AI Medical Compendium

Role of lactic acid-mediated ALKBH5 in depression induced by blue light exposure at night.

Ecotoxicology and environmental safety Feb 23, 2026

Artificial light at night (ALAN) has been classified as a significant environmental endocrine disruptor. Excessive exposure to ALAN has associated with an increased risk of depression. With the extensive use of high-density blue light LED screens, th... read more

Environmental toxicant exposure and diabetes risk: An exposome-wide association study integrating mixture effects and molecular mechanisms.

Ecotoxicology and environmental safety Feb 23, 2026

Environmental toxicant exposure has emerged as a potential contributor to diabetes, yet systematic investigations integrating multiple chemicals and biological mechanisms remain limited. This study employed a hypothesis-generating, exposome-toxicogen... read more

Living on the flood line: Constructing and validating a combined multidimensional resilience index for rural riverine floodplain communities.

The Science of the total environment Feb 23, 2026

Resilience analysis is crucial for developing interventions that mitigate riverine flood risk in the context of global environmental change and sustainable development. Index-based assessment remains the dominant methodological approach for operation... read more

Generative AI in EFL contexts: Q-methodological analysis of cognitive dissonance patterns and self-regulation strategies among Chinese tertiary learners.

Acta psychologica Feb 23, 2026

Generative Artificial Intelligence (GenAI) has recently attracted growing attention in English as a Foreign Language (EFL) education, offering opportunities for personalised learning and efficiency gains. Yet, alongside these benefits, learners also ... read more

"I prefer to stay within my comfort zone": Exploring the causes and solutions of Iranian and Turkish EFL teachers' AI adoption reluctance.

Acta psychologica Feb 23, 2026

Research on Artificial Intelligence (AI) and second/foreign language (L2) education has recently become a flourishing line of thinking. However, the psycho-affective states of teachers regarding AI tools have received insufficient scholarly attention... read more

End-to-end integrative segmentation and radiomics prognostic models for risk stratification of high-grade serous ovarian cancer: a retrospective multicohort study.

The Lancet. Digital health Feb 23, 2026

BACKGROUND: Valid stratification factors for patients with epithelial ovarian cancer are still lacking and individualisation of care remains an unmet need. Radiomics derived from routine contrast enhanced CT (CE-CT) is an emerging, highly promising a... read more

Machine Learning Integration of MRI Intratumoral and Peritumoral Radiomics Features for Predicting PNSTs Postoperative Complications.

Academic radiology Feb 23, 2026

RATIONALE AND OBJECTIVES: Postoperative complications (15-76%) substantially affect patients with peripheral nerve sheath tumors (PNSTs), yet objective preoperative risk tools are lacking. Magnetic resonance imaging (MRI) radiomics has focused mainly... read more

Training for the unknown: Artificial intelligence-driven early detection of pancreatic cancer.

Diagnostic and interventional imaging Feb 23, 2026

Nurse educators' experiences integrating artificial intelligence in teaching and practice: A descriptive phenomenological study.

Nurse education today Feb 23, 2026

BACKGROUNDS: Artificial intelligence (AI) is rapidly reshaping nursing education by transforming teaching strategies, student engagement, and clinical learning. Despite its growing influence, there is limited evidence exploring how nurse educators ex... read more

Artificial Intelligence Medical Compendium

Integrative computational and experimental analysis identifies MEK-mediated carcinogenic effects of bisphenol A and diethyl phthalate in head and neck cancer.