K 等 2026 Jun 11 置信度 0.82
• Expeditionary Point-of-Care Ultrasound for Combat and Austere Environments.
  Point-of-care ultrasound (POCUS) enhances combat survivability, yet civilian standards often fail to address battlefield constraints. This scoping review delineates Expeditionary POCUS (E-POCUS) as a distinct capability.
  pubmed Stevens RA, Ausman CE, Korb D, Hall B 等 2026 Jun 27 置信度 0.82
• Artificial Intelligence in Oncology: Practical Applications Across Clinical Care, Scholarship, and Translation.
  Artificial intelligence (AI) is increasingly integrated into oncology across clinical care, research workflows, and translational implementation. This chapter provides a practical overview of these domains, emphasizing opportunities and limitations relevant to…
  pubmed Hundal J, Veettil AAV, Chung C, Hosseini M 2026 Jun 置信度 0.82
• Effectiveness of Guideline-Based Clinical Decision Support Systems: Protocol for a Systematic Review.
  Clinical guidelines (CGs) standardize care through evidence-based recommendations, while clinical decision support systems (CDSS) can assist in applying these guidelines to individual patients. The scientific basis for the decisions offered by decision support…
  pubmed Aksu BN, Gashi B, Schiefenhövel F, Boeker M 2026 Jun 11 置信度 0.82
• Clinical artificial intelligence applications of vision-language foundation models.
  Vision-language models (VLMs) represent a transformative advance in generative artificial intelligence (AI), using multimodal data processing to enhance clinical decision-making and workflow efficiency. Built on transformer architectures, VLMs excel in tasks l…
  pubmed Thirunavukarasu AJ, Li S, Qin P, Nie D 等 2026 Jun 置信度 0.82
• AI-Generated Multiple Mini Interview (MMI) Stations for Medical School Admissions: Psychometric Evaluation.
  Multiple mini interviews (MMIs) are widely used in medical school admissions to assess applicants' nonacademic attributes in a structured and reliable manner. However, the development of high-quality MMI stations is resource intensive and dependent on expert i…
  pubmed Hamila S, Birchill K, Cao K, Hossain MN 等 2026 Jun 11 置信度 0.82
• Current state of electronic problems lists in primary care: a rapid scoping review.
  Electronic problem lists (PLs) are central to the problem-oriented medical record and increasingly underpin clinical decision support (CDS), interoperability, and emerging artificial intelligence applications in primary care. However, persistent concerns regar…
  pubmed Nair R, Bekker I, Singer A, Lau F 2026 Jun 11 置信度 0.82
• Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.
  Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, systemic inflammation, and postburn immunosuppression promote microbial colonization and progression to local and…
  pubmed Țânțu AC, Țânțu MM, Vrancianu CO, Sandu AM 等 2026 Aug 置信度 0.82
• On the Use and Application of Virtual Reality in Diagnostic Radiology.
  Immersive technologies, particularly virtual reality (VR), have significantly advanced since their inception in the mid-twentieth century. In recent years, the development of affordable, high-quality VR systems has catalyzed their application across various fi…
  pubmed Bauml J, Rizvi A, Quraishi MI, Krupinski EA 等 2026 Jun 11 置信度 0.82
• Refining the Bariatric Journey: A Proposed Neoadjuvant and Adjuvant Framework for GLP-1 Receptor Agonists Inspired by Oncology.
  Bariatric surgery is the most effective intervention for severe obesity, yet challenges such as perioperative risks in super-obesity and long-term weight regain persist. This narrative review proposes a novel multimodal framework for integrating GLP-1 receptor…
  pubmed Song K, Zhang Q, Li S, Du Q 等 2026 Jun 11 置信度 0.82
• Recent advances in biomass deconstruction, microbial conversion, artificial intelligence, and carbon capture for sustainable bioenergy.
  The transition from fossil fuels to low-carbon bio-based energy systems is increasingly constrained by the efficiency, scalability, and integration of conversion technologies. Addressing this challenge, this review critically analyzes microbial biofuel product…
  pubmed Kumar V, Mishra S, Joshi P, Misra J 等 2026 Jun 11 置信度 0.82
• Artificial Intelligence in Tumor Evolution: Understanding Cancer Complexity Through Multi-Modal Data Integration in Precision Oncology.
  Cancer research has undergone a fundamental transformation in recent decades due to the integration of artificial intelligence (AI) models into the study of tumor biology. However, tumor evolution, driven by genetic and phenotypic alterations leading to hetero…
  pubmed Espinosa-Sánchez A, Carnero A 2026 Jun 3 置信度 0.82
• Polypharmacology of Pathway Crosstalk in Neurodegenerative Diseases: Chemical Modulation of Interconnected Signaling Networks.
