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• A Noise-Score-Based Cleaning Framework for Multi-Class Label Noise
  In machine learning, the objective of training a classification model is to learn the mapping relationship between features and labels. Label noise data has a severe detrimental effect on model performance, often surpassing the impact of feature noise. Consequ…
  crossref Pengfei Fu, Xiaofeng Liu, Mingyu Feng 2026-03-05T15:52:23Z 置信度 0.70
• Synthetic data
  crossref Tshilidzi Marwala 2026-02-20T10:57:30Z 置信度 0.70
• Revolutionizing Ophthalmology
  crossref Alejandro Espaillat 2026-04-22T22:45:38Z 置信度 0.70
• Applications of artificial intelligence in healthcare
  Artificial intelligence (AI) in the healthcare domain serves as a transformative analytical engine, deciphering the intricate connections between clinical data and patient outcomes to deliver pioneering solutions that elevate the standard of medical care. AI p…
  crossref Rashmi Rameshwari, Naina Soni, Devendra Kumar Verma, Santosh Kumar 2026-02-02T14:23:57Z 置信度 0.70
• Artificial Intelligence for Simulation and Neurosurgical Training
  This chapter explores the evolution and impact of artificial intelligence (AI) in enhancing neurosurgical education and skill development. Traditional neurosurgical training methods, including dissections on biological and synthetic models, are limited in the …
  crossref Andre A. Payman, Roberto Rodriguez Rubio 2026-08-28T13:03:11Z 置信度 0.70
• Automated Modeling from Medical Guidelines to BPMN Based on Large Language Models
  Medical guideline texts are characterized by strong domain specificity, complex conditional logic, and implicit semantics, which make their automatic transformation into executable process models highly challenging.To address this problem, we reformulate the t…
  crossref Feng Gao, Jian Chen, Yinghui Jin, Siyuan Ruan 2026-05-18T19:44:47Z 置信度 0.70
• Artificial intelligence in medical education: a feasibility case study based on proceedings from a patient care teaching conference
  Background Artificial intelligence (AI) is transforming clinical practice, but its role in medical education remains underdeveloped. Patient care teaching conferences are rich in reasoning and literature appraisal, yet their educational value is rarely formali…
  crossref Ahmad Sweid, Issam A. Awad 2026-06-06T04:43:08Z 置信度 0.70
• Depth-based segment any leaf: A zero-shot pipeline for plant disease detection
  crossref Duygu Sinanc Terzi 2026-05-27T09:01:43Z 置信度 0.70
• College Students' Trust in Generative AI for Mental Health.
  This study aimed to examine college students' trust in generative artificial intelligence (AI) for mental health information and decisions.
  pubmed Liu CH, Yip T 2026 Jul 30 置信度 0.82
• The Unsteady Return of Bedside Motor Command-Following After Acute Brain Injury.
  Following a verbal command marks the bedside transition from unresponsiveness to overt recovery of consciousness after acute brain injury. Its timing across phenotypes, stability once present, and dependence on sedation are uncharacterized at scale.
  pubmed Gorenshtein A, Adiniaev Y, Omar M, Barash Y 等 2026 Jul 29 置信度 0.82
• Contrast-Enhanced Mammography-Based Radiomics for Predicting Ductal Carcinoma In Situ in Breast Cancer.
  Our investigation focuses on developing and testing a radiomics nomogram based on contrast-enhanced mammography (CEM) and clinical factors to predict ductal carcinoma in situ (DCIS) in breast cancer. A retrospective analysis was performed on 731 breast ca…
  pubmed Zhang K, Qiu J, Wang L, Mao N 等 2026 Jul 29 置信度 0.82
• A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.
  Accurate identification of benign and malignant thyroid nodules is a core link in clinical diagnosis and treatment decision-making, which directly affects the selection of subsequent treatment plans for patients. Aiming at the problems such as the strong subje…
  pubmed Li B, Li T, Ju H, Zhang D 等 2026 Jul 29 置信度 0.82
• Explainable AI-Assisted Multimodal Ultrasound Radiomics for Preoperative Risk Stratification of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma.
  The objective was to develop and validate an explainable artificial intelligence (AI)-based multimodal approach for preoperative risk stratification of central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) and to evaluate its role in suppor…
  pubmed Huang Z, Wang J, Chen M, Chu X 等 2026 Jul 29 置信度 0.82
• Elevated hypoxia-inducible factor-1α in pediatric patients with patent ductus arteriosus: a pilot study.
