Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 42,501 to 42,510 of 223,853 articles

Application of a Large Visual Language Model on Tongue Image Description Generation and Physical Constitution Reasoning in Traditional Chinese Medicine (TongueVLM): Model Development and Validation Study.

JMIR medical informatics
BACKGROUND: In the field of traditional Chinese medicine (TCM), diagnostic work based on tongue images to recognize the physical constitution is a process of collecting clinical information, reasoning, and combining the patient's tongue image feature... read more 

Trustworthy AI-Augmented Objective Structured Clinical Examinations in Nursing Education: Taiwan-Japan Viewpoint on 5 AI Roles, Governance, and Cross-Border Implementation.

JMIR formative research
Generative artificial intelligence (AI) is arriving in high-stakes assessment; however, governance, validity evidence, and faculty readiness remain uneven. From a Taiwan-Japan perspective, we outline a pragmatic, transferable approach to integrating ... read more 

Complete Blood Count-Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation.

JMIR medical informatics
BACKGROUND: Inflammation plays a pivotal role in the progression of diabetes and its cardiovascular complications, particularly acute myocardial infarction (AMI). Patients with AMI often face high mortality and morbidity, making accurate prognosis cr... read more 

Strategic Governance of Artificial Intelligence-Enabled Clinical Algorithm Development: Formative Evaluation of the Semiautomatic Clinical Algorithm Development Framework.

JMIR formative research
BACKGROUND: Health care leaders face a strategic dilemma: traditional expert-led content development ensures safety but is too slow for digital innovation, whereas artificial intelligence (AI) automation offers speed but introduces risks from halluci... read more 

CT Radiomics-Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study.

JMIR medical informatics
BACKGROUND: Thyroid carcinoma is the most prevalent endocrine malignancy, with a worldwide increasing incidence. Capsular invasion and neural invasion (NI) are pivotal prognostic factors for recurrence and survival; however, their preoperative noninv... read more 

CT-based hybrid deep learning-radiomics framework for predicting postoperative rebleeding in hypertensive intracerebral hemorrhage.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Hypertensive intracerebral hemorrhage (HICH) is a frequently encountered and highly lethal cerebrovascular disorder, and postoperative rebleeding remains one of its most feared complications. METHODS: We developed a nomogram featuring a h... read more 

Computer-aided structural modeling and drug discovery for G-protein-coupled receptors in the age of artificial intelligence.

Current opinion in structural biology
G-protein-coupled receptors (GPCRs) are a large family of membrane proteins that mediate cellular responses to diverse stimuli and serve as targets for ∼35 % of Food and Drug Administration-approved drugs. Their structural complexity, conformational ... read more 

Nurses confront artificial intelligence-generated health information at the bedside: A case study.

Nursing outlook
As artificial intelligence (AI) tools increasingly shape how patients access health information, nurses must navigate new bedside tensions. This case study examines a nurse's encounter with a patient whose interpretation of AI‑generated lab results c... read more 

Integrating explainable AI and One Health: a new frontier in combating infectious diseases.

EBioMedicine
Infectious diseases (IDs) remain a major threat to global health and societal stability. Because most emerging IDs in humans are zoonotic in origin and shaped by environmental contexts, effective prevention and control call for a One Health approach.... read more