医疗人工智能 · 全部实体（第 11 / 100 页）

本页收录第 1001–1100 条，共 10000 条 · 返回 医疗人工智能 首页

• Non-Invasive Diagnosis of Early Breast Cancer: Current and Emerging Liquid Biopsy Biomarkers.
  Background/Objectives: Breast cancer (BC) remains the most frequently diagnosed malignancy among women worldwide, and patient outcome is strongly influenced by disease stage at diagnosis. Although imaging-based screening has improved early detection, its perfo…
  pubmed Kotsifaki A, Masoura CR, Limogianni G, Kalouda G 等 2026 Jul 20 置信度 0.82
• Basal Cell Carcinoma Research Landscape Overview via Latent Dirichlet Allocation and HJ-Biplot Analysis.
  Background : Basal cell carcinoma (BCC) of the skin is the most common cancer in humans, and its incidence rises annually. Despite its low death rate, BCC causes significant morbidity because of its destructive nature to local tissues. The aim of this study wa…
  pubmed Montes-Escobar K, de La Hoz-Maestre J, Llinás-Solano H, Salas-Macias CA 等 2026 Jul 17 置信度 0.82
• Intraoperative Ultrasound in Hepatic Oncology Surgery: A Narrative Review of Its Impact on Surgical Strategy and Oncologic Outcomes.
  Background/Objectives: Intraoperative ultrasound (IOUS) has become an integral component of modern hepatic oncology surgery, providing real-time imaging guidance during liver resections for hepatocellular carcinoma, colorectal liver metastases, and other prima…
  pubmed Nicolescu C, Cosma CD, Botoncea M, Bartoș A 等 2026 Jul 17 置信度 0.82
• PET Imaging in Vulvar Cancer: A Literature Review of the Current Evidence and Clinical Applications.
  Vulvar cancer is a rare gynecologic malignancy with a bimodal age distribution, predominantly affecting older women while demonstrating increasing HPV-related incidence in younger populations. Accurate staging is essential for individualized treatment strategi…
  pubmed Gazawi R, Lataifeh H, Alzibdeh A, Abdulrahman M 等 2026 Jul 17 置信度 0.82
• Performance of Machine Learning Models for Prognosis Prediction in Oral Cavity Squamous Cell Carcinoma: A Systematic Review.
  Background/Objectives : Machine learning (ML) models have increasingly been applied to prognostic prediction in oral cavity squamous cell carcinoma (OCSCC), though their performance and methodological quality remain variably reported. This systematic review ev…
  pubmed Gao SY, Hughes JM, Nguyen SA, McCaulay BS 等 2026 Jul 14 置信度 0.82
• Statin Therapy and Cardiovascular Prevention: Contemporary Evidence, Challenges, and Future Directions-A Narrative Review.
  Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide, and lowering low-density lipoprotein cholesterol (LDL-C) remains a cornerstone of cardiovascular prevention. Statins are among the most extensively studied and widely …
  pubmed Zachariah D, Kakooza D, Pothas S, Thomas A 等 2026 Jul 17 置信度 0.82
• Active Aging for L.I.F.E.: An Intergenerational Program to Improve Adolescents' Aging Attitudes in Rural Communities.
  Rural adolescents face persistent health inequities driven by limited access to preventive health education, intergenerational engagement, and resources that support lifelong wellness. This study evaluated the effectiveness of Active Aging for L.I.F.E., a scho…
  pubmed Chen X, Roberts E 2026 Jun 23 置信度 0.82
• Uncertainty-Aware Prediction Across Endoscopic Domains: Laryngeal Narrow-Band and Gastrointestinal Imaging.
  Background : Deep-learning systems for endoscopic image classification are commonly evaluated with random data splits, which may overestimate performance under acquisition shift; uncertainty-aware selective prediction may improve reliability by allowing a mode…
  pubmed Kiani Kalejahi B, Khan S, Akhrorov M, Javad Rajabi M 等 2026 Jul 17 置信度 0.82
• AI-Based Classification of Multiple Sclerosis Using OCT Retinal Layer Thickness Across Two Centers.
  Background: The latest revision of the McDonald criteria for diagnosis of multiple sclerosis (MS) establishes that the optic nerve can serve as a fifth anatomical location within the central nervous system for diagnosis. Optical coherence tomography (OCT) imag…
  pubmed Ortiz M, Dongil-Moreno J, Rebolleda G, Artiaga N 等 2026 Jul 17 置信度 0.82
• AI-Assisted Brain Tumor MRI Reporting and Treatment-Planning Segmentation: A Retrospective Paired Workflow Evaluation.
  Background : Brain tumor magnetic resonance imaging (MRI) reporting and tumor segmentation for treatment planning are time-consuming and variable. This retrospective fixed-sequence paired workflow study evaluates whether AI assistance is associated with change…
  pubmed Hong JS, Lee WK, Chen JJ, Sun YC 等 2026 Jul 16 置信度 0.82
• Evaluation of ChatGPT-5 for CT Imaging in Canadian CT Head Rule-Positive Mild Traumatic Brain Injury: A Pilot Study.
  Background and Objectives: Mild traumatic brain injury (mTBI) is a common cause of emergency department visits worldwide. Optimal decisions are essential for optimizing patient outcomes while minimizing unnecessary imaging. The present study explores the poten…
  pubmed Lampros M, Romeo E, Zagorianakou P, Voulgaris S 等 2026 Jul 11 置信度 0.82
• Correction: Shait Mohammed et al. Profiling the Effect of Targeting Wild Isocitrate Dehydrogenase 1 (IDH1) on the Cellular Metabolome of Leukemic Cells. Int. J. Mol. Sci. 2022, 23, 6653.