  Children with complex cyanotic congenital heart disease (CHD) and with pulmonary hypertension (PH) commonly experience hypoxia. Hypoxia-inducible factor-1α (HIF-1α) is a key regulator of cellular responses to low oxygen, and its levels are elevated…
  pubmed Trębacz O, Florek P, Podlewski J, Iwaniec T 等 2026 Jul 29 置信度 0.82
• Rethinking Case Allocation in Dermatopathology: Beyond First-In, First-Out.
  pubmed Pickler JGJ, Junior HF, Pedack FR, Silva BL 等 2026 Jul 29 置信度 0.82
• Strategies for pediatric dose derivation from population pharmacokinetic models.
  Health authorities worldwide require clinical studies in children to ensure scientifically rigorous and consistent dosing. Before pediatric data are available, model-based methods provide a scientific and reproducible way to determine doses for pediatric studi…
  pubmed Krause A, Cellière G 2026 Jul 29 置信度 0.82
• Artificial intelligence for chest radiography: an overview of techniques, challenges, and future directions.
  This paper presents a critical analysis of AI advancements in chest radiograph (CXR) analysis, tracing its evolution from conventional machine learning to deep learning and multimodal approaches. Early models relied on hand-crafted features, while recent CNNs …
  pubmed Matsuo H, Nishio M, Fujimoto K, Deperrois N 等 2026 Jun 2 置信度 0.82
• Orchestrated multi agents sustain accuracy under clinical-scale workloads compared to a single agent.
  We tested state-of-the-art LLMs under clinical-scale workloads using two designs: a single agent handling all tasks and a multi-agent orchestrator assigning each task to a dedicated worker. Across retrieval, extraction, and dosing tasks, batch sizes ranged fro…
  pubmed Klang E, Omar M, Raut G, Agbareia R 等 2026 Mar 9 置信度 0.82
• A framework for using AI to drive care model transformation: building cars rather than faster horses.
  Despite advances in science and technology, persistent challenges in the delivery of healthcare call for care model transformations that have yet to be realized. Artificial intelligence could drive these transformations, but has yet to do so at scale. We prese…
  pubmed Li RC, Rosengaus L, Gohil L, Sharp C 等 2026 Jan 28 置信度 0.82
• Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey.
  Using artificial intelligence (AI) to prescribe drugs has advanced slowly. Whether a "doctor-in-the-loop" design would increase acceptance of drug-prescribing AI is unknown, as are settings where physicians envision AI-driven drug prescription most likely to b…
  pubmed Zhang W, Qi S, Hu Y, Zhai X 等 2026 Jun 8 置信度 0.82
• Uses of generative AI by non-clinician staff at an academic medical center.
  Large language model (LLM) chat tools have the potential to transform healthcare workflows by improving efficiency and reducing administrative burdens. While prior research has predominantly focused on clinicians, non-clinician healthcare staff constitute the …
  pubmed Black KC, Haberkorn WJ, Ma SP, Kiani H 等 2026 Feb 2 置信度 0.82
• MAP: evaluation and multi-agent enhancement of large language models for inpatient pathways.
  Inpatient pathways require complex clinical decision-making based on comprehensive patient information, yet research on medical LLMs is limited in this area due to the lack of large-scale datasets. Existing medical benchmarks primarily focused on question-answ…
  pubmed Chen Z, Peng Z, Liang X, Wang C 等 2026 Jun 1 置信度 0.82
• Rethinking pathology image analysis through shuffling.
  Pathological examination is the current gold standard in cancer diagnosis, yet artificial intelligence (AI) methods still struggle to capture the multi-scale heterogeneity of tumor morphology across patients, tissues, and magnifications. Here, we introduce the…
  pubmed Liu Z, Zhang T, Chen BK, Feng Y 等 2026 Jul 29 置信度 0.82
• SignatureGuard: hybrid CNN-transformer model for signature verification and identification across Arabic and English datasets.
  Offline signature verification has a persistent Latin-script bias: most systems are built and evaluated on English datasets, while Arabic and other non-Latin scripts are largely absent from the benchmarking literature. SignatureGuard is a three-task framework …
  pubmed Balat M, Mamdouh E, Awaad R, Elhoseny M 等 2026 Jul 28 置信度 0.82
• A hybrid ConvNeXt-ViT framework with differential evolution optimization for breast cancer classification.
