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• The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative.
  The use of artificial intelligence (AI) applications is expanding rapidly. Here, we report an annual update of the AI-PEDURO (Artifical Intelligence in PEDiatric UROlogy) online repository (www.aipeduro.com), which reviews new AI models in pediatric urology, h…
  pubmed Khondker A, Ahmad I, Dhalla R, Kaushal S 等 2026 Feb 置信度 0.82
• Predicting Pathologic Response in Locally Advanced Rectal Cancer Using Inflammatory, Nutritional, and Sarcopenia-Based Markers: A Regression and AI-Based Analysis (CINR-AI Study).
  Total neoadjuvant therapy (TNT) is the standard approach for locally advanced rectal cancer (LARC), yet pathological complete response (pCR) is achieved in only a subset. Systemic inflammation, nutritional status, and sarcopenia influence outcomes, yet integra…
  pubmed Uyar GC, Başaran BN, Başkurt K, Yeşilbaş E 等 2026 Mar 置信度 0.82
• Efficacy and risks of artificial intelligence chatbots for anxiety and depression: a narrative review of recent clinical studies.
  The rapidly growing environment of artificial intelligence (AI) has accelerated interest in its potential use for improving the efficiency and efficacy of the healthcare industry. Specifically, there has been a growing interest in AI role mental healthcare for…
  pubmed Bodner R, Lim K, Schneider R, Torous J 2026 Jan 1 置信度 0.82
• Using artificial intelligence models to generate dietary recommendations for chronic kidney disease patients: A comparative cross-sectional study.
  Artificial intelligence (AI) models are increasingly being used to assist in chronic kidney disease (CKD) dietary guidance, but concerns about their accuracy remain. This study aimed to assess the performance of three AI models (ChatGPT, DeepSeek, Gemini) in a…
  pubmed Yang B, Wei W, Liu C, Huang Y 等 2025 Dec 置信度 0.82
• Surgeons' awareness, expectations, and involvement with artificial intelligence: a survey pre and post the GPT era.
  Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expectations, and involvement with AI in surgery through comparative surveys conducte…
  pubmed Arboit L, Schneider DN, Collins T, Hashimoto DA 等 2025 Dec 置信度 0.82
• Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication.
  Many treatments exist for depression, yet none are universally effective. Multivariable predictive models support personalized treatment selection.
  pubmed Lee CT, Richards D, Heinzle J, Hanlon AK 等 2025 Nov 3 置信度 0.82
• International Expert Consensus on Defining Skin of Color and Delivering Equitable Dermatologic Care.
  Dermatological practice faces significant challenges in meeting the needs of populations with skin of color (SOC). Patients with SOC face disparities, including misdiagnoses and inequitable treatment outcomes. This expert consensus sought to identify gaps in d…
  pubmed Lim HW, Zhang C, Taylor M, Dlova NC 等 2026 Jan 置信度 0.82
• Preoperative plasma ceramide profiling coupled with machine learning accurately predicts recurrence of hepatocellular carcinoma after resection.
  Accurate stratification of recurrence risk after curative resection remains a critical challenge in the management of hepatocellular carcinoma (HCC). Dysregulated ceramide (CER) metabolism has been implicated in HCC progression and relapse. This paper evaluate…
  pubmed Lei Y, Xie C, Mo X, Zhuang B 等 2025 Nov 6 置信度 0.82
• COMP promotes the progression of colorectal cancer by regulating epithelial mesenchymal transition.
  BACKGROUND: Epithelial-mesenchymal transition (EMT) plays a crucial role in the progression and metastasis of colorectal cancer (CRC). This study investigates the molecular mechanisms of EMT and its prognostic biomarkers in CRC. METHODS: Multi-omics bioinforma…
  pubmed Huang H, Wang L, Gao S, Wang H 2025 Nov 4 置信度 0.82
• Development of a machine learning model for early pulmonary tuberculosis diagnosis using blood test biomarkers.
  BACKGROUND: Tuberculosis (TB) is a major global health threat, causing 10.6 million new cases and 1.3 million deaths in 2022. Early diagnosis is crucial, but current methods are often costly and slow for resource-limited settings. This study aimed to develop a…
  pubmed Chen L, Yang C, Dong Y, Ge R 等 2025 Nov 5 置信度 0.82
• Evaluation of Approved AI-based Brain Aneurysm Detection Software in Clinical Practice: Comparison with Radiologist Assessment and Image Re-review.
  This study evaluated the performance of artificial intelligence (AI)-based brain aneurysm detection software in clinical settings, aiming to assess its utility as a supportive tool for radiologists. Metrics included sensitivity, positive predictive value (PPV)…
  pubmed Ito R, Asai R, Nakamichi R, Nakane T 等 2026 Feb 26 置信度 0.82
• Analysis of Clinicopathologic Features and Imaging Findings of TFE3-Rearranged Renal Cell Carcinoma.
  To examine the imaging features and clinicopathologic features of TFE3-rearranged renal cell carcinoma and highlight key imaging findings for clinical decision-making.
  pubmed Liu J, Wei J, Zhang Y, Han S 等 2025 Dec 置信度 0.82
• Three-dimensional Multifunctional Lung Imaging With Simultaneous Acquisition of Three-dimensional Perfusion-weighted and Ventilation-weighted Maps.