  There were some errors in the original publication [...].
  pubmed Shait Mohammed MR, Alzahrani F, Hosawi S, Choudhry H 等 2026 Jul 10 置信度 0.82
• In Silico Models Using Simple Molecular Descriptors Predict Placental and Breast Milk Transfer of Cannabinoids from Cannabis sativa.
  Despite an increasing interest in the pharmacology of cannabinoids from Cannabis sativa , little is known to date about their ability to cross the placenta and to be secreted into breast milk, and in this study, we sought to fill this gap. In total, 126 phytoc…
  pubmed Sobańska AW, Hekner A, Maciejek K, Sobański AM 2026 Jul 20 置信度 0.82
• Deep Learning-Based Virtual Screening Identifies Potential Small-Molecule Inhibitors of ASK1: Natural Product Lead Discovery for MASH.
  Apoptosis signal-regulating kinase 1 (ASK1) represents a critical therapeutic target for metabolic dysfunction-associated steatohepatitis (MASH). Natural products, owing to their unique chemical diversity, constitute a rich reservoir for discovering novel ASK1…
  pubmed Zhao R, Yang J, Han M, Tang S 等 2026 Jul 20 置信度 0.82
• Multi-Property De Novo Drug Design Using Deep Learning-Based Knowledge Distillation and Reinforcement Learning.
  Computer-aided de novo drug design has been widely explored for early-stage drug discovery, yet the multi-property optimization of novel molecules remains challenging. We aimed to develop a de novo drug design model to efficiently optimize multiple properties …
  pubmed Wang L, Lu Z, Cui L, Liu C 等 2026 Jul 8 置信度 0.82
• Towards Cost-Effective and Sustainable Media Formulations for Terrestrial and Aquatic Cellular Agriculture.
  Over a decade of research on media for cultured meat and seafood production has resulted in multiple highly efficient serum-free and chemically defined formulations for some species, but it has also identified challenges yet to be solved-especially for aquatic…
  pubmed Leber R, Rosa JT, Laizé V, Fernando GF 等 2026 Jul 14 置信度 0.82
• Next-Generation Sequencing in Pulmonary Fibrosis: Translational Promise and Current Clinical Limitations.
  Pulmonary fibrosis (PF), particularly idiopathic pulmonary fibrosis (IPF), is a progressive and often fatal interstitial lung disease characterised by complex genetic and molecular heterogeneity. Traditional diagnostic approaches, which rely on clinical, radio…
  pubmed Pagliaro R, Perrotta F, Zamparelli SS, Carrozzo VM 等 2026 Jul 15 置信度 0.82
• Artificial Intelligence-Enabled Exosomes in Precision Oncology: A Framework for Clinical Utility and Biomedical Applications.
  Exosomes are 30-150 nm extracellular vesicles that convey molecular information reflecting the physiological and pathological states of their source cells. In precision oncology, they function as a non-invasive "liquid biopsy," enabling real-time monitoring of…
  pubmed Gangadaran P, Rajendran RL, Kavitha MS, Ahn BC 2026 Jul 10 置信度 0.82
• MSeqDR PMD-VR: An Expert-Curated Virtual Registry of 11,000 Mitochondrial Disease Cases Established Through Literature Mining and Generative AI Augmentation.
  Background/Objectives: Patient registries are essential for rare disease research, yet the extensive genetic and phenotypic heterogeneity of primary mitochondrial diseases (PMDs) makes traditional registry development slow and resource-intensive. We establishe…
  pubmed Shen L, Lott MT, Mccormick EM, Muraresku CC 等 2026 Jun 30 置信度 0.82
• Effect of Aptamin C on NK Cell Activity and Cytotoxicity: A Randomized Placebo-Controlled Trial and In Vitro Comparison with Vitamin C.
  Natural killer (NK) cells are crucial components of innate immunity and rapidly eliminate abnormal cells through ligand-receptor signaling without prior sensitization. Vitamin C is known to enhance NK cell function; however, its susceptibility to oxidation may…
  pubmed Ahn H, Lee J, Park JH, Barn JS 等 2026 Jun 25 置信度 0.82
• From Modified Haller Index to a Novel Patented Anatomical Measurement Device: Engineering Development, Validation, and Clinical Applications of Non-Invasive Thoracic Morphometry.
  Thoracic morphology is increasingly recognized as an important determinant of cardiopulmonary phenotype, influencing cardiovascular mechanics, respiratory physiology, and the interpretation of diagnostic imaging findings. Although the radiological Haller Index…
  pubmed Sonaglioni A, Nicolosi GL, Baravelli M, Lombardo M 2026 Jul 21 置信度 0.82
• AI-Guided Home-Based Therapy for Convergence Insufficiency: A Comparative Feasibility Study with Pencil Push-Ups.
  Convergence insufficiency (CI) is a common binocular vision disorder that causes eye strain, headaches, and blurriness. Although pencil push-ups (PPU) are widely used to treat CI, their real-world effectiveness may be limited by inconsistent performance and po…
  pubmed Khatib A, Raz S, Shvartz E, Shimshoni I 等 2026 Jul 17 置信度 0.82
• Fully Automated Biometric Parameter Measurement in Prenatal Ultrasound Screening for Total Anomalous Pulmonary Venous Connection.
  Total anomalous pulmonary venous connection (TAPVC) is a severe congenital heart disease, yet its prenatal detection rate remains suboptimal. To support prenatal ultrasound screening of TAPVC, the post-left atrium space (PLAS) index and the left-atrial posteri…
  pubmed Aoyama R, Harada N, Komatsu M, Komatsu R 等 2026 Jul 17 置信度 0.82
• SHAP-Based Feature Augmentation and Stacking Ensemble Learning for ECG-Based Serum Potassium Abnormality Prediction.