  Neurodegenerative disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS), arise from highly interconnected molecular and cellular abnormalities that progressively lead to neur…
  pubmed Khan MS, Zafar I, Noman M, Yang G 等 2026 May 22 置信度 0.82
• Radiology: Cardiothoracic Imaging Highlights 2025.
  Radiology: Cardiothoracic Imaging publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. This review article, led by the Radiology: Cardiothoracic Imaging Early Career Editorial Board, highlights selected articles publi…
  pubmed Pinos D, Gomes de Farias LP, Onnis C, Suchá D 等 2026 Jun 置信度 0.82
• FROM DISCOVERY SCIENCE TO THE CLINIC - HERITABLE ENDOCRINE CANCERS AND RELATED DISORDERS: Functional imaging in hereditary endocrine neoplasms: evolving modalities and clinical implications.
  Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and high risk of multifocal and metastatic disease. Functional imaging (FI) is now integral to their management, pr…
  pubmed Ludgate S, Brennan SC, McNeil J, Tsang VH 等 2026 Jul 1 置信度 0.82
• From Molecules to Machines: An Integrative Framework Linking Molecular Pathogenesis, Multi-Factorial Risk, Risk Stratification, Clinical Management, and Artificial Intelligence in QT Prolongation and Sudden Cardiac Death.
  QT prolongation causes torsades de pointes sudden death from heritable, pharmacologic, metabolic, nutritional triggers. Its dimensions have been studied separately. This integrative review synthesizes research on molecular pathogenesis, acquired/metabolic/nutr…
  pubmed Farjam M, Yazdanpanah MH, Fereydouni N 2026 Jun 置信度 0.82
• Review Article | Artificial Intelligence Applications in Prognosis and Treatment of Neuro-oncology: A review.
  Artificial intelligence (AI) is the general term that contains Machine Learning (ML), and Deep Learning (DL). Utilization of these technologies in brain tumor treatment and prognosis is promising.
  pubmed Al-Rahbi A, Al-Habsi T, Al-Saadi T 2026 Jan 置信度 0.82
• Precision immunopharmacology in peri-implantitis management: from molecular mechanisms to advanced therapeutic strategies.
  To review the evolving shift in peri-implantitis research from traditional mechanical debridement toward host-modulatory and immunopharmacological concepts, focusing on molecular pathogenesis, candidate therapeutic targets, and advanced drug delivery systems r…
  pubmed Chen Y, Yuan Q, Cui M, Guo Z 2026 置信度 0.82
• Artificial intelligence in preventive care in primary health care settings: a scoping review.
  Artificial Intelligence (AI) could be integrated into Primary Health Care (PHC) to enhance the preventive care of several diseases. This scoping review aims to provide current evidence on AI applications for the prevention of non-infectious diseases in PHC. A …
  pubmed Katsakiori PF, Mulita F, Papadimitroulas P 2026 置信度 0.82
• Personalised Dosimetry in Nuclear Medicine: Bridging Physics, Biology and AI for Next Generation Radiopharmaceutical Therapy.
  Radiopharmaceutical dosimetry is rapidly evolving from a physics-dominated calculation tool to a central pillar of precision nuclear medicine. As targeted radionuclide therapies expand across indications, there is a growing clinical imperative to personalize d…
  pubmed Shanmugiah J, Kim JS 2026 Jun 置信度 0.82
• What are we missing? Reflections on the 'problem' of missed appointments in the UK.
  Tackling missed appointments has become a prominent part of conversations about the 'recovery' of the UK NHS from the COVID-19 pandemic. With long waiting lists, delays in access to primary care, and overburdened staff, it seems logical that efforts should be …
  pubmed Lindsay C, Ellis DA, Baruffati D, Mackenzie M 等 2026 置信度 0.82
• Digital Tools for the Recognition and Triage of Abnormal Uterine Bleeding: A Narrative Review.
  Abnormal uterine bleeding is a common gynaecological presentation, but patients frequently face difficulty distinguishing normal variation from bleeding that requires medical assessment. Digital health tools, including menstrual tracking applications, electron…
  pubmed Zahoor H, Rajra SK 2026 Jun 置信度 0.82
• Emerging metallic nanotechnology platforms for cancer sensing and imaging.