  To propose simultaneous acquisition of free-breathing, noncontrast-enhanced 3D perfusion-weighted (QW) and ventilation-weighted (VW) maps using 3D ultrashort echo-time (UTE) magnetic resonance imaging (MRI).
  pubmed Kim H, Lee HY, Lee S, Park J 等 2026 Jul 1 置信度 0.82
• Supervised machine learning-based bias risk of prognostic models for total knee or hip arthroplasty patients: A systematic review.
  As various machine learning (ML) algorithms have become more popular in orthopedic surgery, the research quality of these models requires further evaluation, and the methodological quality of the models still needs to be clarified. This study aimed to comprehe…
  pubmed Zhang H, Jiang L, Zheng J, Li C 2025 Oct 17 置信度 0.82
• Nanoparticle-based strategy in CAR-T cell immunotherapy: challenges, implications, and perspectives.
  Chimeric antigen receptor (CAR)-T cell therapy has achieved remarkable progress in treating hematologic malignancies, yet its broader application faces challenges such as manufacturing complexity, solid tumor microenvironment barriers, and immune toxicity. Nan…
  pubmed Shang D, Zhou Z, Shi R, Wang Z 等 2025 Nov 4 置信度 0.82
• Structural rather than functional brain alterations that characterize the differences between major depressive disorder and primary insomnia: a comparative meta-analysis.
  Major depressive disorder (MDD) and primary insomnia (PI) share overlapping symptoms and neurobiological features, yet they represent distinct clinical entities. Thus, identifying both shared and disorder-specific structural and functional brain alterations is…
  pubmed Du W, Tang B, Gao Z, Li X 等 2025 Nov 4 置信度 0.82
• Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in China.
  Gout is the most common inflammatory arthritis. Recurrent flares are common among hospitalised patients and contribute to substantial clinical and economic burden. However, the accurate prediction of inpatient recurrence remains challenging, particularly in in…
  pubmed Li M, Zhang H, Chen S, Zhong F 等 2025 Nov 4 置信度 0.82
• Multimodal imaging-based interpretable radiomics for differentiating brucella and tuberculosis spondylitis: a two-center study.
  Spondylitis, particularly infectious forms caused by Mycobacterium tuberculosis and Brucella species, presents significant clinical challenges due to overlapping symptoms and diagnostic difficulties. Accurate differentiation is crucial for effective treatment,…
  pubmed Yimit Y, Tuersun A, Zhang M, Huang C 等 2025 Nov 4 置信度 0.82
• Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture.
  Phenotype-driven drug discovery leverages cellular responses to guide the design of therapeutic molecules. Recent advancements in transcriptomics have provided extensive datasets describing how gene expression changes in response to various chemical stimuli, p…
  pubmed Koo B, Park BK, Kim S 2025 Nov 4 置信度 0.82
• Artificial intelligence in medical imaging: Utilization, challenges, and practitioner perceptions in Rwanda.
  Artificial intelligence (AI) holds transformative potential for medical imaging in low-resource settings like Rwanda, where shortages of imaging professionals contribute to diagnostic delays. While global research has examined AI adoption in high-income countr…
  pubmed Mukandayisenga M, Tabaro J, Chinene B, Adam A 等 2026 Jan 置信度 0.82
• Integration of deep learning and Bayesian networks for personalized tooth color prediction in dental esthetics: A study in Chinese Han population.
  The relationship between tooth color selection and individual satisfaction remains critical in dental esthetics. This study developed a hybrid approach combining deep learning with Bayesian network analysis to investigate how skin tone, age, and gender influen…
  pubmed Ruan C, Xiong J, Wang L 2026 Jun 置信度 0.82
• An explainable prognostic model after vascularized bone grafting for hip preservation based on CT radiomics combined with SHAP.
  The purpose of this study is to develop a CT radiomics-based interpretable prognostic diagnostic model for vascularized bone graft hip preservation, with the objective of predicting postoperative hip preservation outcomes. The study recruited 107 patients, col…
  pubmed Shi H, Shu P, Wang Z, Rao Y 等 2026 Mar 置信度 0.82
• Transforming peripheral nerve surgery with artificial intelligence: a review of surgical advances.
  Peripheral nerve injuries (PNIs) are challenging to manage due to complex anatomy and variable presentations. Artificial intelligence (AI) techniques are increasingly applied in medicine, and their role in PNI care is emerging. This systematic review aimed to …
  pubmed Buldu MT, Ezquerro Cortes MR, Panagiotidou A, Fox M 等 2025 Sep 置信度 0.82
• Lightweight deep training network for lymph nodes segmentation from head and neck CT images.
  Accurate lymph node (LN) segmentation is highly beneficial for diagnosing and treating head and neck diseases. However, because of the varying sizes and complex shapes of LNs from the head and neck, as well as their blurred boundaries with surrounding tissues …
  pubmed Lu F, Li XL, Jiang B, Zhang Z 等 2025 Nov 置信度 0.82
• Resampling methods for class imbalance in clinical prediction models: A scoping review protocol.
  Class imbalance-where clinically important "positive" cases make up less than 30% of the dataset-systematically reduces the sensitivity and fairness of medical prediction models. Although data-level techniques, such as random oversampling, random undersampling…
  pubmed Abdelhay O, Shatnawi A, Najadat H, Altamimi T 2025 置信度 0.82
• The Postoperative Hyperopic Shift Risk Prediction Model for Primary Angle Closure Glaucoma Patients Based on Machine Learning.