  Electrocardiogram (ECG) signals contain important clinical information associated with serum potassium abnormalities. However, in Taiwan, raw patient data and original medical signals generally cannot be taken outside the hospital environment, thereby limiting…
  pubmed Ko YH, Hung CS, Lin CR, Ciou YF 等 2026 Jul 16 置信度 0.82
• Clinical Translation of Artificial Intelligence-Driven Gait Analysis Using Plantar Pressure and Ground Reaction Force.
  Background : Artificial intelligence (AI)-driven gait analysis using plantar pressure and ground reaction force (GRF) signals may provide objective digital biomarkers for rehabilitation, but clinical translation remains uncertain. This scoping review and evide…
  pubmed Yang J, Dong C, Zhang X, Tang S 等 2026 Jul 11 置信度 0.82
• Association of the Frailty-to-Estimated Cardiorespiratory Fitness Ratio with Prevalent Stroke in Middle-Aged and Older Adults: A Cross-Sectional NHANES Study.
  Stroke remains a major cause of disability worldwide, and population-level indicators that integrate multidimensional vulnerability with physiological reserve may provide useful perspectives for characterizing cerebrovascular health in aging populations. This …
  pubmed He Y, Yuan W, Lv M, Yang Y 等 2026 Jun 26 置信度 0.82
• Mapping the Global Trajectory and Key Trends of Temporal Interference Stimulation.
  Since its inception in 2017, temporal interference stimulation (TIS) has attracted increasing attention as a novel neuromodulation approach with the potential to non-invasively target deep brain structures. As the field moves from initial biophysical validatio…
  pubmed Qi L, Gao Z, Pan X, Li J 等 2026 Jun 25 置信度 0.82
• Attention-Based Multimodal Framework for Athlete-Performance Analysis and Rehabilitation Monitoring Using Vision and Wearable Sensors.
  Advances in monitoring systems featuring wearable sensors, computer vision, and artificial intelligence (AI) have been increasingly used in sports science and rehabilitation practices as a means of movement pattern analysis, injury prevention, and training opt…
  pubmed Alonazi M, Abro IA, Abdelhaq M, Alsaqour R 等 2026 Jun 23 置信度 0.82
• Attitudes Toward Artificial Intelligence Among Polish Dentists: A Cross-Sectional Survey.
  Background: Artificial intelligence (AI) is increasingly being integrated into modern dental practice, particularly in diagnostics, radiographic analysis, treatment planning, and practice management. Despite the rapid advancement of AI-based technologies, evid…
  pubmed Nowakowska M, Szalewski L 2026 Jul 21 置信度 0.82
• Advances in Artificial Intelligence for Gastrointestinal Endoscopy: 2026 Update.
  Artificial intelligence (AI) is transforming gastrointestinal (GI) endoscopy into a more standardized, data-driven, and workflow-integrated field. Advances in computer-assisted detection (CADe), diagnosis (CADx), quality assessment (CAQ), natural language proc…
  pubmed Lopez Dominici F, Wallace MB 2026 Jul 18 置信度 0.82
• AI-Assisted Forensic Analysis of Hanging-Related Ligature Marks: A Pilot Study Using Convolutional Neural Networks.
  Background: Artificial intelligence (AI) is increasingly applied in medical image analysis, although its application in forensic pathology remains limited. The assessment of ligature marks in hanging deaths is challenging and relies on forensic expertise. This…
  pubmed Rigano G, De Vita F, Candela L, Bruneo D 等 2026 Jul 18 置信度 0.82
• Next-Generation Cardiovascular Imaging in Precision Medicine: Integrating Functional Imaging, Artificial Intelligence, Biomarkers, and Personalized Risk Stratification.
  Cardiovascular and vascular diseases remain major causes of morbidity and mortality worldwide, despite substantial advances in prevention, diagnosis, and treatment. In recent years, cardiovascular imaging has moved beyond the traditional assessment of anatomy …
  pubmed Siniscalchi C, Basaglia M, Russo V, Di Micco P 2026 Jul 16 置信度 0.82
• PolypSAM-Open: Mitigating Automation Bias in AI-Assisted Colonoscopy via Open-Set Surgical Artifact Rejection.
  Background: Intelligent decision support systems for colonoscopy can fail when encountering out-of-distribution surgical instruments such as snares or biopsy forceps, producing false-positive polyp masks that may contribute to automation bias and reduce workfl…
  pubmed Hasan U, Shahriar S, Hossain F, Hossain MA 等 2026 Jul 16 置信度 0.82
• Imaging Advances in Light Chain Amyloidosis.
  Light chain (AL) amyloidosis is a systemic disorder caused by plasma cell dyscrasia, with cardiac involvement being the primary determinant of prognosis. Survival outcomes vary significantly across disease stages. This heterogeneity underscores a critical need…
  pubmed Qiu M, Shen K, Yang H, Wang J 等 2026 Jul 16 置信度 0.82
• Investigation of the Use of Artificial Intelligence in Anterior Loop Detection: A Panoramic Radiography Study.
  Background/Objectives: The accurate detection of the anterior loop (AL) of the inferior alveolar nerve is critical to avoid neurosensory complications during surgical procedures in the interforaminal region, and panoramic radiography continues to be widely use…
  pubmed Uzun E, İçöz D, Apaydın BK, Orhan K 2026 Jul 15 置信度 0.82
• Noninvasive Prediction of TP53 Gene Status and ATRX Gene Status in IDH-Mutant Glioma Using Multimodal MRI: Incorporating Morphological, Spectroscopic, Diffusion, and Perfusion Imaging.
