AI Medical Compendium

Interpretable Machine Learning Integrates Flavor Classification with Source Attribution for Low-Salt Soy Sauce Optimization.

Journal of agricultural and food chemistry Jan 23, 2026

Low-salt soy sauce (LSS) supports healthier diets but suffers flavor defects compared with high-salt and koikuchi soy sauce (HSS, KSS). In this study, an XGBoost-SHAP-MMVec model integrating a sensory-volatiles-microbiota triomics data set was develo... read more

Expression of Concern: Data Mining-Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach.

JMIR formative research Jan 23, 2026

Cellulose Nanocrystal-Based Robotic Devices for Encrypted Information Transmission.

Biomacromolecules Jan 23, 2026

Degree of circular polarization (DOCP) of reflected light is an intriguing optical phenomenon of chiral photonic materials; however, it remains underexploited. This is especially the case with cellulose nanocrystals (CNCs), despite the fact that thei... read more

Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.

JMIR nursing Jan 23, 2026

BACKGROUND: Artificial intelligence (AI) continues to expand into nursing and health care. Many examples of AI applications driven by machine or deep learning are in use. Examples include wearable devices or alerts for risk prediction. AI tends to be... read more

Contributors: Artificial Intelligence in Gynecology.

Clinical obstetrics and gynecology Jan 23, 2026

Contributors: Artificial Intelligence in Obstetrics.

Clinical obstetrics and gynecology Jan 23, 2026

Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study.

JMIR medical informatics Jan 23, 2026

BACKGROUND: Given the highly heterogeneous biology of breast cancer, a more effective noninvasive diagnostic tool that unravels microscopic histopathology patterns is urgently needed. OBJECTIVE: This study aims to identify cancerous regions in ultras... read more

Two-Minute Deep Learning-Powered Brain Quantitative Mapping: Accelerating Clinical Imaging With Synthetic Magnetic Resonance Imaging.

JMIR medical informatics Jan 23, 2026

BACKGROUND: Quantitative magnetic resonance imaging (MRI) is an advanced technique that can map the physical properties (T1, T2, and proton density [PD]) of different tissues, offering crucial insights for disease diagnosis. Nonetheless, the practica... read more

Triaging Casual From Critical-Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study.

JMIR mental health Jan 23, 2026

BACKGROUND: This study aims to detect self-harm or suicide (SH-S) ideation language used by youth (aged 13-21 y) in their private Instagram (Meta) conversations. While automated mental health tools have shown promise, there remains a gap in understan... read more

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

Journal of medical Internet research Jan 23, 2026

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (EHR) environments; however, their introduction can disrupt existing workflows and raise patient safe... read more

Artificial Intelligence Medical Compendium