Artificial Intelligence Medical Compendium

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

Showing 34,021 to 34,030 of 221,510 articles

Preparing Physicians for Tomorrow's Practice: Contemporary Practice Competencies as a Framework for Technology-Driven Change.

JMIR medical education Apr 7, 2026
Medical education has long relied on stable, high-level program objectives to articulate the outcomes of undergraduate medical training. These objectives have served an essential role in defining professional identity, guiding curricular design, and ... read more 

Fifteen Years of WRTDS for Advancing Water-Quality Science: A Review of Methodological Developments and Global Applications.

Environmental science & technology Apr 7, 2026
Contamination by nutrients, major ions, and metals poses a major threat to global water sustainability. Understanding how these pollutants vary across time and space requires long-term monitoring and robust statistical approaches. Traditional methods... read more 

Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study.

Journal of medical Internet research Apr 7, 2026
BACKGROUND: Frequent, sustained stress is linked to poor health and requires monitoring for early intervention. Electrocardiograms (ECG) are promising biomarkers because they can be recorded noninvasively and continuously using wearable devices. Howe... read more 

Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.

Online journal of public health informatics Apr 7, 2026
BACKGROUND: Public opinion, which may be influenced by personal experiences, news, and social media, can impact compliance with public health measures (PHMs) during health emergencies. Artificial intelligence (AI) tools offer opportunities to analyze... read more 

Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study.

JMIR medical informatics Apr 7, 2026
BACKGROUND: Colorectal cancer liver metastasis (CRLM) presents considerable challenges in both diagnosis and prognosis, as conventional approaches often are limited by subjectivity, variability, and limited efficiency. Recent advances in deep learnin... read more 

Assessment of Telemedicine Perceptions, Usability, and Implementation Barriers Among Physicians in Kazakhstan Using the Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazakhstan Version (TUQ-MAST-KZ) Questionnaire: Pilot Cross-Sectional Survey Study.

JMIR formative research Apr 7, 2026
BACKGROUND: Health care professionals' perceptions of telemedicine, its usability, and the presence of organizational barriers are important determinants of the successful implementation of digital solutions in health care. In Kazakhstan, the use of ... read more 

Implicit Generative Modeling by Kernel Similarity Matching.

Neural computation Apr 7, 2026
Understanding how the brain encodes stimuli has been a fundamental problem in computational neuroscience. Insights into this problem have led to the design and development of artificial neural networks that learn representations by incorporating brai... read more 

Echoes of the Past: A Unified Perspective on Fading Memory and Echo States.

Neural computation Apr 7, 2026
Recurrent neural networks (RNNs) have become increasingly popular in information processing tasks involving time series & temporal data. A fundamental property of RNNs is their ability to create reliable input/output responses, often linked to how th... read more 

Thousand Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference.

Neural computation Apr 7, 2026
Current AI systems achieve impressive performance on many tasks, yet they lack core attributes of biological intelligence, including rapid, continual learning, representations grounded in sensorimotor interactions, and structured knowledge that enabl... read more 

Learning Three-domain Implicit Image Function for Arbitrary-scale Light Field Super-Resolution.

IEEE transactions on pattern analysis and machine intelligence Apr 7, 2026
Various deep learning-based light field image super-resolution methods have attained notable success in recent years. However, most of them focus on encoder design while neglecting the critical role of upsampling process in decoder part. Motivated by... read more 
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