  Background/Objectives : Noninvasive determination of glioma molecular profiles is clinically crucial for assessing therapeutic efficacy and predicting disease outcomes. This study aimed to evaluate the potential of morphological magnetic resonance imaging (MRI…
  pubmed Chen S, Zhu Z, Yang H, Ye M 等 2026 Jul 12 置信度 0.82
• A Systematic Review on Synthetic Medical Images Generation-Recent Trends and Future Opportunities.
  Background/Objectives: Generative Models have revolutionized the synthesis of complex, realistic medical images. However, obtaining annotated, high-quality datasets is challenging and expensive due to privacy concerns, high human annotation costs, and data sca…
  pubmed Waheed Y, Noor MN, Ashraf I 2026 Jul 10 置信度 0.82
• Multimodal Non-Invasive Skin Imaging in Dermatology: Current Modalities, Clinical Applications, and Future Integration.
  Multimodal non-invasive skin imaging combines complementary technologies, including dermoscopy, reflectance confocal microscopy (RCM), optical coherence tomography (OCT), line-field confocal optical coherence tomography (LC-OCT), and high-frequency ultrasound …
  pubmed Deng JY, Wei JP, Maimaitiyili N, Li XY 等 2026 Jul 9 置信度 0.82
• Assessment of Myocardial Iron Overload and Strain Abnormalities in Pediatric β-Thalassemia Using Multiparametric CMR.
  Background/Objectives: Myocardial iron overload is a major contributor to adverse cardiac outcomes in pediatric patients with transfusion-dependent β-thalassemia (TDT). Cardiovascular magnetic resonance (CMR), including T2* and T1 mapping, allows quantif…
  pubmed Awadi R, Benameur N, Deriche M, Fraj IB 等 2026 Jul 8 置信度 0.82
• From GWAS Signals to Molecular Mechanisms: Explainable AI for Causal Gene Prioritization and Biomolecular Target Interpretation.
  Genome-wide association studies (GWAS) have identified thousands of loci associated with complex human diseases. However, the majority of the association signals reside in non-coding regions of the genome, and do not directly reveal the causal variant, effecto…
  pubmed Ang MY, Chen L, Song L, Lipovich L 等 2026 Jul 14 置信度 0.82
• Network Biology of Alzheimer's Disease and Related Neurodegenerative Disorders: Molecular Mechanisms and Therapeutic Strategies.
  The most persistent biomedical challenges of the 21st century are neurodegenerative disorders (NDs), where molecular alterations lead to devastating clinical consequences and progressive neuronal loss. The prevalence of neurodegeneration is continuously rising…
  pubmed Wali Z, Neha, Shahwan M, Dinislam K 等 2026 Jun 24 置信度 0.82
• Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial.
  Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acute coronary syndrome (ACS) risk stratification in the emergency department (ED). The objective of this study was to evalua…
  pubmed Wang Y, Li R, Pasupathi Y, Chan Y 等 2026 Jul 27 置信度 0.82
• Guideline Concordance of Large Language Model Responses to Parent-oriented Guideline Prompts About Pediatric Acute Bacterial Arthritis.
  Large language models (LLMs) are increasingly used by patients and caregivers to obtain medical information. In pediatric acute bacterial arthritis, non-guideline-concordant information may be clinically important because timely diagnosis and management are es…
  pubmed Çörekci AM, Ateş B, Dinç O, Öztürk AA 2026 Jul 28 置信度 0.82
• Africa's emerging role in precision oncology: translational insights from the harnessing functional genomics in cancer research conference, Windhoek, 23-26 September 2025.
  Africa is entering a new era of cancer research, driven by renewed commitments to genomic innovation, data equity, and strengthened cancer registry systems. The "Harnessing Functional Genomics in Cancer Research: Opportunities for Diagnosis and Treatment" conf…
  pubmed Rix CL, Buberwa EB, Amofa J, Maurihungirire U 等 2026 Jul 28 置信度 0.82
• Video-based artificial intelligence for automated neonatal respiratory monitoring.
  Neonatal respiratory monitoring is essential for the early detection of clinical alterations, especially in preterm newborns. Conventional methods are limited by subjectivity and the use of contact sensors. This experimental technological development study was…
  pubmed Ribeiro SNS, Fernandes AER, Vargas MERR, de Carvalho Velame R 等 2026 Jul 28 置信度 0.82
• Automation dependence in AI-assisted colonoscopy: impact of system reliability and surgeon experience on navigation performance.
  As artificial intelligence (AI) is increasingly introduced into endoscopic navigation, understanding how operators use and respond to AI suggestions is essential for designing safe and effective human-AI collaboration. This study investigated the effects of AI…
  pubmed Tong M, Cui L, Zhu S, Zhang X 等 2026 Jul 27 置信度 0.82
• AI-based assessment of surgical efficiency and exposure quality in laparoscopic distal gastrectomy using a phase recognition model.
  Traditional surgical skill assessment tools are inherently subjective, prone to interobserver variability, and place a substantial burden on expert reviewers. This study aimed to evaluate the feasibility of a proof-of-concept artificial intelligence (AI)-based…
  pubmed Umemiya A, Takenaka S, Kitaguchi D, Arakaki S 等 2026 Jul 27 置信度 0.82
• The Optimal Timing of Ventriculo-Peritoneal Shunting and Gastrostomy Tube Placement: A Nationwide Retrospective Analysis.