  Breast cancer, a leading cause of mortality among women worldwide, necessitates early detection through mammography. Yet, automated classification remains challenging due to class imbalance, limited datasets, and the need for both local and global feature extr…
  pubmed Aldawsari MA, Aldosari SJ, Ismail A, Emam MM 2026 Jul 29 置信度 0.82
• Perceptions of simulated artificial intelligence in medical consultations: associations with stress, memory, and perceived credibility.
  The growing integration of digital technologies into healthcare requires understanding the impact of different consultation modalities on patient stress, memory and perceived credibility. This study compared different consultation modalities (human physician, …
  pubmed Mayer CJ, Swysen TL, Kurz TR, Stephan TI 等 2026 Jul 29 置信度 0.82
• Theoretical modeling and numerical simulation of a light-field detector for x-ray differential phase contrast imaging.
  Most recently, a novel color-encoding light-field detector based on perovskite material has been demonstrated for x-ray differential phase contrast (DPC) imaging. However, it lacks performance evaluation and comparison between such a novel light-field detector…
  pubmed Tan Y, Zhu J, Zhang X, Zheng H 等 2026 Aug 置信度 0.82
• Concordance Between Radiologist and AI-based Volumetric Breast Density Assessments: Clinical and Economic Implications - A Retrospective Cohort Study.
  Radiologists classify breast density using the Breast Imaging Reporting and Data System (BI-RADS) as required by the 2024 Mammography Quality Standards Act (MQSA), which mandates disclosure of breast density in all mammography reports. FDA-approved AI software…
  pubmed Devine JR, Withrow ADM, Choudhry S 2026 Jun 置信度 0.82
• Neuroimaging in Distal & Medium Vessel Occlusions.
  Distal medium vessel occlusions (DMVOs), as a cause of acute ischemic stroke, typically present with unique challenges in diagnosis and treatment owing to their anatomical variability, heterogeneous clinical manifestations, and limitations in current imaging t…
  pubmed Rehman S, Akram U, Waseem S, Kobeisy AAN 等 2026 Jul 29 置信度 0.82
• [(18)F]FDG-PET in Lung Cancer: From Staging to Therapy Response.
  Lung cancer, the most commonly diagnosed malignancy, is the leading cause of cancer-related mortality worldwide. Advancements in molecular imaging have expanded the role of [18F] 2-Fluoro-2-deoxy-glucose (FDG) PET/CT in the management of lung cancer, from the …
  pubmed Singh H, Aggarwal P, Kumar R, Singh N 2026 Jul 29 置信度 0.82
• A multimodal artificial intelligence method for accurate diagnosis of autoimmune gastritis.
  Autoimmune gastritis (AIG), a chronic inflammatory disease associated with various comorbidities and complications, is often subject to missed or delayed diagnoses.
  pubmed Cao Y, Jin X, Zhao Y, Zhang G 等 2026 Sep 置信度 0.82
• [Current status and challenges of artificial intelligence application in pediatric intensive care unit].
  人工智能（AI）凭借强大的数据挖掘与推演能力，已逐步应用于儿童重症监&#…
  pubmed Fu S, Xu F, Li F, Qian SY 2026 Aug 2 置信度 0.82
• Cross-Cultural Applicability and Application of the Nursing Leaders' Readiness for Artificial Intelligence Scale: A Cross-Sectional Study.
  To translate, revise and evaluate the Chinese-version Nursing Leaders' Readiness for Artificial Intelligence Scale and assess Chinese nursing leaders' AI readiness.
  pubmed Yang H, Guo Y, Qiao Y, Bai W 等 2026 置信度 0.82
• Pitfalls and Emerging Trends in AI-driven Pathological Analysis of Metastatic Brain Tumors.
  The integration of artificial intelligence (AI) and computational pathology has the potential to refine prognostic stratification in patients with metastatic brain tumors (MBTs). However, current AI models, which are trained predominantly on extracranial tissu…
  pubmed Fujita M, Nawa S, Ito E, Nagasaka T 等 2026 Aug 置信度 0.82
• Local Recurrence Prediction After Carbon-ion Radiotherapy for Early-stage Non-small Cell Lung Cancer Using Machine Learning.
  Predicting local recurrence remains challenging in carbon-ion radiotherapy (CIRT) for non-small cell lung cancer (NSCLC). In this study, we aimed to develop and validate a machine learning model to predict local recurrence after CIRT for early-stage peripheral…
  pubmed Mochida K, Miyasaka Y, Kubo N, Yoshida H 等 2026 Aug 置信度 0.82
• Robot-assisted gait training using a robotic exoskeleton during inpatient rehabilitation in acute Guillain-Barré Syndrome.
