AI Medical Compendium

PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.

PLoS computational biology Jun 2, 2026

Peptides are gaining prominence as therapeutic candidates due to their diverse physiological functions and structural simplicity. Although multiple computational tools exist for bioactive peptide prediction, many suffer from limitations such as non-i... read more

A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis.

PloS one Jun 2, 2026

Timely fault detection is essential for safety, product quality, and energy efficiency in advanced industrial processes. However, many existing fault diagnosis methods insufficiently exploit process structure and sensor reliability, which limits thei... read more

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

Artificial Intelligence Medical Compendium