  Despite major advances, the management of cancer remains one of the greatest unresolved challenges in medicine and a leading cause of death worldwide. Thus, improved, early, and minimally invasive diagnostics are urgently demanded. In recent years, extraordina…
  pubmed Negahdary M, Skinner W, Mabbott S, Nicolson F 2026 Jun 置信度 0.82
• Revolutionizing medical physiology education: a narrative review of the transition from traditional classrooms to artificial intelligence.
  Medical physiology is a foundational component of medical education, offering vital details about normal human function and a deep understanding of disease processes. Traditionally taught through lectures, textbooks, and laboratory demonstrations, physiology e…
  pubmed Al-Rahbi A, Agarwal H, Sirasanagandla SR, Azmi MO 等 2026 置信度 0.82
• Artificial intelligence-assisted radiotherapy for pelvic and abdominal malignancies: assessing feasibility in the context of Africa-specific risks.
  Cancer care in Africa remains severely limited, with pelvic and abdominal malignancies contributing substantially to the disease burden. Radiotherapy is essential but constrained by infrastructure deficits, workforce shortages, and systemic inequities. Artific…
  pubmed Fiagbedzi E, Acquah GF, Baidoo AM, Osei-Poku L 等 2026 置信度 0.82
• Robot-Assisted Dentistry: What the Evidence Supports and Which Outcomes Are Still Missing.
  Dentistry has rapidly adopted digitally planned workflows, supported by cone-beam computed tomography, intraoral scanning, and virtual planning, expanding computer-assisted implant surgery through static guides, dynamic navigation, and robotic guidance. Howeve…
  pubmed Alghamdi A, Alqahtani G, Dashti A, Aljameel N 等 2026 May 置信度 0.82
• Characterization and Clinical Implications of Multidrug-Resistant Klebsiella pneumoniae in ICU Patients in India: A Comprehensive Review.
  Multidrug-resistant (MDR) Klebsiella pneumoniae has become a prominent cause of healthcare-associated infections, especially in Intensive Care Units (ICUs), constituting a major threat to patient outcomes and healthcare systems. This review examines the epidem…
  pubmed Karande G, Mohite ST, Karande S, Patil S 2026 May 置信度 0.82
• [Telemedicine and Digital Technologies in Neurological Intractable Diseases].
  The management of neurological intractable diseases is constrained by structural barriers, including the uneven distribution of specialists and the chronic, progressive course of these conditions, which limits timely access to appropriate care. In the context …
  pubmed Oyama G 2026 Jun 置信度 0.82
• Artificial intelligence augmented tutoring vs expert instruction on learning simulated general surgical skills: a systematic review and meta-analysis.
  Surgical training suffers from a global deficit; 5 billion people lack access to safe surgery, with an estimated 143 million additional procedures needed annually. Traditional surgical education, constrained by the apprenticeship model, faces critical limitati…
  pubmed Hanna F, Gad MM, Helmy MBF, Eisa MM 等 2026 Jun 10 置信度 0.82
• Yolov7 neural network for pelvic X-rays after total hip arthroplasty: automatically measuring component position parameters- a retrospective feasibility study.
  After total hip arthroplasty (THA), regular follow-up X-rays are required to evaluate the position of the prosthesis. However, measuring the parameters of prosthesis position consumes a significant amount of time, and there may be variations in the results obt…
  pubmed Li J, Ding L, Zhang K, Zhang Y 等 2026 Jun 10 置信度 0.82
• Transforming hemodialysis care: a tripartite collaboration model among medical staff, AI agents, and robots.
  Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constraints and substantial increases in cognitive and physical workloads, making workload reduction an urgent priori…
  pubmed Noda R, Sakurada T, Ichikawa D, Shibagaki Y 2026 Sep 置信度 0.82
• Does ChatGPT need a psychiatrist? Similarities between human psychopathology and errors in large language models.
  Two striking phenomena of the human mind encountered in mental healthcare are hallucinations and confabulations; perceiving things that are not there, or filling memory gaps with invented stories. Interestingly, contemporary artificial intelligence systems, su…
  pubmed de Boer JN, Ciampelli S, Hailemariam AK, Koops S 等 2026 Jun 10 置信度 0.82
• Non-invasive characterization of the relationship between skin microrelief and dermal-epidermal junction topography using line-field confocal optical coherence tomography (LC-OCT).
  Non-invasive technologies for observing internal skin structures without damaging the surface have advanced in recent years. However, an integrated understanding of internal structures together with the morphology of surface "microrelief"-the surface pattern c…
  pubmed Uda K, Iwami K, Yoshida N, Homma T 2026 Jun 10 置信度 0.82
• A Scoping Review of Endoscopic Assessment Considering Disease Extent in Ulcerative Colitis: Insights for the Artificial Intelligence Era.