  The transition of the neurologically injured patient from the intensive care unit (ICU) environment toward recovery often requires placement of a ventriculo-peritoneal shunt (VPS) and a gastrostomy tube (g-tube). Prior work has demonstrated a significant assoc…
  pubmed McIntyre MK, Chen HA, Gerges Castro C, Daly GE 等 2026 Jul 27 置信度 0.82
• White Matter Hyperintensities on Admission CT are Associated with Worse Outcomes But Not Cerebral Edema or Hemorrhagic Transformation After Large Vessel Occlusion Stroke.
  White matter hyperintensities (WMH) are key radiographic biomarkers of cerebral small vessel disease (CSVD) and have been associated with worse outcomes after stroke. Since CSVD may involve blood-brain barrier disruption, we hypothesized that worse outcomes in…
  pubmed Dietz S, Avula A, Kumar A, Guasch-Jimenez M 等 2026 Jul 27 置信度 0.82
• Arterial Spin Labeling of Cerebral Perfusion in Unresponsive Wakefulness Syndrome: A Proof-of-Concept Comparison with FDG-PET.
  Despite the clinical utility of [ 18 F]-fluorodeoxyglucose positron emission tomography (FDG-PET) in evaluating patients with unresponsive wakefulness syndrome (UWS), its use is constrained by high cost, limited availability, the need for radioactive tracers, …
  pubmed Han J, Duncan NW, Huang L, Lee C 等 2026 Jul 27 置信度 0.82
• AI-integrated multi-omics platform to revolutionize anti-metastatic therapy development through circulating tumor cell profiling: SCRUM-MONSTAR-CTC.
  Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling primary tumors and tracking cell-free tumor DNA (ctDNA). Although ctDNA has transformed genomic profiling, molecular residual…
  pubmed Hashimoto T, Shibuki T, Fujisawa T, Boku S 等 2026 Sep 置信度 0.82
• Lipid-based nanocarrier-enabled combination therapy for breast cancer: overcoming drug resistance toward precision oncology.
  Breast cancer continues to be one of the most common causes of cancer death across the globe due to molecular heterogeneity, high rate of recurrence, and growing prevalence of resistance against conventional treatments. Despite the positive contribution of che…
  pubmed Shadab A, Haider MF, Abohassan M 2026 Jul 28 置信度 0.82
• Predicting which colorectal cancer patients are most likely to improve their functional capacity with pre-surgery prehabilitation: a retrospective study based on the 6-min walk distance.
  Prehabilitation prior to colorectal cancer (CRC) surgery aims to improve functional capacity and postoperative outcomes, although results remain inconsistent due to variable programs. This study aimed to develop a predictive model for improvement in functional…
  pubmed de Klerk M, van der Linden MJW, Kerckhoffs APM, Meijboom BR 等 2026 Jul 27 置信度 0.82
• Hematology-Oncology Fellows' Use of Artificial Intelligence: A Multicenter Educational Practice and Needs Assessment Survey.
  Artificial Intelligence (AI) is rapidly being incorporated within healthcare, including medical education. Hematology-oncology (HO) is a complex field and AI is of great value in education and practice. We explored HO fellow's confidence and concerns with use …
  pubmed Marshall AL, Godby RC, Braunstein M, Kim SY 等 2026 Jul 28 置信度 0.82
• Toward generalizable and interpretable AI in regulatory genomics.
  Deciphering how DNA sequence encodes gene regulation remains a central challenge in biology. Advances in machine learning and functional genomics have enabled sequence-to-function (seq2func) models that predict molecular regulatory readouts directly from DNA s…
  pubmed Nagai M, Murphy AE, Rizzo K, Koo PK 2026 Aug 置信度 0.82
• Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques.
  Sepsis is one of the most deadly illnesses with a high risk of mortality. Consequently, identifying it at the beginning of illness symptoms is crucial and plays a key role in improving patient outcomes. This study presents a customized solution for the early d…
  pubmed Mahmoud A, Abdelmoreed H, Amir H, Ehab M 等 2026 Jul 27 置信度 0.82
• Driving the future of proteome-based innovations: the π-HuB project.
  π-HuB is an international consortium that aims to reframe proteomics from a catalog of proteins into a navigator of biological transitions. By integrating proteomic data, AI, standards, governance, and international infrastructure, it could accelerate di…
  pubmed Goh WWB, Chang C, Peng H, Xie L 等 2026 Jul 27 置信度 0.82
• Emerging Technologies in Oncology Nursing: Integrating Informatics Competencies to Advance Safe, High-Quality, and Compassionate Care.
  To describe the rapid evolution of emerging digital technologies in oncology nursing and clarify the essential informatics competencies required by oncology nurses to advance safe, high-quality, and compassionate care across the cancer continuum.
  pubmed Connor M, Kagan O 2026 Jul 27 置信度 0.82
• Machine learning prediction of complications after surgery in cirrhotic patients: Integrating nutritional risk with liver function.
  Liver disease is among the most common medical conditions in the world, leading to high rates of morbidity and death. Early identification of liver diseases enables prompt care, which may prevent many conditions from progressing to more serious stages, like ci…
  pubmed Yao Y, Chen X, Wei Z 2026 Aug 置信度 0.82
• Tumour cell density quantified by artificial intelligence is associated with differential benefit from irinotecan-based chemo-radiotherapy in locally advanced rectal cancer: a post-hoc study of the phase 3 ARISTOTLE trial.
  Tumour cells and tumour-associated stroma are key components of the tumour microenvironment, and their interaction impacts disease progression and treatment resistance in rectal cancer. This study introduces a computational approach to quantify tumour cell den…
  pubmed Shen Z, Brand D, Simard M, West NP 等 2026 Aug 置信度 0.82
• Identifying subsets of patients with retroperitoneal sarcoma who benefit from radiotherapy: an Interpretable AI reanalysis of the STRASS randomised trial.
