Artificial Intelligence Medical Compendium

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

Showing 46,341 to 46,350 of 224,055 articles

Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.

BMJ health & care informatics
OBJECTIVES: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD) patients responsible for the top quartile of healthcare spending. METHODS: De-identified commercial claims (2016-2018) from ~267 000 continuously enr... read more 

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BMJ open
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income countries (LMICs), concerns persist regarding the use of quality routine health data for health servi... read more 

Evaluating the cost-effectiveness of artificial intelligence in Barrett's surveillance.

Endoscopy
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's esophagus (BE). However, the cost-effectiveness of AI-assisted BE surveillance has not been evaluated.A Markov model simulated 1000 Australian individ... read more 

[AI Technologies for Diagnostics and Conversation Analysis in Psychotherapy: Opportunities and Challenges].

Psychotherapie, Psychosomatik, medizinische Psychologie
In recent years, artificial intelligence (AI) has made great progress in medicine, particularly in the analysis of medical imaging data. Its potential as an analytical tool for psychology and psychotherapy, however, has received comparatively little ... read more 

Integrative transcriptomic analysis identifies synovium-derived biomarkers for OA-related synovitis and builds a validated diagnostic nomogram.

Medicine
This study identifies diagnostic biomarkers of OA-related synovitis from synovial tissue expression and develops a validated diagnostic nomogram (differentially expressed genes = differentially expressed genes; single-sample gene set enrichment analy... read more 

Automated detection of Chagas disease from ECG signals using wavelet scattering transform and RUSBoost classifier.

Physiological measurement
Early diagnosis of Chagas disease plays a vital role in enabling timely treatment and reducing the likelihood of underlying severe cardiovascular complications. Electrocardiogram (ECG) signals contain vital information that reflects cardiac disease p... read more 

Physics-Guided Inverse Design of Nonfullerene Acceptors via a Deep-Learning-Accelerated Genetic Algorithm.

ACS applied materials & interfaces
The discovery of high-performing nonfullerene acceptors (NFAs) for organic solar cells (OSCs) is challenged by the vastness of chemical space and the need to satisfy multiple tightly coupled electronic criteria. Here, we present a physics-informed ge... read more 

Computational and AI-Driven Ecosystem for Structure-Based Covalent Drug Discovery.

Accounts of chemical research
ConspectusThe field of covalent drug discovery has witnessed a remarkable resurgence in recent years, a trend underscored by the approval of more than 125 covalent drugs by the US FDA as of 2025, which demonstrates their immense therapeutic potential... read more 

Artificial Intelligence in Health Professions Education: A Qualitative Study of Student Experiences.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and healthcare, raising questions about how students use these technologies and how AI influences their learning. In health education, understanding these trends is pa... read more 

Optical logic convolutional neural network.

Science advances
Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on digital-to-analog converters and analog-to-digital converte... read more