  This study developed and validated a machine learning-based risk prediction model to estimate the likelihood of postoperative hyperopic shift in patients with primary angle closure glaucoma after IOL implantation, which may help guide individualized surgical d…
  pubmed Gong D, Liu Y, Dang K, Huang Y 等 2025 Dec 1 置信度 0.82
• Autonomous extraction of preoperative radiographic predictors on X-ray for cervical spine deformity following laminoplasty: a prospectively validated AI tool.
  Approximately 21% of patients who undergo cervical laminoplasty for cervical spondylotic myelopathy (CSM) develop postoperative kyphotic deformity (KD). Radiologic parameters (RPs) on preoperative sagittal X-ray have consistently shown to be the strongest pred…
  pubmed Pettersson SD, Koc NA, Skrzypkowska P, Filo J 等 2025 Nov 3 置信度 0.82
• Estimated atrial fibrillation burden on early rhythm-control and cardiovascular events in the EAST-AFNET 4 trial.
  Atrial fibrillation (AF) is currently diagnosed by ECG, creating a binary, lifelong diagnosis. AF burden, estimated as the proportion of time spent in AF, quantifies AF severity dynamically. AF burden can modulate the risk of AF-related outcomes. Whether AF bu…
  pubmed Zeemering S, Borof K, Schotten U, Obergassel J 等 2025 Oct 置信度 0.82
• Personalized insights into urinary tract infection management: A text mining analysis of online consultation data.
  Urinary tract infections (UTIs) frequently affect individuals of all ages, necessitating antibiotic treatment and medical care, which can impair quality of life and cause psychological strain. Online Health Consultation (OHC) platforms serve as a widely used c…
  pubmed Tang R, Zhu P, Yan R, Zhou Y 等 2025 Jan-Dec 置信度 0.82
• AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis.
  To map global research on AI-driven histopathological image interpretation in oncology (2000-2024).
  pubmed Sweileh MW 2025 Jan-Dec 置信度 0.82
• ChatGPT in general surgery: a cross-sectional study assessing its response to patient questions.
  The artificial intelligence-based large language model ChatGPT (OpenAI, San Francisco/CA, USA) has taken human-machine interaction to the next level since its launch in November 2022. As a program that mimics human conversations over a text-based communication…
  pubmed Lünse S, Wisotzky EL, Höhn J, Paasch C 等 2025 Nov 置信度 0.82
• Using responsive evaluation to shape research: Engaging and collaborating with stakeholders in the international symposium on multimorbidity.
  Multimorbidity (MM) is a growing global public health issue requiring interdisciplinary collaboration among researchers, healthcare professionals, policymakers, and patients. The third International Symposium on Multimorbidity, held in May 2024 in Bielefeld, G…
  pubmed Grede N, Muth C, Hanf M, Calderón-Larrañaga A 等 2025 Jan-Dec 置信度 0.82
• Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches.
  Cine cardiovascular magnetic resonance (CMR) faces the challenges of prolonged examination times and repeated breathhold (BH). This study evaluated the clinical feasibility of deep learning (DL)-accelerated cine sequences, which shorten the acquisition time (A…
  pubmed Kong H, Wang Z, Zhou Z, Yu D 等 2025 Winter 置信度 0.82
• Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.
  To assess treatment response in osteosarcoma, two automated convolutional neural networks (CNNs) were developed to quantify tumour volumes and predict response to induction chemotherapy using histopathology as the reference standard.
  pubmed von Krüchten R, Barrow M, Adams L, Singh SB 等 2026 Apr 置信度 0.82
• Systematic review of a machine learning model for prediction of venous thromboembolism risk.
  This systematic review aims to evaluate the methodological quality, performance, and clinical applicability of machine learning (ML) models for predicting the risk of venous thromboembolism (VTE) in hospitalized patients. Specifically, we aim to assess the met…
  pubmed Ge WJ, Zhu TF, Ge WJ, Zhu XY 等 2025 Dec 置信度 0.82
• Combination of artificial intelligence and chest computed tomography to assess bone mineral density.
  To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic chest CT for osteoporosis/osteopenia screening in a Chinese population.
  pubmed Wei L, Qiu Y, Lin W, Lin J 等 2026 Mar 置信度 0.82
• Development of self-phenotyping tools to empower patients and improve diagnostics.
  Deep phenotyping is important for rare disease diagnostics, often using the Human Phenotype Ontology (HPO). Patients are an under-utilised source; to facilitate self-phenotyping we previously "translated" HPO into plain language. However, self-reported data ha…
  pubmed Shefchek K, Ziniel SI, McMurry JA, Brownstein CA 等 2025 Nov 置信度 0.82
• A qualitative study on the perspectives of doctors, nurses and residents about artificial intelligence and its application in healthcare: Implications to education.
  This study aimed to describe the perspectives of doctors, nurses and residents toward healthcare artificial intelligence (AI) and its integration in healthcare settings in Kazakhstan.
  pubmed Zhaksylykova D, Tursynbek A, Nadirbekova G, Cruz JP 等 2025 Nov 置信度 0.82
• Digital Health Technology Compliance With Clinical Safety Standards In the National Health Service in England: National Cross-Sectional Study.
  To be authorized for use in the National Health Service (NHS) in England, digital health technologies (DHTs) must meet 2 mandatory clinical risk management standards, Data Coordination Board (DCB) 0129 and 0160, demonstrating that risks from design and use hav…
  pubmed Oskrochi Y, Roy-Highley E, Grimes K, Shah S 2025 Oct 31 置信度 0.82
• Multimodal pathomics and clinical features predict postresection permanent hydrocephalus in pediatric medulloblastoma.