  A woman in her early 60s with acute Guillain-Barré syndrome (GBS) developed rapidly progressive tetraparesis and respiratory failure requiring non-invasive ventilation. Following intravenous immunoglobulin and medical stabilisation, she entered inpatient …
  pubmed Ser JS, Lui SK 2026 Jul 29 置信度 0.82
• Applications of Deep Learning in Endocrine Neoplasms.
  Machine learning methods have been growing in prominence across all areas of medicine. In pathology, recent advances in deep learning (DL) have enabled computational analysis of histological samples, aiding in diagnosis and characterization in multiple disease…
  pubmed Ramesh S, Dolezal JM, Pearson AT 2026 Sep 置信度 0.82
• Machine Learning Modelling, Single-Cell Landscape Profiling and Spatial Transcriptomics Provide New Insights Into SUMOylation in Head and Neck Squamous Cell Carcinoma.
  SUMOylation is implicated in the regulation of multiple malignancies. However, its potential roles in head and neck squamous cell carcinoma (HNSCC) remain insufficiently characterised. By integrating bulk RNA-seq, scRNA-seq and stRNA-seq datasets, we systemati…
  pubmed Fang Z, Mei K, Liu J, Zhou W 等 2026 Jan-Dec 置信度 0.82
• Training the algorithmically augmented orthodontist: competencies, curriculum design, and implementation challenges.
  To establish a structured framework for incorporating artificial intelligence (AI) education into orthodontic residency training, outlining the competencies required for thoughtful and responsible use of AI in clinical practice.
  pubmed Yadav S, Gandhi V, Hansraj V, Venugopalan SR 等 2026 Jul 29 置信度 0.82
• Rewiring immunometabolism in hepato-biliary-pancreatic cancers: Unraveling TME-mediated metabolic suppression and advancing next-generation immunotherapeutic approaches.
  Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, continue to be a dominant factor in cancer-related deaths globally. Although immunotherapy has dramatically reshaped the cancer treatment landscape, its efficac…
  pubmed Wu Y, Chen Z, Hu Y, Ren S 等 2026 Jul 29 置信度 0.82
• The hard exudate pathway: Biological mechanisms, imaging correlates, and clinical implications.
  Hard exudates are common fundus findings in retinal vascular disease, but are frequently regarded as passive remnants of vascular leakage rather than biologically meaningful lesions. Traditionally described as lipid deposits associated with diabetic retinopath…
  pubmed Venkatesh R, Hande P, Prabhu V, Tendulkar K 等 2026 Jul 29 置信度 0.82
• An Explainable Cryobiopsy AI Model, CRAI, to Predict Progression in Interstitial Pneumonia.
  Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observer variability, necessitating more standardized approaches. We developed an ensemble AI model for cryobiopsy, …
  pubmed Uegami W, Okoshi EN, Lami K, Nei Y 等 2026 Jul 29 置信度 0.82
• End-to-End Clinical Validation of a Human-Supervised Large Language Model Agent for Enterprise Surgical Pathology Reporting.
  Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical validation, or operate outside secure, health system-approved environments. We developed and clinically validated…
  pubmed Abukhiran I, Mansour A, Caicedo ML, Minkowitz JM 等 2026 Jul 29 置信度 0.82
• Identification of key biomarkers for ferroptosis in diabetic kidney disease using machine learning and WGCNA.
  Early detection of diabetic kidney disease (DKD) remains challenging because currently available clinical markers mainly reflect established renal injury rather than early pathogenic changes. Ferroptosis has been increasingly implicated in DKD development, we …
  pubmed Liu Y, Huang Y, Su Y, Wang L 等 2026 Nov 置信度 0.82
• Artificial intelligence-assisted proteomic signatures for discriminating malignant from benign pulmonary nodules.
  Lung cancer remains a major global health burden. Although low-dose CT (LDCT) is effective for early detection, its clinical application is limited by a high false-positive rate and the need for subsequent invasive confirmation, such as biopsy. Meanwhile, the …
  pubmed Luo J, Dong Q, Yang J, Shan H 等 2026 Oct 置信度 0.82
• Diagnostic features predicted by deep learning improve human object recognition in simulated prosthetic vision.
