Artificial Intelligence Medical Compendium

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

Showing 25,691 to 25,700 of 217,759 articles

Contemporary Trends in Calcium Levels and Related Clinical Conditions: A Two Decade Analysis of U.S. National Health and Nutritional Examination Survey Data.

Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme
Ambulatory hypercalcemia is a proxy for primary hyperparathyroidism. Reports of an increased incidence of hypercalcemia and undiagnosed primary hyperparathyroidism in several electronic medical record studies have prompted a population-based trend an... read more 

XRL-QNet: an explainable reinforcement learning framework for optimizing and evaluating quantum dots fabrication.

Nanotechnology
The development of quantum photonics relies on the availability of high-quality, on-demand single-photon sources. Most appropriate are semiconductor Quantum dots (QDs) with tunable emission spectra and discrete energy levels. Due to the spontaneous o... read more 

Generative AI and the Future of Musical Diversity.

Topics in cognitive science
I argue that the current proliferation of generative artificial intelligence (AI) represents a new stage in a longer historical process of distancing humans from their unique individual psyches and of reducing participation and cultural diversity in ... read more 

The Performance of DeepSeek R1 and Gemini 3 in Complex Medical Scenarios: Comparative Study.

JMIRx med
BACKGROUND: Generative artificial intelligence models, especially reasoning large language models (LLMs), are gaining adoption in health care for diagnostic decision support and medical education. DeepSeek R1 is a reasoning LLM that generates extende... read more 

Machine Learning-Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study.

JMIR aging
BACKGROUND: Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical structures and functional dynamics. Machine learning (ML) can accurately predict outcomes and understa... read more 

Multimodal Depression Detection Through Conversational Interactions with an Emotion-Aware Social Robot: Pilot Study.

JMIR formative research
BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, are reliable but impractical for frequent or larg... read more 

The Power of Multimodality in Multimodal Large Language Models, Unimodal ChatGPT 5.0, and Human Clinical Experts on a Wound Care Certification Examination: Cross-Sectional Comparative Study.

JMIR formative research
BACKGROUND: Multimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wound care assessment, which demands simultaneous a... read more 

Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.

JMIR medical education
BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and clinical practice. However, its use during clinical placements, where cognitive demands and responsibility for patient care increase, remains insuffic... read more 

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

JMIR AI
BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review has comprehensively evaluated AI-assisted clinical... read more