  Predicting postoperative persistent hydrocephalus risk in pediatric medulloblastoma remains challenging using conventional clinical features. We investigated whether deep learning (DL) of pathomic features could improve postoperative hydrocephalus risk stratif…
  pubmed Zhong W, Li Z, Lv S, Chen G 等 2025 Oct 31 置信度 0.82
• Machine learning-based development of a cytotoxicity prediction model for NK cell therapy in cancers.
  Natural killer (NK) cells mediate anti-tumor immunity through integrated signaling of inhibitory and activating receptors. The efficacy of NK cell adoptive transfer therapy varies among patients due to heterogeneous receptor-ligand expression. This study aimed…
  pubmed Ma J, Yue J, Li Y, Li Y 等 2025 Dec 置信度 0.82
• Assessment of a Grad-CAM interpretable deep learning model for HAPE diagnosis: performance and pitfalls in severity stratification from chest radiographs.
  To investigate the feasibility of a deep learning model, using a transfer learning approach, for recognizing high-altitude pulmonary edema (HAPE) on chest X-ray images and exploring its capability for assessing severity.
  pubmed Yang Y, Yu H, Xiang Q, Wu J 等 2025 Oct 30 置信度 0.82
• Predictive value of systemic inflammation response index for atherosclerotic cardiovascular disease risk in patients with hypercholesterolemia: a machine learning study with dual-cohort validation.
  Residual cardiovascular risk persists in patients with hypercholesterolemia despite lipid-lowering therapy, underscoring the importance of inflammation in ASCVD development. This study evaluated the relationship between Systemic Inflammation Response Index (SI…
  pubmed Chen Y, Huang W, Zhao S, Ge Z 等 2025 Oct 30 置信度 0.82
• Non-Hodgkin's lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology.
  To apply quantitative imaging analysis for noninvasive classification of the most frequent subtypes of Non-Hodgkin Lymphoma (NHL) as a basis for a clinical imaging genomic model to support therapeutic monitoring and clinical decision making.
  pubmed Lisson CG, Götz M, Wolf D, Manoj S 等 2025 Oct 30 置信度 0.82
• Trends analysis and future study of medical and pharmacy education: a scoping review.
  This scoping review aims to provide a comprehensive analysis of emerging trends and future developments in medical and pharmacy education, addressing the need to adapt educational approaches to the rapidly evolving healthcare landscape.
  pubmed Bashirynejad M, Soleymani F, Nikfar S, Zackery A 等 2025 Oct 30 置信度 0.82
• Comparative Risk for Neuropsychiatric Events in Leukotriene Receptor Antagonist vs. Inhaled Corticosteroid in Children With Asthma: A Nationwide Observational Study With a Complementary Analysis Using Natural Language Processing.
  Leukotriene receptor antagonists (LTRAs) are widely prescribed as controller medications for pediatric asthma. However, there have been increasing concerns about potential neuropsychiatric adverse reactions associated with LTRAs. Findings from observational st…
  pubmed Kim S, Han CH, Chang J, Cho J 等 2025 Nov 置信度 0.82
• Diagnostic assistance method for RR-TB/MDR-TB patients under treatment based on CNN-LSTM.
  The rapid development of deep learning has promoted its application in disease diagnosis, treatment, and prognosis prediction. Medical imaging plays a crucial role in the management of rifampicin-resistant tuberculosis/multidrug-resistant tuberculosis (RR-TB/M…
  pubmed Li J, Wu W, Fang Z, Fu P 等 2025 Oct 30 置信度 0.82
• [Real-time or dynamic non-invasive liver fibrosis testing for evaluating clinical prognoses and predicting chronic liver disease].
  Liver fibrosis is a key histologic marker of long-term outcome in chronic liver disease. Non-invasive tests (NITs) have been shown to have predictive value, but the superiority of "dynamic" versus "static" assessment remains controversial. This article systema…
  pubmed Zhao XY, Sun YM, Gao YK, Lu ZZ 等 2025 Oct 20 置信度 0.82
• Physician Perspectives on Large Language Models in Health Care: A Cross-Sectional Survey Study.
  This study aims to evaluate physicians' practices and perspectives regarding large language models (LLMs) in health care settings.A cross-sectional survey study was conducted between May and July 2024, comparing physician perspectives at two major academic med…
  pubmed Hong HJ, Shah NH, Pfeffer MA, Lehmann LS 2025 Oct 置信度 0.82
• Artificial Intelligence-Assisted Image Extraction in Neonatal Echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development.
  Sub-Saharan Africa (SSA) bears the highest global burden of under-5 mortality, with congenital heart disease (CHD) as a major contributor. Despite advancements in high-income countries, CHD-related mortality in SSA remains largely unchanged due to limited diag…
  pubmed Leke AZ, Sop Deffo LL, Wirsiy YS, Aldersley T 等 2025 Oct 30 置信度 0.82
• Patritumab deruxtecan (HER3-DXd) in patients with active brain metastases of breast cancer (TUXEDO-3): a multicentre, single-arm, phase 2 trial.