  Objective . Cortical visual prostheses aim to partially restore vision by electrically stimulating V1. Yet, their effectiveness is constrained by the limited number of simultaneously elicitable phosphenes. Identifying sparse but informative visual features for…
  pubmed Scialom E, Lonnqvist B, Bornet A, Herzog MH 2026 Aug 18 置信度 0.82
• Histology-derived prediction of a stromal remodeling program in pancreatic ductal adenocarcinoma with transcriptomic and spatial validation.
  To develop and validate a histology-based model for predicting a stromal stiffness-related molecular surrogate in pancreatic ductal adenocarcinoma (PDAC) and to assess its spatial biological plausibility.
  pubmed Bao W, Wang T, Xia X, Chen L 等 2026 Jul 28 置信度 0.82
• A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos.
  Contrast-enhanced ultrasound (CEUS) is widely used for evaluating thyroid nodule malignancy, but conventional time-intensity curve (TIC) analysis is labor-intensive and operator-dependent. This study proposes LSTAC, an automated framework for nodule segmentati…
  pubmed Yang A, Li L, He R, Zhou X 等 2026 Jul 26 置信度 0.82
• AI for mental disorders and diabetes comorbidity management: A scoping review.
  The comorbidity of mental disorders and diabetes is on the rise, presenting a significant global public health challenge that gravely impacts the physical and psychological health of patients and presents obstacles to their effective management. The coronaviru…
  pubmed Kaburu FM, Zhu P, Kudiza A, McDonnell D 等 2026 Jun 18 置信度 0.82
• Detecting Narcissistic Personality Disorder Traits on Forums: Proof-of-Concept Study.
  Identifying traits of narcissistic personality disorder (NPD) is clinically challenging, yet early detection can significantly improve outcomes. Online forums have become a major source of self-expression, offering new opportunities to understand mental health…
  pubmed Aladağ AE, Özgür A, Akbaş NB, Zahmacioglu O 等 2026 Jul 29 置信度 0.82
• GRACE-ViT: Grouped Recalibration With Adaptive Contextual Emphasis for Breast Cancer Neoadjuvant Chemotherapy Response Prediction.
  IntroductionAccurate prediction of neoadjuvant chemotherapy (NAC) response in breast cancer is important for treatment planning and individualized therapy selection. Breast MRI contains subtle patterns related to treatment response. These patterns vary across …
  pubmed Abdelhalim I, Alghamdi NS, Sivakumar NR, Basheer S 等 2026 Jan-Dec 置信度 0.82
• Validation of a Text-Mining Tool for Extracting Routine Clinical Care Data in Early-Stage Resectable Non-Small Cell Lung Cancer.
  Manual chart review (MR) of electronic health records (EHRs) is time-consuming, error-prone, and limits the reproducibility and scalability of real-world data (RWD) research. Automation and standardization using natural language processing (NLP) could improve …
  pubmed Abedian Kalkhoran H, Martinot T, Schonewille LHN, Huyuk M 等 2026 Jul-Sep 置信度 0.82
• Integrated Radioproteomic Modeling for Early Recurrence Prediction and Metabolic Characterization in Hepatocellular Carcinoma.
  Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with high recurrence rates after surgical resection posing a significant challenge. While deep learning (DL) approaches show promise in predicting HCC recurrence, their clinical tra…
  pubmed Zhuang Q, Xu T, Xing X, Hu E 等 2026 Jul 置信度 0.82
• Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study.
  Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large language models (LLMs) offer a potential health education channel, but their performance in pediatric urology and the rela…
  pubmed Kang T, Yuan C, Hu X, Huang W 2026 Jul 29 置信度 0.82
• AI in the OR: Ethics and the Evolving Role of Surgeons.
  AI is rapidly entering the operating room, both as a clinical tool and as increasingly autonomous systems. In this News and Perspectives article, JMIR Correspondent and intensive care unit nurse Jenna Congdon reports on the ethical implications and evolving ro…
  pubmed Congdon J 2026 Jul 29 置信度 0.82
• Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics.
  Cardiovascular disease arises from interactions between inherited risk, molecular programmes, and tissue-scale remodelling that are observed clinically through imaging. Cardiac MRI (CMR), computed tomography (CT), and echocardiography are integral to routine c…
  pubmed Le MHN, Nguyen TH, Li T, Quang Gia Le B 等 2026 Jul 3 置信度 0.82
• Methods used and lessons learnt: a post-graduate general practice curriculum redesign initiative from Ireland.
