AI Medical Compendium

Continuing Excellence in Maternal-Child Health Nursing: The Future With Artificial Intelligence Technology.

Journal of advanced nursing Feb 18, 2026

Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed Tomography.

Journal of neurotrauma Feb 18, 2026

Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshall and Rotterdam score, provide an incomplete description of intracranial lesion burden, rely on time-consuming manual assessments by experts, and are ... read more

Carbon dot nanoparticles as multifunctional fluorescent probes: from tunable synthesis to biomedical applications.

Journal of materials chemistry. B Feb 18, 2026

Carbon dots (CDs) have emerged as highly promising fluorescent nanomaterials due to their exceptional optical properties, biocompatibility, and facile synthesis. These attributes position them as versatile platforms for bioimaging, biosensing, and di... read more

Looking back to the future of psychiatry: reflections on an international sojourn.

International review of psychiatry (Abingdon, England) Feb 18, 2026

Psychiatry's metamorphosis continues to evolve over time as concepts of the brain's neuronal function and the complexity of the mind interact with rapid growth in technological innovations. Paradoxically, some of these innovations are leading to pers... read more

Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation.

Biomarkers in medicine Feb 18, 2026

BACKGROUND: Glioblastoma (GBM) is a highly aggressive form of brain tumor with poor prognosis. This study aimed to identify genes critical to glioma development and assess their potential diagnostic and therapeutic value through an integrated analysi... read more

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus.

Journal of diabetes investigation Feb 18, 2026

BACKGROUND: Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of this study was to construct and validate prediction models for diabetes distress in adults with T1DM using continuous glucose monitoring (CGM) metric... read more

An AI-assisted hyperbranched RCA-based colorimetric biosensing platform for ultrasensitive detection of BPA.

Journal of materials chemistry. B Feb 18, 2026

Bisphenol A (BPA), a common industrial chemical and endocrine disruptor, poses serious health risks, highlighting the need for sensitive detection methods. We developed an artificial intelligence-assisted colorimetric biosensor integrating aptamer-ta... read more

Evolving Minds: Natural Learning vs. Artificial Learning in Ophthalmology Training.

Turkish journal of ophthalmology Feb 18, 2026

OBJECTIVES: This study aimed to compare year-over-year change in ChatGPT's performance on nationwide ophthalmology exams with the performance change among residents over the same period. MATERIALS AND METHODS: This observational study included ophtha... read more

Sustainable Ophthalmology Applications: From the Perspective of Strabismus and Pediatric Ophthalmology.

Turkish journal of ophthalmology Feb 18, 2026

Ophthalmology significantly contributes to the healthcare sector's carbon footprint. Despite recent increases in sustainability research in ophthalmology, there remains limited information on initiatives specific to pediatric ophthalmology and strabi... read more

Too good to be true: Synthetic AI faces are more average than real faces and super-recognizers know it.

British journal of psychology (London, England : 1953) Feb 18, 2026

The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super-recognize... read more

Artificial Intelligence Medical Compendium