Artificial Intelligence Medical Compendium

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

Showing 781 to 790 of 159,839 articles

The apportionment of dietary diversity in wildlife.

Proceedings of the National Academy of Sciences of the United States of America
Evaluating species' roles in food webs is critical for advancing ecological theories on competition, coexistence, and biodiversity but is complicated by pronounced dietary variability within species and overlap across species. We combined dietary DNA... read more 

The Promise and Peril of Learning Algorithms and Predictive Models in Clinical Decision Support: Be Careful What You Train For.

Circulation
Continued growth in AI-enhanced clinical decision is expected. Representative populations for model training/validation are needed. read more 

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

Arthritis care & research
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies d... read more 

Bringing Artificial Intelligence (AI) into Health Information Seeking Behavior: A Study of AI and Information Seeking Research.

Journal of health communication
This paper explores the impact of artificial intelligence (AI) on information seeking behavior research and practice, including the need to scrutinize existing information seeking theory, challenge the understood behavioral norms, and consider redefi... read more 

The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.

Journal of clinical nursing
BACKGROUND: Artificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' exper... read more 

Nurses' Insights on the Braden Scale and Their Vision for Artificial Intelligence Innovations: A Mixed Methods Study.

Journal of clinical nursing
AIMS: This study aimed to explore nurses' experiences with the Braden Scale, assess their readiness for artificial intelligence (AI) technologies, and understand the innovations they envision for clinical practice. read more 

Machine learning approaches for improved understanding of factors associated with history of sport-related concussion.

Risk analysis : an official publication of the Society for Risk Analysis
Sport-related concussion (SRC), which accounts for a significant portion of all mild traumatic brain injuries in the United States, can adversely affect quality of life and long-term cognitive function. Identifying the persisting effects of concussio... read more 

Diagnostic technologies for neuroblastoma.

Lab on a chip
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ... read more 

Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification.

Journal of chemical theory and computation
In this study, we propose a Kernel-PCA model designed to capture structure-function relationships in a protein. This model also enables the ranking of reaction coordinates according to their impact on protein properties. By leveraging machine learnin... read more 

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

Proteins
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID-related Rounds), which have witnessed the transition to AI-driven prediction tools such as AlphaFold and related alternative... read more