  Patritumab deruxtecan (HER3-DXd) is a novel antibody-drug conjugate targeting HER3, which is overexpressed in CNS metastases of metastatic breast cancer. We aimed to evaluate the activity and safety of HER3-DXd in patients with metastatic breast cancer and bra…
  pubmed Bartsch R, Marhold M, Garde-Noguera J, Gion M 等 2025 Nov 置信度 0.82
• Patritumab deruxtecan (HER3-DXd) in patients with active brain metastases of non-small-cell lung cancer (TUXEDO-3): a multicentre, single-arm, phase 2 trial.
  Patritumab deruxtecan (HER3-DXd) is a novel antibody-drug conjugate targeting HER3, which is overexpressed in CNS metastases of advanced non-small-cell lung cancer (NSCLC). We aimed to evaluate the activity and safety of HER3-DXd in patients with advanced NSCL…
  pubmed Fuereder T, Garde-Noguera J, García-Mosquera JJ, Ruiz-Borrego M 等 2025 Nov 置信度 0.82
• Balancing Innovation and Control: The European Union AI Act in an Era of Global Uncertainty.
  The European Union's Artificial Intelligence Act (EU AI Act), adopted in 2024, establishes a landmark regulatory framework for artificial intelligence (AI) systems, with significant implications for health care. The Act classifies medical AI as "high-risk," im…
  pubmed Bignami EG, Russo M, Semeraro F, Bellini V 2025 Oct 30 置信度 0.82
• Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology.
  Precision oncology is becoming increasingly integral to clinical practice, demonstrating notable improvements in treatment outcomes. Whereas molecular data provide comprehensive insights, obtaining such data remains costly and time-consuming. In this study, we…
  pubmed Hoang DT, Shulman ED, Dhruba SR, Nair NU 等 2025 Dec 15 置信度 0.82
• Describing the Performance and the Infrastructure Requirements of the Existing Artificial Intelligence (AI)-Based Diabetic Retinopathy (DR) Screening Algorithms for Diabetic Patients: an Umbrella Review.
  AI-based diabetic retinopathy (DR) screening algorithms have been evaluated in many countries and have shown promise in expanding access to screening, especially in low- and middle-income countries (LMICs). However, the literature lacks guidance on which algor…
  pubmed Kabunga R, Asasira J, Njuki S, Daniel A 等 2025 Oct 30 置信度 0.82
• [Assessing the accuracy and comprehensiveness of large language models in responding to patient inquiries on placenta accreta spectrum].
  Objective: To explore the accuracy and comprehensiveness of responses from four large language models [ChatGPT-3.5 (Model A), ChatGPT-4.0 (Model B), ChatGPT-4o (Model D) developed by OpenAI in the United States, and a domestically developed Obstetric artificia…
  pubmed He YX, Chen DJ, Hu M, Zhang YL 等 2025 Nov 4 置信度 0.82
• Non-invasive Prediction of Lung Cancer Histological Differentiation via Radiomics and Multi-binary Classification Models.
  The histological differentiation of Non-Small Cell Lung Cancer (NSCLC) is a critical prognostic factor that influences therapeutic strategies and patient outcomes. However, conventional assessment methods relying on postoperative pathology or biopsy are invasi…
  pubmed Jiang H, Zhu B, Xia L, Han Y 2026 置信度 0.82
• The effects of combining anodal transcranial direct current stimulation with robot-assisted gait training on lower limb motor function and the motor cortex regulation of stroke patients.
  The therapeutic effect and underlying mechanism of combining transcranial direct current stimulation (tDCS) with robot-assisted gait training (RAGT) for stroke patients remain unclear.
  pubmed Zhang Y, Zhang Y, Zheng B, Chen S 等 2025 Oct 29 置信度 0.82
• Factors affecting survival in patients with colorectal cancer: an umbrella review.
  This study aimed to evaluate the strength and validity of the evidence for reported associations between multiple factors and colorectal cancer (CRC) survival.
  pubmed Yu L, Yuan J, Lou S, Huang A 等 2025 Oct 29 置信度 0.82
• Radiomics application using non-contrast computed tomography for predicting uric acid kidney stones.
  This study aims to develop a prediction model based on non-contrast computed tomography (NCCT) images to differentiate uric acid stones from non-uric acid stones before treatment.
  pubmed Huang Y, Li N, Han X, Xu S 等 2025 Oct 29 置信度 0.82
• Alterations of Raman Profiles of Cystic Echinococcosis Serum After Treated With ABZ by SERS.
  Cystic echinococcosis (CE) is often treated with albendazole (ABZ). Surface-enhanced Raman scattering (SERS) has high sensitivity and specificity, as well as low sample consumption, but its ability to identify changes in serum compounds post-ABZ treatment is u…
  pubmed Fang Z, Xu S, Xu S, Zhou R 等 2026 Feb 置信度 0.82
• Machine learning-based tool to assess risk of hemodynamically significant PDA in extremely premature infants.
  A patent ductus arteriosus (PDA) is associated with complications in extremely preterm infants and its assessment requires trained personnel and equipment not always available. A prediction tool might guide the urgency and clinical decision making to allocate …
  pubmed Küng E, Göral K, Unterasinger L, Schilhart-Wallisch C 等 2026 Jul 置信度 0.82
• Factors influencing the intention to use telemedicine services among older adults in China.
  The rapid growth of the older adult population has brought significant challenges to the medical industry. Problems such as uneven distribution of medical resources, low medical efficiency, and lack of post-hospital care have become prominent. Many hospitals i…
  pubmed He H, Raja Ghazilla RA, Abdul-Rashid SH 2025 Oct 29 置信度 0.82
• Burden of cardiovascular diseases in England (2020-24): a national cohort using electronic health records data.
