AI Medical Compendium

Hematopoietic Stem Cell Transplant and Brain Volume Changes in Adults With Sickle Cell Disease.

Neurology May 14, 2026

BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain health and cognition, even without clinical stroke. SCD-related changes on MRI include brain atrophy and T2 fluid attenuated inversion recovery (FLAIR) w... read more

Machine Learning and Deep Learning Models for Predicting Future Falls in Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Longitudinal Evidence.

Journal of medical Internet research May 14, 2026

BACKGROUND: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall detection, in-hospital falls, or conventional statistical models. The performance of ML-DL-based models... read more

A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study.

JMIR research protocols May 14, 2026

BACKGROUND: Eligibility criteria are essential to clinical trial design, guiding recruitment, and ensuring patient safety and scientific rigor. However, criteria are often lengthy, heterogeneous, and inconsistently formatted, which hinders large-scal... read more

HIV and Substance Use Reduction for Youth Experiencing Homelessness: Development and Usability Study.

JMIR formative research May 14, 2026

BACKGROUND: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, and behavioral factors. Despite increased mobile phone access among youth experiencing homelessness,... read more

Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician's Tardive Inventory: Validation Study.

JMIR mental health May 14, 2026

BACKGROUND: Tardive dyskinesia (TD) is a common, often underrecognized movement disorder resulting from long-term antipsychotic use, yet its detection in routine mental health care remains inconsistent despite the availability of structured rating sc... read more

Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching.

Journal of medical Internet research May 14, 2026

BACKGROUND: Extracting medical knowledge for secondary purposes, such as diagnostic support, continues to pose a substantial challenge. Conventional named entity recognition has focused on short terms (eg, genes, diseases, and chemicals), whereas ext... read more

From debris to data: benchmarking state-of-the-art computer vision models for intelligent valorization of construction and demolition waste.

Waste management (New York, N.Y.) May 14, 2026

Automating construction and demolition waste (CDW) sorting remains difficult because materials vary widely in shape, scale, appearance, and often occur in heavy clutter. Existing datasets fall short of capturing this complexity, which limits the reli... read more

Application of a conversational AI system for voice-interactive history taking in neurosurgical patients.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia May 14, 2026

BACKGROUND: ccurate and structured medical history taking is essential in neurosurgical practice, but repetitive inpatient interviews can be time-consuming for both clinicians and patients. Recent advances in conversational artificial intelligence (A... read more

Global near-surface methane distribution and emission hotspots from TROPOMI: A geospatial machine-learning approach.

The Science of the total environment May 14, 2026

Methane (CH4) is a major greenhouse gas; however, the global information on its near-surface distribution and emission hotspots remains sparse. Although satellite instruments provide column-averaged CH4 (XCH4), the link between these and surface-leve... read more

Investigating AI competence among Chinese secondary school teachers: Insights from the UNESCO framework.

Acta psychologica May 14, 2026

This study adopts a quantitative research design employs the UNESCO Teacher AI Competency Framework to assess and validate the artificial intelligence (AI) competencies of secondary school teachers in China. A questionnaire was developed based on the... read more

Artificial Intelligence Medical Compendium