Artificial Intelligence Medical Compendium

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

Showing 61,161 to 61,170 of 228,300 articles

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches.

Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy
BACKGROUND: Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of ren... read more 

How Should We Prompt Engineer Our Health Coach Bots? Stoicism, Epicureanism or Something Else?

American journal of health promotion : AJHP
Healthcare is among the fastest growing sectors utilizing artificial intelligence to improve efficiency, quality and accessibility to services. In particular, the role bots can play in creating greater access and scalability in mental health services... read more 

The balance between artificial and human intelligence in clinical practice.

The Journal of hand surgery, European volume
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diagnosis, planning, intraoperative assistance, postoperative monitoring, rehabilitation, prosthetics an... read more 

AI-Enhanced Imaging for Diabetic Foot Ulcer Risk Assessment and Diagnosis: A Retrospective Cohort Study.

Journal of diabetes science and technology
BACKGROUND: The automated assessment and prediction of diabetic foot ulcer (DFU) severity depends heavily on precise segmentation of the ulcer region. This approach avoided reliance on built-in segmentation tools, which often lacked the accuracy need... read more 

Explainable AI-assisted hybrid self-organising maps and deep learning algorithms for detecting pistachio adulteration with peas.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment
In this study samples of raw pistachio nuts were prepared containing from 0% to 60% adulteration with dried peas. This training set of samples were analysed by Raman spectroscopy at frequencies from 200 to 2000 cm-1 and an integrated AI model was use... read more 

Development of team-based and individualised speed zone thresholds for elite club-level women's soccer.

Science & medicine in football
Speed zone thresholds in women's soccer are often based on thresholds derived from the men's game. This study applied a data-mining approach to generate (a) team-based speed zone thresholds, and (b) individualised speed zone thresholds for elite fema... read more 

Machine learning and food inspection: use of Bayesian Network modeling to support official controls in the food industries.

Italian journal of food safety
This study aims to develop a machine learning model capable of predicting the type of non-compliance (NC) most likely to be detected by competent authorities during official control of food establishments based on their structural, product, and manag... read more 

Identification of molecular compounds targeting bacterial propionate metabolism with topological machine learning.

Journal of molecular graphics & modelling
This study demonstrates the transformative potential of machine learning in drug discovery by integrating comparative protein and ligand analysis with novel topological machine learning methods. Our approach sifts through large chemical libraries to ... read more