AI Medical Compendium

Readiness Assessment for AI in Nursing Care Projects: Multimethods Study.

JMIR nursing Jun 2, 2026

BACKGROUND: Integrating artificial intelligence (AI) systems into nursing care often encounters obstacles stemming from unmet requirements and insufficient engagement with well-documented sociotechnical pitfalls. Readiness models offer a systematic w... read more

Use of the Dynamic Systems Development Method to Inform Technology-Assisted Motivational Interviewing (TAMI) for Tobacco Cessation: Qualitative Study.

JMIR formative research Jun 2, 2026

BACKGROUND: Smoking continues to be a leading cause of preventable morbidity and mortality, and more than 480,000 Americans die annually due to smoking-related illness attributable to smoking and secondhand smoke. More advanced, responsive, and tailo... read more

A novel XGBoost method with entity embeddings for feature analysis and classification of traffic crash types.

International journal of injury control and safety promotion Jun 2, 2026

Crash type is an important factor in understanding crash severity, as certain types lead to higher mortality rates. Predicting crash type for specific road sections can therefore support road safety assessments. This study examines the relationships ... read more

Digital Health Apps and Web-Based Platforms to Support the Prevention and Management of Snakebite Envenoming: Scoping Review.

JMIR mHealth and uHealth Jun 2, 2026

BACKGROUND: Neglected tropical diseases disproportionately affect underserved populations, with snakebite envenoming (SBE) remaining one of the most overlooked, despite its significant global burden. Digital health applications (DHAs) offer potential... read more

Radiologist Perceptions of an AI Tool for Intracranial Hemorrhage Detection in Teleradiology: Cross-Sectional Survey Study.

JMIR human factors Jun 2, 2026

BACKGROUND: Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are increasingly integrated into radiology workflows. In real-world practice, perceived utility depends not only on diagnostic performance but also on workflow... read more

Artificial Intelligence-Driven Janus Dressing for Visual Wound Theranostics.

ACS nano Jun 2, 2026

Wound exudate contains rich biochemical markers, among which dynamic pH fluctuations serve as a key predictor of infection progression and healing prognosis. However, real-time pH monitoring remains limited by the lack of platforms enabling exudate e... read more

Confidence Measurement Metrics in Multimodal Large Language Models for Ultrasound-Based Radiology Cases: Comparative Evaluation Study of Self-Reported, Consistency-Based, and Hybrid Methods.

Journal of medical Internet research Jun 2, 2026

BACKGROUND: Large language models (LLMs) require specialized methodologies to quantify model confidence for safe deployment in health care systems; however, there is a lack of established methods for confidence assessment. OBJECTIVE: This study aimed... read more

Hybrid Modeling for Industrial Fermentation Processes with an 'Intra-Batch Experimental Design'.

Journal of industrial microbiology & biotechnology Jun 2, 2026

Successful development of a predictive digital twin or digital shadow enabling improved batch planning and process optimization of industrial fungal fermentation relies on the fidelity of oxygen transfer rate modeling. Such models depend, amongst oth... read more

Spatial omics of immunity: Mapping cellular landscapes in tissue microenvironments.

Current opinion in immunology Jun 2, 2026

The tumor microenvironment (TME) is composed of diverse heterogeneous components and plays a crucial role in immune cell infiltration, immune evasion, and dynamic interactions between tumor cells and the immune system. A precise understanding of the ... read more

From metabolic reprogramming to diagnostic tool: A machine learning framework identifies biomarkers for soil microplastic stress in rice.

Journal of hazardous materials Jun 2, 2026

As emerging environmental contaminants, microplastics (MPs) increasingly infiltrate agricultural ecosystems, threatening crop safety and productivity. While the phytotoxic effects of MPs on plants like rice are becoming apparent, a significant gap ex... read more

Artificial Intelligence Medical Compendium