  The European Organisation for Research and Treatment of Cancer's STRASS trial, the only completed randomised study of preoperative radiotherapy in retroperitoneal sarcoma, showed no overall benefit. Its subgroup analysis has been interpreted as supporting radi…
  pubmed Bertsimas D, Margonis GA, Koulouras A, Kreis M 等 2026 Aug 置信度 0.82
• MerMED-FM: Multimodal, Multi-Disease Medical Imaging Foundation Model.
  Current artificial intelligence (AI) models for medical imaging predominantly focus on a single imaging modality and a single disease. Attempts to create multimodal and multi-disease models have resulted in inconsistent clinical accuracy. Furthermore, training…
  pubmed Zhou Y, Quek CWN, Zhou J, Wang Y 等 2026 Jul 置信度 0.82
• High FDG Uptake in the Non-cancerous Lung Predicts Immune-Related Adverse Events and Poor Prognosis in Patients with Lung Cancer Treated with Immune Checkpoint Inhibitors.
  Immune checkpoint inhibitors (ICIs) have improved survival in non-small cell lung cancer (NSCLC); however, predicting immune-related adverse events (irAEs) remains a clinical challenge. We previously showed that high 18 F-fluorodeoxyglucose ( 18 F-FDG) uptake …
  pubmed Yamazaki M, Watanabe S, Tominaga M, Yagi T 等 2026 Jul 27 置信度 0.82
• Ca(4)Nb(2)O(9): Sm(3+) Research on the Luminescent Properties of Orange Red Fluorescent Powder.
  Highly efficient and thermally stable orange-red phosphors are critical for optimizing the color quality of phosphor-converted white LEDs. Here, Ca 4-1.5x Nb 2 O 9 : xSm 3+ were fabricated via a conventional solid-state route. Structural characterization confi…
  pubmed Wu Y, Cui R, Wu X, Chen S 2026 Jul 置信度 0.82
• BMI-based prediction models for short-term and long-term mortality following coronary artery bypass grafting using the MIMIC-IV database: a retrospective cohort study.
  This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative mortality in patients undergoing coronary artery bypass grafting (CABG) and to use machine learning algorithms to assess key factors in order to …
  pubmed Mou T, Li QC, Zhou JH, Jin HJ 等 2026 Jul 27 置信度 0.82
• A smartphone-integrated isothermal amplification-based point-of-care testing platform for ultrasensitive detection of severe fever with thrombocytopenia syndrome virus.
  Severe fever with thrombocytopenia syndrome (SFTS), caused by the severe fever with thrombocytopenia syndrome virus (SFTSV), poses a serious public health threat due to its high fatality rate, and delayed diagnosis is strongly associated with disease progressi…
  pubmed Li W, Chen Y, Niu Y, Yang Y 等 2026 Oct 1 置信度 0.82
• Interference-reduced detection of 1,2-dihydroxybenzene using an acid-tolerant luminescent probe.
  Plant polyphenols, particularly flavonoids and phenolic acids containing 1,2-dihydroxybenzene structures, are bioactive compounds with health benefits, but their detection in acidic fruit matrices (pH 4-6) remains challenging. Conventional boronic acid-based p…
  pubmed Zhang X, Feng R, Zhang P, Fan Y 等 2026 Oct 1 置信度 0.82
• Optimising the breast radiotherapy planning pathway: a quality improvement project at a regional cancer centre.
  At the South West Wales Cancer Centre, breast radiotherapy accounts for 24% of the radiotherapy workload. In 2021, only 16% of patients started treatment within 14 days compared with the Welsh time-to-radiotherapy quality metric target of 80%. Delays risk poor…
  pubmed Etheridge D, Lewis RD, Aitkenhead AH, Rose CS 等 2026 Jul 27 置信度 0.82
• ImplantPlanNet: A deep learning framework for automatic implant planning from preoperative CBCT images.
  Preoperative implant planning based on cone-beam computed tomography (CBCT) images supports prosthetically driven treatment but remains time-consuming and experience-dependent. This study developed and evaluated ImplantPlanNet, an automatic initial implant pla…
  pubmed Yang J, Liu Q, Yang H, Liu Y 等 2026 Jul 27 置信度 0.82
• Genetic associations with pulmonary embolism among those with a deep vein thrombosis: the INVENT Consortium.
  Venous thromboembolism (VTE) includes deep vein thrombosis (DVT) and pulmonary embolism (PE), which often originate from DVT and can be fatal.
  pubmed Lozano-Esparza S, Shakt GE, Brody JA, Martinez-Perez A 等 2026 Jul 27 置信度 0.82
• Multimodal Artificial Intelligence in Tissue Diagnostics: Vision-Language Models and the Future of Computational Pathology.
  Vision-language models (VLMs) represent an emerging class of multimodal artificial intelligence systems that integrate visual information with natural-language understanding and generation. In computational pathology, VLMs provide a framework for aligning hist…
  pubmed Xia R, Isett B, Chen J, Parwani AV 等 2026 Jul 28 置信度 0.82
• Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection.
  Artificial intelligence (AI) has not seen the clinical uptake that might be expected from a technology that has received so much attention and investment. Coupled to neuroimaging, it is conceivable that AI algorithms can provide better performance in diagnosis…
  pubmed Arco JE, Alizadehsani R, Atzmueller M, Barakova E 等 2026 Jul 27 置信度 0.82
• Large language models in sports cardiology: Challenges, governance, and human-in-the-loop integration.
