AI Medical Compendium

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

JMIR mental health Jul 19, 2026

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

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

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jul 19, 2026

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 Jul 19, 2026

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 Jul 19, 2026

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

Predictive modeling of fluid status in hemodialysis: model development and internal validation using the MONitoring dialysis outcomes (MONDO) global database.

Renal failure Jul 19, 2026

BACKGROUND: Optimized fluid management is crucial in dialysis care because extracellular volume overload drives adverse cardiovascular outcomes. At the same time, comorbidities such as inflammation and protein energy wasting lead to decreased muscle ... read more

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

Cutaneous and ocular toxicology Jul 19, 2026

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 Jul 19, 2026

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 Jul 19, 2026

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

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

Scientific reports Jul 19, 2026

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

Model evaluation for automated scoring of electropenetrography waveform data from mosquitoes.