  Curriculum review is a core component of postgraduate medical education, with implications for trainees, educators, and healthcare systems. In 2021, the Irish College of General Practitioners assumed full responsibility for national GP training in Ireland, cre…
  pubmed Scully R, McCarthy P 2026 Jul 29 置信度 0.82
• Boron-Doped Diamond Electrodes for Voltammetric Determination of Major Antibiotic Classes: Electrochemical Mechanisms, Intelligent Analytical Systems, and Critical Perspectives.
  This review sort of critically assesses how boron-doped diamond electrodes (BDDEs) are becoming more important for voltammetric determination of major antibiotic groups, like fluoroquinolones, tetracyclines, sulfonamides, $\beta$-lactams and rifamycins. It poi…
  pubmed Barzani HAH, Omer RA, Salih Barzani KI, Omar Othman H 等 2026 Jul 29 置信度 0.82
• Multilevel dynamics of the brain, hormones, mind, and behavior in social human-robot interaction.
  As robots enter homes, workplaces, and health care settings, sustaining trust during social interaction becomes a central challenge for human-robot interaction. However, relatively little is known about how humans integrate signals across the brain, hormones, …
  pubmed Topoglu Y, Krueger F, Joshi S, Rothstein N 等 2026 Jul 29 置信度 0.82
• Object detection in histology: A multi-dataset benchmark and test-time inference.
  Medical image analysis has become increasingly important for automated medical diagnosis, as well as deep learning. Specifically, object detection models may help in automatically identifying pathological structures and features. This study presents a comprehe…
  pubmed Leordean DV, Ardelean ER 2026 置信度 0.82
• A comparative analysis of readability, quality, and reliability in large language model outputs pertaining to knee osteoarthritis queries.
  This study aims to comparatively examine the readability, accuracy, and quality of responses provided by artificial intelligence (AI)-based chatbots such as Perplexity, ChatGPT-5, and Gemini to questions about knee osteoarthritis (KOA), which accounts for appr…
  pubmed Maraşlı E, Ozduran E, Hancı V 2026 置信度 0.82
• Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks.
  Working memory (WM) is thought to rely on sophisticated frontostriatal mechanisms for selective gating, supporting updating and readout of information to and from distinct memory "addresses" (neural populations). According to computational models, capacity lim…
  pubmed Soni A, Traylor A, Merullo J, Frank MJ 等 2026 Jul 24 置信度 0.82
• Artificial Intelligence-Driven Video-Based Surgical Skill Assessment in Hepatobiliary Laparoscopic Surgery.
  This quality improvement study evaluates the use of a video-based artificial intelligence framework that uses multi-instrument tracking and clinically informed spatiotemporal kinematic features to provide objective, granular assessment of laparoscopic cholecys…
  pubmed Zeng X, Li Y, Wang J, Yang L 等 2026 Jul 29 置信度 0.82
• Compounding advantage: Medical AI and structural injustice.
  Artificial intelligence in clinical medicine is widely presented as a democratising advance, bringing the interpretive capacity of leading institutions to those that lack it. This paper argues that, under prevailing market governance, AI does not democratise b…
  pubmed Nikolic B 2026 Jul 29 置信度 0.82
• Religious Concerns about the Integration of Artificial Intelligence into Clinical Medicine and Patient Care.
  The integration of artificial intelligence (AI) into the medical and spiritual care of the sick is expected to challenge a range of religious values and norms. Various religious authorities have expressed concerns about AI's integration, which include the ques…
  pubmed Bao GC, Gabbay E 2026 Jul 29 置信度 0.82
• [Artificial intelligence in the care of geriatric patients-more of a curse or more of a blessing?].
  Artificial intelligence (AI) is conquering medicine in many fields. With geriatric patients, it is important not only to understand the decision tree of, for example, a tumor disease, but also to assess their functionality and functional deficits.
  pubmed Wiedemann A, Manseck A, Stein J, Fröhner M 等 2026 Sep 置信度 0.82
• Agreement of AI-assisted semi-automated right ventricular function analysis using 3D transthoracic echocardiography with artificial intelligence.