  The COVID-19 pandemic led to substantial health services disruption in England. Health-care policy makers need reliable national-level information on disease burden to plan services. Whole-population individual-level data, which are routinely collected and lin…
  pubmed Allara E, Shi W, Bolton T, Chalmers F 等 2025 Nov 置信度 0.82
• Detecting Laterality Errors in Combined Radiographic Studies by Enhancing the Traditional Approach With GPT-4o: Algorithm Development and Multisite Internal Validation.
  Laterality errors in radiology reports can endanger patient safety. Effective methods for screening for laterality errors in combined radiographic reports, which combine multiple studies into one, remain unexplored.
  pubmed Weng KH, Chou YC, Kuo YT, Hsieh TJ 等 2025 Oct 29 置信度 0.82
• Large language model chatbots for patient education in kidney stones: a scoping review.
  In 2024, 17% of adults reported using an artificial intelligence (AI) chatbot at least once a month as a source of health information, rising to 25% among those under 30. We aim to conduct a scoping review of the existing literature assessing the performance o…
  pubmed Goudrar R, Zekraoui O, Moussa I, Nguyen DD 等 2025 Oct 29 置信度 0.82
• Exploring unsupervised learning techniques for early detection of myocardial ischemia in type 2 diabetes.
  Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied a clustering approach to identify the variability in myocardial ischemia …
  pubmed Liu B, Hou YJ, Wu P, Han X 等 2025 置信度 0.82
• Artificial intelligence-driven transformative applications in disease diagnosis technology.
  The integration of artificial intelligence (AI) in medical diagnostics represents a transformative advancement in healthcare, with projected market growth reaching $188 billion by 2030. This comprehensive review examines the latest developments in AI-dr…
  pubmed Zhou J, Park S, Dong S, Tang X 等 2025 Oct 置信度 0.82
• AI-Enabled ECG Analysis Improves Diagnostic Accuracy and Reduces False STEMI Activations: A Multicenter U.S. Registry.
  Timely reperfusion is critical in reducing mortality in ST-segment elevation myocardial infarction (STEMI). Although electrocardiography-guided cardiac catheterization laboratory (CCL) activation on the basis of first medical contact recognition improves syste…
  pubmed Herman R, Mumma BE, Hoyne JD, Cooper BL 等 2026 Jan 26 置信度 0.82
• A Comprehensive Survey on Intrusion Detection Systems for Healthcare 5.0: Concepts, Challenges, and Practical Applications.
  Healthcare 5.0 represents the next evolution in intelligent and interconnected healthcare systems, leveraging emerging technologies such as Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) to enhance patient care and automation. While Int…
  pubmed Siqueira LP, Batista CL, Lui PH, Kazienko JF 等 2025 Oct 10 置信度 0.82
• AI-Assisted Simple Scoring Algorithm Was Helpful in the Risk Assessment of Cardiac Involvement in Patients with Pulmonary Sarcoidosis.
  Background: Cardiac involvement, one of the most life-threatening complications of sarcoidosis, remains under-recognized due to its oligo-symptomatic presentation in some patients. This retrospective study aimed to evaluate the utility of various clinical pred…
  pubmed Dybowska M, Tomkowski WZ, Lewandowska KB, Piotrowska-Kownacka D 等 2025 Oct 15 置信度 0.82
• Enhancing Local Functional Structure Features to Improve Drug-Target Interaction Prediction.
  Molecular simulation is central to modern drug discovery but is often limited by high computational cost and the complexity of molecular interactions. Deep-learning drug-target interaction (DTI) prediction can accelerate screening; however, many models underus…
  pubmed Feng B, Du H, Tong HHY, Wang X 等 2025 Oct 20 置信度 0.82
• MAMGN-HTI: A Graph Neural Network Model with Metapath and Attention Mechanisms for Hyperthyroidism Herb-Target Interaction Prediction.
  The accurate prediction of herb-target interactions is essential for the modernization of traditional Chinese medicine (TCM) and the advancement of drug discovery. Nonetheless, the inherent complexity of herbal compositions and diversity of molecular targets r…
  pubmed Zhou Y, Yang X, Lv R, Lang X 等 2025 Oct 5 置信度 0.82
• Artificial Intelligence for Risk-Benefit Assessment in Hepatopancreatobiliary Oncologic Surgery: A Systematic Review of Current Applications and Future Directions on Behalf of TROGSS-The Robotic Global Surgical Society.
  Background: Hepatopancreatobiliary (HPB) surgery is among the most complex domains in oncologic care, where decisions entail significant risk-benefit considerations. Artificial intelligence (AI) has emerged as a promising tool for improving individualized deci…
  pubmed Goyal A, Koutentakis M, Park J, Macias CA 等 2025 Oct 11 置信度 0.82
• Healthcare 5.0-Driven Clinical Intelligence: The Learn-Predict-Monitor-Detect-Correct Framework for Systematic Artificial Intelligence Integration in Critical Care.
  Background: Healthcare 5.0 represents a shift toward intelligent, human-centric care systems. Intensive care units generate vast amounts of data that require real-time decisions, but current decision support systems lack comprehensive frameworks for safe integ…
  pubmed Boussi Rahmouni H, Hassine NBEH, Chouchen M, Ceylan Hİ 等 2025 Oct 10 置信度 0.82
• Artificial Intelligence-Powered Chronic Obstructive Pulmonary Disease Detection Techniques-A Review.
