Artificial Intelligence Medical Compendium

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

Showing 55,741 to 55,750 of 226,731 articles

Development of a robust corpus for automated evaluation of online health information in Chinese using the DISCERN scale.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVE: To develop the first comprehensive, standardized annotated corpus of Chinese online health information (OHI) using the full 16-item DISCERN instrument and to establish a reliable annotation process that supports automated quality assessmen... read more 

Evaluation of trajectory analysis for disease risk assessment: a scoping review.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet undetected disease by analyzing "patient trajectories." Trajectory studies explore clinical event asso... read more 

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVES: This study aims to automatically classify physical examinations performed during general practitioner (GP) consultations using a deep learning fusion model. The model distinguishes between two interaction types: Human-Object Activities (H... read more 

The Essence of Artificial Intelligence in Health Care.

Hand clinics Feb 1, 2026
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Automated detection of stigmatizing language in Electronic Health Records (EHRs) using a multi-stage transfer learning approach.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVE: Stigmatizing language (SL) in Electronic Health Records (EHRs) can perpetuate biases and negatively impact patient care. This study introduces a novel method for automatically detecting such language to improve healthcare documentation pra... read more 

Neural Prediction Errors as a Unified Cue for Abstract Visual Reasoning.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2026
Humans exhibit remarkable abilities in recognizing relationships and performing complex reasoning. In contrast, deep neural networks have long been critiqued for their limitations in abstract visual reasoning (AVR), a key challenge in achieving artif... read more 

AcuKG: a comprehensive knowledge graph for medical acupuncture.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
BACKGROUND: Acupuncture, a key modality in traditional Chinese medicine, is gaining global recognition as a complementary therapy and a subject of increasing scientific interest. However, fragmented and unstructured acupuncture knowledge spread acros... read more 

A Shape and Size-Scaled Deep Learning Brain Injury Model for Near Real-Time Dynamic Impact Simulation.

Journal of biomechanical engineering Feb 1, 2026
Efficient deep learning brain injury models enable large-scale, strain-based investigations of traumatic brain injury (TBI). Here, we extend a previous model based on a generic 50th percentile adult male brain to a more individualized surrogate (appl... read more 

Biases in an artificial intelligence image-generator's depictions of healthy aging and Alzheimer's.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVE: This content analysis study investigates potential biases in image generation by 2 artificial intelligence (AI) tools, DALL-E 3 and Midjourney, in portraying older adults and individuals living with dementia. Despite widespread use of gene... read more 

Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2026
OBJECTIVE: To develop a transfer-learning Bayesian sparse logistic regression model that transfers information learned from one dataset to another by using an informed prior to facilitate model fitting in small-sample clinical patient-level predictio... read more 
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