Artificial Intelligence Medical Compendium

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

Showing 61 to 70 of 212,294 articles

Design and Analysis of Emotion Elicitation Techniques for ECG-Based Emotion Recognition in Children with Autism Spectrum Disorder (ASD).

Applied psychophysiology and biofeedback
Children with autism spectrum disorder (ASD) face difficulties in expressing and recognizing emotions resulting in meltdowns and aggressive situations which is strenuous for both parents and caretakers. A device that would help parents and caretakers... read more 

Should I and Can I use AI for forensic psychiatry report writing?: A Viewpoint.

JMIR mental health
The rapid evolution of artificial intelligence (AI), particularly large language models (LLMs), has renewed interest in their potential role in forensic psychiatry report writing. Recent evidence demonstrates that contemporary LLMs perform strongly o... read more 

Spatio-temporal drought dynamics in Niamey District, Niger (2005-2022): multi-index deep learning approach leveraging multi-sensor satellite and climate datasets.

Scientific reports
In this research, we developed and applied a multi-sensor Long short-Term Memory (LSTM) pipeline for drought monitoring and analysis in the Niamey District of Niger from 2005 to 2022. Data inputs included Landsat 5 TM and Landsat 7 ETM + satellite sc... read more 

Deep Learning-Based Prediction of Drug Bitterness Using Molecular Structures.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Bitterness is a major cause of poor medication adherence, particularly in pediatric patients. Although several machine learning models have been developed for bitterness prediction, most rely on single-task learning and have undergone limited validat... read more 

Deep learning-enhanced zero echo time MRI for femoral cortical bone quantification: A technical validation against CT.

Magnetic resonance imaging
This study compared quantitative measurements of femoral cortical bone between zero echo time magnetic resonance images (oZTEo) and computed tomographic (CT) images as proof-of-concept for algorithm performance in subjects referred to our clinic for ... read more 

Exploration peptide-GPCR specificity beyond homology and tertiary structure: computational insights into deorphanization and molecular mechanisms.

General and comparative endocrinology
Peptide-responsive G protein-coupled receptors (GPCRs) play pivotal roles in a wide variety of physiological regulatory systems in animals. Despite the substantial expansion of the GPCR and endogenous peptide repertoire identified through large-scale... read more 

Deep learning-based multi-class classification of cutaneous lesions for dermatological assessment.

Cutaneous and ocular toxicology
BACKGROUND: Skin cancer is one of the most common malignancies worldwide, and early detection is essential for improving treatment outcomes and reducing mortality. Conventional diagnostic approaches rely on visual examination and dermoscopic analysis... read more 

Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.

Renal failure
The purpose of this review is to summarize the most influential and conceptually significant publications from the past 2 years, including substantial 2026 publications, and to identify emerging directions likely to shape xenotransplantation and rege... read more 

A diffusion-conditioned representation learning framework for disease classification in medical imaging.

BMC research notes
OBJECTIVE: Recently, deep learning models in medical imaging have undergone tremendous advancements. However, these deterministic discriminative models often tend to overfit and produce overconfident predictions. To explore a more efficient strategy,... read more 

Dual-stream feature fusion network for landslide detection.

Scientific reports
Landslides are destructive natural hazards that threaten infrastructure, ecosystems, and human settlements, particularly in mountainous regions. Although deep learning has significantly improved landslide detection from remote sensing imagery, existi... read more