  Conventional endoscopic indices for ulcerative colitis (UC) primarily assess the most severely affected segment, potentially underestimating the cumulative inflammatory burden across the colon. Consequently, there is increasing interest in assessment methods t…
  pubmed Maeda Y, Kudo SE, Kuroki T, Kawabata Y 等 2026 Jul 15 置信度 0.82
• Evaluating reasoning in multimodal large language models for ophthalmology: a bilingual benchmark study using clinical vignettes and imaging.
  Large language models (LLMs) excel in text-based medical exams, but their ability to integrate multimodal data, critical for ophthalmology, is underexplored. This study evaluates vision-language LLMs' accuracy and reasoning in complex ophthalmic questions.
  pubmed Yin H, Zhao K, Shi D, Grzybowski A 等 2026 Jun 10 置信度 0.82
• Big Data in Pediatric Oncology: Hope, Hype, Reality.
  Proposed uses of "big data" in pediatric oncology are growing alongside the notoriety that big data has achieved from uses outside of medicine. While big data approaches hold promise to revolutionize how we collect, analyze, and act upon biomedical data, a num…
  pubmed Wyatt KD, Volchenboum SL 2026 Jun 置信度 0.82
• Dysregulated lipid metabolism in dry eye disease: Pathophysiological mechanisms and emerging treatments.
  Dry eye disease (DED) is increasingly recognized as a metabolic disorder characterized by the disruption of lipid homeostasis rather than solely an inflammatory condition. This review synthesizes current evidence regarding the dysregulation of lipid metabolism…
  pubmed Duan H, Sheng P, Zhang Y, Ma B 等 2026 Jul 置信度 0.82
• Artificial intelligence and medical retina training: A scoping review of educational opportunities, emerging risks, and curricular responses.
  Autonomous artificial intelligence (AI) systems for retinal image interpretation are being deployed in routine clinical practice, fundamentally altering the training environment of retinal specialists. We map available evidence on how AI integration affects me…
  pubmed Hanhart J, Brosh K, Zur D, Loewenstein A 等 2026 Jun 10 置信度 0.82
• Translational gaps in immuno-AI: From algorithmic accuracy to clinical trust.
  Artificial intelligence has shown remarkable promise in predicting patient responses to immune checkpoint inhibitors across cancers. However, despite high statistical performance, clinical translation remains minimal. This disconnect between algorithmic accura…
  pubmed Oisakede EO, Ayo Daniel RI, Olawuyi OF, Alabi JO 等 2026 Aug 置信度 0.82
• Artificial intelligence to revolutionize surgical decision-making is still just around the corner.
  Medical artificial intelligence, especially large language models, has engendered both excitement and unease across the medical community, promising improved surgical diagnostic accuracy, perioperative decision-making, and patient safety amidst concerns of con…
  pubmed Zhang SK, Rodman A 2026 Aug 置信度 0.82
• Prospective and external evaluation of an AI model for continuous and early prediction of moderate and severe AKI in critically ill patients.
  Acute kidney injury (AKI) is a major complication in critically ill patients, burdening both patients and healthcare systems. We previously introduced an AI-based model for early and continuous prediction of ICU-acquired AKI (ICU-A-AKI-2/3). In this study, we …
  pubmed Alfieri F, Zappalà S, Bacci A, Cauda V 等 2026 Jun 10 置信度 0.82
• Unlocking Neuroprotection: Exercise-Induced Muscle Secretome (Myokines) as a Therapeutic Avenue Against Alzheimer's Disease Pathogenesis.
  This review critically evaluates exercise-induced myokines as neuroprotective agents against Alzheimer's disease (AD) and is structured around three thematic sections: (1) mechanistic foundations of myokine neuroprotection, (2) translational barriers to therap…
  pubmed Shirvani H, Pescatello LS, Eftekhari Moghadam AR, Arabzadeh E 2026 Jun 10 置信度 0.82
• Diagnostic accuracy of an artificial intelligence-based breast ultrasound tool in pregnant and lactating patients.
  To assess the diagnostic performance of an artificial intelligence (AI)-based decision support tool for breast ultrasound in pregnant and lactating patients and compare BI-RADS assessments with radiologist interpretation.
  pubmed Dwan D, Lamb LR, Haver HL, Giess CS 等 2026 Jun 10 置信度 0.82
• Comparative evaluation of generative AI models for chest radiograph report generation in the emergency department.