  Large language models (LLMs) are increasingly integrated into clinical artificial intelligence (AI) workflows, with emerging applications in medical documentation, information synthesis, guideline retrieval, and patient communication. Recent advances in founda…
  pubmed Palermi S, Saglietto A, D'Ascenzo F, De Ferrari GM 等 2026 Jul 27 置信度 0.82
• Comparative whole-exome sequencing of ambulatory patients and transplant recipients with idiopathic dilated cardiomyopathy.
  Idiopathic dilated cardiomyopathy (DCM) is a major cause of advanced heart failure and heart transplantation (HTx), yet the genetic correlates of progression to HTx and transplant-relevant arrhythmic phenotypes remain incompletely defined. We examined the gene…
  pubmed Lee JH, Kong J, Kim S, Kim BJ 等 2026 Jul 28 置信度 0.82
• Advancing oncology education in low-income and middle-income African settings: global insights for local action.
  Cancer incidence and mortality are rising globally, with their burden falling disproportionately on low-income and middle-income countries. Africa faces major gaps in oncology education and workforce development, limiting access to high-quality cancer care. Fo…
  pubmed Shrestha S, Onwualu Chigbo C, O'Reilly S, Grover S 等 2026 Aug 置信度 0.82
• DNA methylation profiling enables subclassification of mucinous ovarian carcinoma and distinguishes it from extraovarian mucinous metastases.
  Mucinous ovarian carcinoma (MOC) is an epithelial ovarian cancer subtype that is frequently misclassified as extraovarian mucinous metastasis (EOM) because of overlapping features. To address this diagnostic challenge, we perform genome-wide DNA methylation pr…
  pubmed Calina TG, Grafenhorst E, Schallenberg S, Möbs M 等 2026 Aug 18 置信度 0.82
• Advancing cancer detection and treatment using longitudinal routine clinical data.
  Cancer management remains fragmented across its continuum, from late-stage diagnosis and salvage therapies to non-personalized surveillance. Here, we present Oncoformer, a unified multimodal transformer model trained on the China Oncology Multimodal Prediction…
  pubmed Liu F, Wang K, Xu H, Tang C 等 2026 Jul 27 置信度 0.82
• Development trends of surface-enhanced Raman spectroscopy in clinical applications: From nanostructures to intelligent signal analysis.
  Traditional biological detection techniques often struggle to achieve high sensitivity, specificity, and non-invasiveness in complex biological samples, while laborious sample pretreatment and poor results reproducibility further limit their application in pre…
  pubmed Gu Y, Jin P, Sun X, Wu H 等 2026 Jul 18 置信度 0.82
• Environmental exposure-integrated risk stratification for adverse outcomes after acute coronary syndrome: a multi-cohort machine learning approach.
  Acute coronary syndrome (ACS) causes substantial post-discharge mortality. Ambient air pollution and meteorological conditions are associated with recurrent cardiovascular events, but existing clinical risk scores rely only on static admission parameters witho…
  pubmed Zhang M, Zhang J, Cui Y, Wang J 等 2026 Nov 1 置信度 0.82
• IGHG1⁺ plasma cells define an NF-κB-driven inflammatory program that shapes T-cell immunity and immunotherapy response in colorectal cancer.
  The efficacy of immune checkpoint blockade (ICB) in colorectal cancer (CRC) is constrained by marked heterogeneity in the tumor microenvironment (TME). Although B cells and tertiary lymphoid structures (TLS) have emerged as important determinants of anti-tumor…
  pubmed Zhang RF, Zhang WZ, Li H, Chen Y 等 2026 Jul 27 置信度 0.82
• Molecular mechanism of lead exposure induced atrial fibrillation: A systematic study based on network toxicology, machine learning, and in vivo and in vitro experiments.
  Lead is a ubiquitous environmental toxic metal. Lead exposure is closely linked to an increased risk of atrial fibrillation (AF), yet its molecular mechanism remains incompletely understood. Here, we conducted an integrated study using network toxicology, mach…
  pubmed Liang J, Qiu X, Xu L, Shao S 等 2026 Sep 1 置信度 0.82
• Performance of multimodal large language models in interpreting lateral cephalometric superimpositions: A comparative observer-performance study.
  Multimodal large language models (LLMs) can generate free-text interpretations of clinical images, but their performance on orthodontic cephalometric superimpositions is unknown. This study compared zero-shot interpretations from three LLMs with those of a sec…
  pubmed Nguyen VA, Ha TMA, Nguyen TTH 2026 Jul 27 置信度 0.82
• Mapping Machine Learning-Driven Cybersecurity Solutions in Health Care: Scoping Literature Review.
  Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 weeks; the Ascension Health breach affecting 5.6 million patients; and the Change Healthcare breach costing US $2.5 billion. C…
  pubmed Rajput K, Zuberi S, Elhajj M, Ochieng W 等 2026 Jul 27 置信度 0.82
• Developing a Histology-Based Artificial Intelligence Biomarker to Predict Adjuvant Chemotherapy Benefit in Pancreatic Cancer.
  The choice of adjuvant chemotherapy in pancreatic ductal adenocarcinoma (PDAC) is mainly guided by patients' general condition. We hypothesized that tumor morphology may predict differential treatment benefit and tested whether deep learning applied to histolo…
  pubmed Beaufils A, De Martino J, Jiang X, Blanchard T 等 2026 Jul 27 置信度 0.82
• Opportunistic Coronary Artery Calcium Screening: Time for Clinical Implementation.
  pubmed Rodriguez F, Langlotz CP 2026 Jul 28 置信度 0.82
• Translational Cardiovascular Science for the Circulation Community.
  pubmed Steinhauser ML 2026 Jul 28 置信度 0.82
• Image-based identification and DEA-based optimization modeling of antibiotic packaging using unsupervised learning techniques.