  Advances in three-dimensional (3D) transthoracic echocardiography (TTE) with artificial intelligence (AI) enable AI-assisted semi-automated right ventricular (RV) function analysis, including two-dimensional (2D) measurements. However, data on the agreement of…
  pubmed Shiokawa N, Izumo M, Sato Y, Uenomachi N 等 2026 Jul 29 置信度 0.82
• Author response to OSIN-D-26-01484: "Clarifying statistical methods in a TriNetX analysis of statins and osteoporosis in CKD patients".
  pubmed Wu PH, Lin YT, Chen JC, Lin SY 等 2026 Jul 29 置信度 0.82
• Intracranial pressure physiology, monitoring and individualized management in the acute brain injured patient.
  Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is associated with high morbidity and mortality, which is driven not only by the primary brain injury, but also by the development of secondary cerebral insults. Among…
  pubmed Taccone FS, Arabi Y, Baggiani M, Brasil S 等 2026 Jul 29 置信度 0.82
• Managing Aortic Regurgitation and Dynamic Aortic Thrombus in a Patient With Left Ventricular Assist Device.
  Patients with end-stage heart failure undergoing durable left ventricular assist device (dLVAD) implantation are at risk of developing de novo or progressive aortic regurgitation (AR) during long-term support.
  pubmed Stegmann A, Nagel A, Lanmüller P, Nersesian G 等 2026 Jul 29 置信度 0.82
• Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.
  This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Disease (CSVD) and investigate its association with variables such as serum Insulin-like Growth Factor-1 (IGF-1). Artificial intelligence algorithms, specifically eXtreme Gra…
  pubmed Gao P, Su J, Ma X, Ma X 等 2026 Aug 置信度 0.82
• Anatomy-specific Performance of CT Angiography-based AI for Anterior Circulation Occlusion: Systematic Review and Meta-Analysis.
  Purpose To evaluate anatomy-specific diagnostic performance of CT angiography-based artificial intelligence (AI) for anterior circulation occlusion detection and negative-result implications for distal occlusions. Materials and Methods In this Preferred Report…
  pubmed Liu Y, Li C, Ren Z, Hu Y 等 2026 Jul 29 置信度 0.82
• A Low-Cost, Easily Implementable Model for Multiskill Hands-On Training in Otolaryngology Education.
  Early exposure to otolaryngology-head and neck surgery is limited in undergraduate medical education, and existing hands-on training programs are often resource-intensive or focused on single procedures, restricting their broader implementation. This study aim…
  pubmed Inoue T, Sakaue S, Ominato H, Wakisaka R 等 2026 Aug 置信度 0.82
• Saudi Medical Students' Perceptions and Attitudes of Integrating Generative Artificial Intelligence Integration in Medical Education: A Cross-Sectional Study.
  Generative Artificial Intelligence (GenAI) has catalyzed a transformation in medical education. Understanding learners' perceptions is essential to guide their responsible integration into curricula.
  pubmed Aljamaan F, Mubarak MF, Altamimi I, Alanteet AA 等 2026 Aug 置信度 0.82
• Privacy-Preserving Surgical Video Analysis with Swarm Learning - Results from a Multinational Appendectomy Cohort.
  Progress in artificial intelligence (AI)-based analysis of surgical videos has been constrained by reliance on manual frame-level annotations rather than patient-level outcomes. In addition, concerns about data privacy restrict the exchange of laparoscopic vid…
  pubmed Saldanha OL, Pfeiffer K, Bodenstedt S, Kirchner M 等 2026 Jul 置信度 0.82
• Risk Management of Large Language Model-Based Exercise and Health Guidance: A China-Anchored, Comparatively Informed Six-Dimensional Trigger Matrix and Lifecycle Governance Framework for the Wellness-to-SaMD Continuum.
  LLM-based exercise and health guidance creates a distinctive risk-management challenge: seemingly modest changes in product claims, target users, data inputs, personalization, automation, human oversight, or updates may move a tool from general wellness suppor…
  pubmed Pan K, Lin X, Huang S, Huang C 2026 置信度 0.82
• A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.
  Translating artificial intelligence (AI) research in orthopedics from proof-of-concept studies into production-grade clinical systems requires the systematic satisfaction of four prerequisite domains: interdisciplinary team architecture, technical data managem…
  pubmed Longo UG, Merone M, Schena E, Bandini B 等 2026 Jul 置信度 0.82
• Integration of Transformer-Based Architecture and Large Language Models for Optical Coherence Tomography Data Analysis to Improve the Accuracy of Differential Diagnosis of Retinal Diseases.