  To benchmark medical image-specific vision-language models (VLMs) against real-world radiologist-written reports, focusing on diagnostic quality, clinical acceptability, hallucinations, and language clarity.
  pubmed Lim WH, Lee JY, Lee JH, Kim S 等 2026 Jun 10 置信度 0.82
• Reply to the Letter to the Editor: "Artificial intelligence for post-neoadjuvant axillary prediction".
  pubmed Li Z 2026 Aug 置信度 0.82
• [Digital technologies in the diagnosis and treatment of sleep disorders in patients with post-traumatic stress disorder].
  Sleep disorders are a primary symptom of post-traumatic stress disorder (PTSD). Advances in computer technology have enabled the development of widely accessible wearable devices (WDs) that record objective parameters of patient activity and physiological func…
  pubmed Cheremushkin EA, Ukraintseva YV 2026 置信度 0.82
• Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.
  Comparative evaluations of commercially available artificial intelligence (AI) systems for use in diabetic retinopathy (DR) screening, particularly studies that identify systems by name, are limited, constraining procurement and implementation. This study aime…
  pubmed Cleland CR, Bascaran C, Makupa WU, Shilio B 等 2026 Aug 1 置信度 0.82
• MedADL: high-throughput information extraction of functional status from electronic health records to advance frailty assessment in older adults.
  Functional status is essential for assessing frailty and planning care in older adults but is often under-documented in the structured fields of electronic health records. Manual chart review can capture functional status information but is labor-intensive and…
  pubmed Fu S, Yue Z, Nguyen JT, Liu H 等 2026 Jul 1 置信度 0.82
• The role of emerging technology in expanding regional anesthesia education and patient access.
  The purpose of this article is to identify promising technologies that can enhance core regional anesthesia training, competence, and global implementation, which will lead to both expansion in patient access and improvements in perioperative outcomes.
  pubmed Foster KE, Hong HJ, Kapur N, Mariano ER 2026 Jun 9 置信度 0.82
• Research advances in chronic thromboembolic pulmonary hypertension: from pathological mechanisms to multidisciplinary management.
  Chronic Thromboembolic Pulmonary Hypertension (CTEPH), classified as group 4 pulmonary hypertension (PH), is a progressive disease caused by unresolved pulmonary artery thrombi that undergo organization and fibrosis, leading to increased pulmonary vascular res…
  pubmed Zhang JJ, Huang YQ, Liu XK, Sun XL 等 2026 置信度 0.82
• Ten Commandments of Off-Pump Coronary Artery Bypass Surgery.
  Off-pump coronary artery bypass (OPCAB) surgery offers distinct advantages over conventional on-pump techniques, including reduced inflammatory response, lower stroke risk, and improved outcomes in high-risk patients. Despite these benefits, concerns persist r…
  pubmed Raja SG 2026 Jun 置信度 0.82
• Occupational dust exposure and cerebral small vessel disease: a public health perspective on prevention and early detection.
  Occupational dust exposure represents a modifiable environmental risk factor not only for respiratory diseases but also for accelerated brain aging through its association with cerebral small vessel disease (CSVD). This link poses a significant yet underrecogn…
  pubmed Wang Y, Zhang S, Chen L, Zhang H 等 2026 置信度 0.82
• Implementation of evidence-based alcohol policies to reduce alcohol-related harm and liver disease to advance public health in Europe.
  Alcohol-related liver disease (ALD) remains a leading cause of preventable morbidity and mortality in Europe. Despite robust evidence that alcohol-related population-level policies delay use initiation and reduce associated harms, their implementation in Europ…
  pubmed Pose E, Díaz LA, Parker R, Israelsen M 等 2026 Jun 置信度 0.82
• Diagnostic innovation and models of care to improve fibrosis detection and risk stratification in steatotic liver disease.
  Steatotic liver disease (SLD) is the leading cause of chronic liver disease in Europe, with liver fibrosis representing the strongest predictor of liver-related outcomes and an important contributor to cardiometabolic risk. This Series paper examines diagnosti…
  pubmed Pugliese N, White TM, Brennan PN, Pannain S 等 2026 Jun 置信度 0.82
• Colorectal Surgery Education in 2040.
  The Accreditation Council for Graduate Medical Education (ACGME) recently conducted their 10-year specialty-specific revision of the colon and rectal surgery program requirements. During this process, leaders in our field began to hypothesize what training in …
  pubmed Ault GT, Lim A, Peters A 2026 Jul 置信度 0.82