  Chronic obstructive pulmonary disease (COPD) is a progressive respiratory condition, contributing significantly to global morbidity and mortality. Traditional diagnostic tools are effective in diagnosing COPD. However, these tools demand specialized equipment …
  pubmed Sait ARW, Shaikh MA, Abdul Rahaman Wahab Sait, Mujeeb Ahmed Shaikh 2025 Oct 11 置信度 0.82 Generalizability theoryInterpretabilityCOPDMedicinePulmonary disease
• Beyond Pathology: A Procedure-Based Approach to Planning and Predicting Outcomes in Robotic Gynaecological Oncology Surgery.
  Current surgical planning in robotic gynaecology relies heavily on pathological diagnosis, yet operating theatre utilisation may depend more on procedural requirements. Recent advances in machine learning-based surgical prediction have highlighted the need for…
  pubmed Abdelaziz MAM, Olaleye A, Sabrah K, Mohamed A 等 2025 Oct 28 置信度 0.82
• Performance of Natural Language Processing Model in Extracting Information from Free-Text Radiology Reports: A Systematic Review and Meta-Analysis.
  The free-text format is widely used in radiology reports for its flexibility of expression; however, its unstructured nature leads to substantial amounts of report data remaining underutilized. A natural language processing (NLP) model for automatic extraction…
  pubmed Yang Q, Jiang J, Dong X, Yang H 等 2026 Aug 置信度 0.82
• International expert consensus-driven surgical process model for robot-assisted hysterectomy: Delphi study results.
  Despite the widespread use of robot-assisted total laparoscopic hysterectomy (rTLH), there is still significant variability in how the procedure is performed, leading to inconsistencies in surgical outcomes and challenges in training. While existing curricula …
  pubmed Nyangoh Timoh K, Galuret S, Hébert T, Azaïs H 等 2026 Jan 置信度 0.82
• Customized Education Sheets Generated by ChatGPT Improve Parental Visit Satisfaction and Procedural Knowledge Prior to Pediatric Cardiac Catheterization.
  Written educational materials have been found to be effective in the delivery of pre-operative information. However, creating personalized educational materials using large-language models (LLM) such as GPT-4 tailored to parental educational level has not yet …
  pubmed Pradhan S, McCormick K, Mertens L, Pradhan F 2025 Oct 28 置信度 0.82
• Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review.
  This scoping review explores the application of artificial intelligence (AI) methods for analyzing mesenchymal stem cells (MSCs) images. The aim of this study was to identify key areas where AI-based image processing techniques are utilized for MSCs analysis, …
  pubmed Solopov M, Chechekhina E, Turchin V, Popandopulo A 等 2025 Oct 18 置信度 0.82
• Artificial Intelligence in Prostate MRI: Current Evidence and Clinical Translation Challenges-A Narrative Review.
  Despite rapid proliferation of AI applications in prostate MRI showing impressive technical performance, clinical adoption remains limited. We conducted a comprehensive narrative review of literature from January 2018 to December 2024, examining AI application…
  pubmed Bolocan VO, Mitoi A, Nicu-Canareica O, Băean ML 等 2025 Sep 26 置信度 0.82
• 'Looking Back and Looking Forward'-Insights into the 20th European Doctoral Conference in Nursing Science (EDCNS).
  Background : The European Doctoral Conference in Nursing Science provides a unique platform for doctoral students in nursing and health sciences to present their research in a supportive environment. Celebrating its 20th anniversary, the 2024 conference embrac…
  pubmed Lampersberger LM, Osmancevic S, Pichler E, Lucien B 等 2025 Sep 26 置信度 0.82
• Deep Learning-Based 30-Day Mortality Prediction in Critically Ill Bone and Bone Marrow Metastasis Patients: A Multicenter Retrospective Cohort Study.
  Bone and bone marrow Metastasis (BBM) are life-threatening complications of advanced malignancies, frequently requiring intensive care and associated with high short-term mortality. However, prognostic tools specifically tailored to critically ill BBM patients…
  pubmed Wang Y, Xia L, Tang Y, Li W 等 2025 Sep 24 置信度 0.82
• Digital Twin Cognition: AI-Biomarker Integration in Biomimetic Neuropsychology.
  (1) Background: The convergence of digital twin technology, artificial intelligence, and multimodal biomarkers heralds a transformative era in neuropsychological assessment and intervention. Digital twin cognition represents an emerging paradigm that creates d…
  pubmed Gkintoni E, Halkiopoulos C 2025 Sep 23 置信度 0.82
• A bibliometric and critical trend analysis of the anti-cancer potential of Withania somnifera during 2000-2024.
  Cancer remains among the most common causes of mortality and morbidity globally. For millennia, people have utilized herbal medicine for the treatment of various illnesses, including cancer. Multiple research investigations have demonstrated that Withania somn…
  pubmed Hingorani L, Karmakar M, Mukherjee S, Modi SJ 等 2026 Feb 置信度 0.82
• Exploring an LLM's Use in Supporting Journal Club Preparation and Discussion Among Residents.
  Journal clubs (JCs) play an important role in medical education by promoting critical appraisal and evidence-based practice. However, residents often face barriers to effective participation. Some of the issues that are commonly faced include limited time and …
  pubmed Umer F, Mansoor A, Naseem A, Kazmi SMR 2026 Jul 置信度 0.82
• CSF1R and macrophage infiltration: Integrated magnetic resonance imaging radiomics and deep learning-driven models for the preoperative assessment of glioma.