  The aim of the present study was to improve the differential diagnosis accuracy of retinal diseases combining a transformer model to classify the biomarkers on OCT images and the large language model DeepSeek-V3.
  pubmed Konshina OV, Pershin AD, Kulyabin MK, Borisov VI 2026 置信度 0.82
• Influence of Functional Magnetic Resonance Imaging Data Preprocessing Pipelines on the Accuracy of Schizophrenia Classification Using Machine Learning Methods.
  The aim of the study was to analyze the influence of various pipelines for preprocessing raw functional magnetic resonance imaging (fMRI) data on the accuracy of classification of subjects into schizophrenia patients and healthy controls using machine learning…
  pubmed Poyda AA, Orlov VA, Zhemchuzhnikov AD, Kozlov SO 等 2026 置信度 0.82
• Deep and shallow models in medical expert systems
  crossref E.T. Keravnou, J. Washbrook 2004-04-23T09:53:05Z 置信度 0.70
• Artificial intelligence based Alzheimer’s disease detection using deep feature extraction
  crossref Manav Nitin Kapadnis, Abhijit Bhattacharyya, Abdulhamit Subasi 2023-01-20T15:22:28Z 置信度 0.70
• BAI-PLF: A Blockchain-AI-IoT Framework for Energy-Efficient and Predictive Logistics and Healthcare in Africa
  crossref Aya Bouri, Saadia Chabel, Aissa Kerkour Elmiad, Asmae El Mezouari 等 2026-07-14T13:55:26Z 置信度 0.70
• Retraction: Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development
  crossref 2026-04-28T19:40:07Z 置信度 0.70
• Acknowledgement
  crossref 2026-01-27T04:49:42Z 置信度 0.70
• Ethical Review in Medical Artificial Intelligence Applications: Challenges, Frameworks, and Future Directions
  The rapid advancement of medical artificial intelligence (AI) technologies is profoundly transforming healthcare practices, offering significant potential in disease diagnosis, treatment decision-making, health management, and drug development. However, the ap…
  crossref xianqi zhang 2026-05-19T01:23:03Z 置信度 0.70
• 2026 International Conference on Revolutionary Artificial Intelligence and Future Applications (Rev-AI)
  crossref 2026-08-04T19:17:14Z 置信度 0.70
• Front Matter
  crossref 2025-09-13T16:16:54Z 置信度 0.70
• Advanced Research Methodology (Strategies for Scholarly Inquiry)
  crossref 2026-03-25T16:48:58Z 置信度 0.70
• Copyright
  crossref 2025-11-29T05:52:28Z 置信度 0.70
• Proceedings of the 2026 International Conference on Artificial Intelligence and Agents
  crossref 2026-06-06T05:06:47Z 置信度 0.70
• Copyright
  crossref 2024-02-02T07:43:05Z 置信度 0.70
• Index
  crossref 2023-01-20T14:05:22Z 置信度 0.70
• Care ethics and the transformation of care in an age of artificial intelligence
  Abstract Background The integration of artificial intelligence (AI) and care robots into healthcare raises a central ethical question: what constitutes care, and how should it be delivered when machines perform caregiving tasks? Dominant AI ethics frameworks, …
  crossref Rachel Wangari Kimani 2026-05-30T05:24:43Z 置信度 0.70
• The Horizon of Artificial Intelligence
  The Horizon of Artificial Intelligence is a wide-ranging intellectual journey across human intelligence, artificial intelligence, culture, innovation, education, ethics, and the future of knowledge. Written by Piero Formica, with additional contributions by in…
  crossref Piero Formica 2026-05-16T17:39:46Z 置信度 0.70
• Dedication
  crossref 2025-10-17T11:06:31Z 置信度 0.70
• 2026 International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML)
  crossref 2026-05-06T19:39:34Z 置信度 0.70
• Artificial intelligence and sustainable medical resource coordination in public health emergencies: a differential game approach
  crossref Jie Leng 2026-07-21T03:22:05Z 置信度 0.70
• AICCONF 2026 Cover Page
  crossref 2026-07-17T19:43:02Z 置信度 0.70
• Medical Applications of Artificial Intelligence
  The medical & the dental field is a never ending field of innovations & developments and each time the reasearchers come up with something new. One such new dimension in the fields of medicine being the incorporation of Artificial intelligence …
  crossref Rupanjan Roy, Aishani Baksi 2022-10-31T02:52:26Z 置信度 0.70
• Copyright
  crossref 2026-01-27T04:49:42Z 置信度 0.70