  Ensuring medication safety requires accurate identification of antibiotic packaging, especially within pharmacy automation and dispensing systems. Advanced imaging and machine learning offer novel avenues for physical package recognition.
  pubmed Sukpornsawan P, Meepradist Y, Auamnoy T, Suksawatchon U 等 2026 置信度 0.82
• Enhancing Heart Disease Prediction Through Cluster-Visualized Distributed Machine Learning Paradigms for Secure Healthcare.
  Heart disease remains one of the leading causes of mortality worldwide, creating an urgent need for accurate and scalable predictive systems that enable early diagnosis and timely clinical intervention. Traditional machine learning approaches often struggle to…
  pubmed Sujatha C, Akarapu RB 2026 Jul 7 置信度 0.82
• Validation is not enough: Longitudinal evidence of post-deployment fragility in clinical AI systems.
  Pre-deployment validation is commonly used to establish the safety and effectiveness of clinical artificial intelligence systems, but acceptable validation performance does not guarantee stable behavior after deployment into routine clinical workflows. We cond…
  pubmed Kopanitsa G 2026 Jul 置信度 0.82
• Dual-input deep learning system for microbial identification from blood agar plates.
  The morphological classification of microbial cultures and colonies requires specialized knowledge and experience; therefore, automation in this field remains limited. This study examines the feasibility of automating the identification of pathogenic microbial…
  pubmed Naito T, Takei S, Misawa S, Kuribara M 等 2026 置信度 0.82
• PAP_NER: A large-scale vietnamese administrative named entity recognition corpus and hybrid deep learning architecture.
  Named Entity Recognition (NER) is fundamental for automating administrative document processing in digital government systems. However, Vietnamese NLP research faces a critical infrastructure gap: existing datasets focus on generic information extraction (news…
  pubmed La DD, Tran TB, Du NH, Dang NH 等 2026 置信度 0.82
• Artificial intelligence for early detection of diabetic retinopathy: A vision transformer-based approach.
  Early identification of diabetic retinopathy (DR), which is a primary cause of vision impairment globally, is a crucial phasis for effective intervention and treatment. Traditional screening workflows rely on manual diagnosis by ophthalmologists, which remains…
  pubmed ElAdel A, Filali I, Zaied M 2026 置信度 0.82
• Persistence of viable opportunistic pathogens in a multi-stage natural wastewater treatment system.
  Nature-based wastewater treatment systems are increasingly implemented to support water reuse in arid regions, yet their effectiveness in removing viable culturable opportunistic pathogens remains insufficiently characterized. In this exploratory, culture-base…
  pubmed Aqel H, Farah H, Fodah R, Sannan N 等 2026 置信度 0.82
• Artificial Intelligence and the Financialization of Medical Knowledge.
  This Viewpoint discusses how artificial intelligence medical knowledge platforms could degrade over time and outlines ways in which clinicians can advocate for safeguards that preserve competition and maintain quality.
  pubmed Brender TD, Detsky AS, Yourman L 2026 Jul 27 置信度 0.82
• Estimation of pulmonary function from time-resolved dynamic chest radiography using machine learning in patients with respiratory disease.
  Pulmonary function tests (PFTs), particularly spirometry, are the reference standard for assessing airflow limitation in respiratory diseases such as chronic obstructive pulmonary disease (COPD) and interstitial pulmonary disease. However, spirometry requires …
  pubmed Shiinoki T, Yuasa Y, Hirano T, Asami-Noyama M 等 2026 Aug 置信度 0.82
• CT radiomics for noninvasive prediction of histologic differentiation in gastric cancer.
  The histological differentiation grade of gastric cancer critically influences treatment and prognosis. While CT radiomics shows promise for noninvasive prediction, its relationship with gene expression remains unclear.
  pubmed Su R, Zhang Y, Cao J, Chen F 等 2026 置信度 0.82
• Early Aspirin Discontinuation After Percutaneous Coronary Intervention in Acute Coronary Syndrome: A Systematic Review and Meta-analysis of Randomized Controlled Trials.
  To evaluate the efficacy and safety of early aspirin discontinuation followed by P2Y12 inhibitor monotherapy versus standard dual antiplatelet therapy (DAPT) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).
  pubmed Huu HP, Tran PU, Zou T, Elkhatib W 等 2026 Jul 27 置信度 0.82
• Recent progress in clinical and molecular biological research in rectal serrated lesions.
  Colorectal cancer ranks among the most common malignancies worldwide. Rectal serrated lesions represent a significant precancerous condition, accounting for approximately 30% of sporadic colorectal carcinomas. Their flat morphology and indistinct borders often…
  pubmed Zeng X, Xu Y, Liu L 2026 Jul 27 置信度 0.82
• Musculoskeletal infections in sports: imaging approach, sport-specific risk factors, and diagnostic pitfalls.
  Musculoskeletal infections are uncommon but important causes of pain, impaired performance, and delayed return to play in athletes. Athletic populations are exposed to specific predisposing factors, including repetitive microtrauma, skin abrasions, hematoma fo…
  pubmed Cantarelli Rodrigues T, Drakonaki E, de Oliveira BP, Serfaty A 2026 Jul 27 置信度 0.82
• Global evolution of adolescent idiopathic scoliosis research (1990-2025): a bibliometric and visualization analysis.
  Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity affecting adolescents, yet comprehensive analysis of global research trends remains limited. This study aims to identify research hotspots, collaboration patterns, and emerging frontiers…
  pubmed Bao X, Zhang Y, Zhang X, Zhao J 等 2026 Jul 27 置信度 0.82