  Colony-stimulating factor-1 receptor (CSF1R) signaling is crucial for the ability of tumor-associated macrophages (TAMs) to establish an immunosuppressive tumor microenvironment (TME), highlighting the potential of CSF1R signaling as a therapeutic target. Noni…
  pubmed Fan X, Yuan C, Tao J, Tu J 等 2026 Jun 20 置信度 0.82
• Academic misconduct and artificial intelligence use by medical students, interns and PhD students in Ukraine: a cross-sectional study.
  The issues regarding the use of artificial intelligence (AI) and academic integrity are important contemporary topics. There are no clear regulations governing the use of AI in academic institutions in Ukraine. This study aimed to explore the perceptions of me…
  pubmed Lymar L, Kuchyn I, Bielka K, Puljak L 2025 Oct 27 置信度 0.82
• Application of artificial intelligence in head and neck tumor segmentation: a comparative systematic review and meta-analysis between PET and PET/CT modalities.
  For the effective treatment planning of head and neck cancers, precise tumor segmentation is vital. The combination of artificial intelligence (AI) technology with imaging systems like positron emission tomography (PET) and PET/ computed tomography (PET/CT) ha…
  pubmed Hajimokhtari H, Soleymanpourshamsi T, Rostamian L, Yousefbeigi A 等 2025 Oct 27 置信度 0.82
• The effect of kinesiophobia and successful aging on quality of life in older adults: machine learning approach.
  Kinesiophobia and successful aging are key factors affecting quality of life in older adults; kinesiophobia, the fear of movement, can lead to reduced physical activity, while successful aging promotes overall well-being.
  pubmed Aydin MA, Yildirim N, Kizilarslan V, Emrem M 等 2025 Oct 27 置信度 0.82
• CoSpine open access simultaneous cortico-spinal fMRI database of thermal pain and motor tasks.
  Simultaneous cortico-spinal functional magnetic resonance imaging (fMRI) enables non-invasive investigation of integrated central nervous system function, but acquisition challenges have restricted the availability of public datasets and slowed the development…
  pubmed Wei Z, Lin X, Zhang L, Guo L 等 2025 Oct 27 置信度 0.82
• Evaluating Large Language Models in Ophthalmology: Systematic Review.
  Large language models (LLMs) have the potential to revolutionize ophthalmic care, but their evaluation practice remains fragmented. A systematic assessment is crucial to identify gaps and guide future evaluation practices and clinical integration.
  pubmed Zhang Z, Zhang H, Pan Z, Bi Z 等 2025 Oct 27 置信度 0.82
• Development of an Explainable Machine Learning Model to Predict Mortality Risk in Sepsis Patients: Insights From a Real-World Clinical Data.
  Sepsis is a life-threatening dysregulated host response to infection; early risk stratification is essential to guide intensive care.
  pubmed Hu X, Gu X, Jin Y, Liang F 等 2026 Sep 1 置信度 0.82
• Neglected brucellosis in pediatric populations from non-endemic regions: Clinical manifestations and prediction of severe disease in Yunnan Province, China.
  Although Yunnan Province is not an endemic region for brucellosis, the disease remains a diagnostic and therapeutic challenge in children due to its atypical clinical manifestations and potential for severe complications.
  pubmed Ma X, Cui P, Chen H, Guo Y 等 2025 Oct 置信度 0.82
• An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial.
  Prediabetes is common, yet evidence-based lifestyle interventions are underutilized.
  pubmed Mathioudakis N, Lalani B, Abusamaan MS, Alderfer M 等 2025 Dec 16 置信度 0.82
• Explainable opportunistic osteoporosis screening from chest X-rays: a retrospective comparison of foundation models.
  We evaluated foundation models for opportunistic osteoporosis screening from chest X-rays using a novel explainability framework. DINOv2 with low-rank adaptation achieved the best performance (AUC 0.93) while demonstrating clear clinical reasoning. Our finding…
  pubmed Kim J, Kwak S, Lee H, Chang J 等 2026 Jan 置信度 0.82
• Artificial Intelligence Use in Academic Applicant Screening: A Systematic Review.
  Escalating application volumes challenge holistic admissions review; artificial intelligence (AI) offers potential screening efficiencies. This systematic review examined AI algorithm use in academic admissions, categorizing types and evaluating objectives, pe…
  pubmed Jiang T, Er S, Heron MJ, Zhu KJ 等 2025 Oct 置信度 0.82
• Ambient AI-assited clinical documentation in surgical outpatient care: a preliminary study of usability, workflow, and patient experience.
  Ambient artificial intelligence (AI) scribes offer promise for reducing documentation burden, yet their effects on surgical practice have not been well defined. We conducted a pilot study of an ambient AI scribe across 79 ambulatory providers (three surgeons) …
  pubmed Harvey CJ, Wong V, Huynh W, Lee JP 等 2025 置信度 0.82
• Swept-Source OCT Angiography Features of Melanotic Choroidal Tumors: An Analysis of 102 Consecutive Cases.
  To quantitatively analyze swept-source OCT angiography (SS-OCTA) features of choroidal melanoma and nevi, focusing on their distinguishing angiographic features.
  pubmed Zhang R, Wu H, Li Y, Zhou W 等 2026 Jan 置信度 0.82