Artificial Intelligence Medical Compendium

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

Showing 49,851 to 49,860 of 224,814 articles

Neighborhood perceivable graph neural network for relational heterogeneous Twitter bot detection.

PloS one
Malicious bots undermine the integrity and safety of online social platforms, making their detection an urgent priority. This work aims to address the limitations of existing GNN-based bot detection approaches, particularly their inability to adapt t... read more 

Satellite thermal data applied to landscape archaeology: Mounds in Michigan (1200-1600 CE).

Proceedings of the National Academy of Sciences of the United States of America
Advances in global satellite-based remote sensing, big data, and machine learning are making large-scale geographic analysis increasingly accessible. Archaeology can benefit from multitemporal and multisensor satellite data even when direct archaeolo... read more 

Extracellular Vesicle Analysis: Recent Technological Advances and Emerging Opportunities.

Annual review of analytical chemistry (Palo Alto, Calif.)
Extracellular vesicles (EVs) are membrane-bound vesicles that mediate intercellular communication and have gained significant interest as potential biomarker sources and therapeutic agents. This review summarizes the most recent advances in EV analys... read more 

Predicting treatment outcome in sclerotherapy of reticular veins and telangiectasia using machine learning: A comprehensive analysis and performance evaluation.

Vascular
BackgroundAccurately predicting treatment responses in varicose vein sclerotherapy is crucial for improving patient quality of life and optimizing overall healthcare costs.PurposeOur study aims to accurately predict treatment responses in telangiecta... read more 

Enhancing health monitoring in smart offices: a multi-layered digital twin approach.

Informatics for health & social care
Sedentary nature of office work contributes to a range of physical health issues, including obesity, which can result from prolonged inactivity, and cardiovascular diseases, linked to heightened risk factors associated with a lack of movement. Furthe... read more 

Technological advancements for improving preoperative assessment and precision in cardiovascular surgery.

Expert review of cardiovascular therapy
INTRODUCTION: Cardiovascular surgery including cardiac surgery and complex endovascular procedure needs careful preoperative planning as well as intraoperative precision to improve outcomes and ameliorate complications. During the last decades, sever... read more 

Trust Analysis Canvas for Teaching in the Field of Digital Public Health and Medicine: Tutorial.

JMIR medical education
Trust is increasingly recognized as a cornerstone for the successful implementation of digital public health initiatives, from mobile apps to the use of artificial intelligence in medicine, yet it remains underrepresented in educational curricula. In... read more 

Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about fairness persist, particularly in relation to sociodemographic disparities. Previous studies suggest that socioeconomic status (SES) and sex may influ... read more 

Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation.

JMIR AI
BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care systems. Despite the remarkable progress in artificial intelligence (AI), there remains a notable gap i... read more 

Artificial Intelligence in Medical Education: Transformative Potential, Current Applications, and Future Implications.

JMIR medical education
Artificial intelligence (AI) is increasingly influencing medical education by enabling adaptive learning, AI-assisted assessment, and scalable instructional tools. Natural language processing, machine learning, and generative large language models of... read more