Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.
AI tools analyze 4,592 Reddit posts on pre-cervical cancer, revealing patient concerns and community support. 📊💬
January 18, 2026
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Bridging online behavior and clinical insight: A longitudinal LLM-based study of suicidality on youtube reveals novel digital markers.
Longitudinal study links YouTube behavior to suicidality, revealing 166 topics and key digital markers. 📊💔
January 18, 2026
An AI-based algorithm for analyzing physical activity and health-related fitness in youth.
AI-driven analysis boosts youth fitness assessments: 98.448% accuracy in classification and enhanced performance predictions. 📊🤖
January 18, 2026
Enhancing Developmental Language Disorder Identification with Artificial Intelligence: Development of an Explainable Screening App Using Real and Synthetic Data.
AI-driven app enhances DLD identification, showing high concordance with clinical diagnoses. Key linguistic markers analyzed. 📊🤖
January 17, 2026
Leading large language models on a periodontology knowledge test.
Large language models show 65% accuracy in periodontology tests, lacking reliability for clinical decision support. 📊🦷
January 17, 2026
Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study.
AI in Psychiatry Training: 10 trainees improved NLP confidence from 1.35 to 2.79! 📈💻 #DataScienceEducation
January 17, 2026
[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].
AI and robotics in medicine: Transforming practices with ethical challenges. Key principles: transparency, shared responsibility, legitimacy. 🤖⚕️
January 16, 2026
Effects of Artificial Intelligence Recognition-Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial.
AI telerehabilitation boosts exercise capacity in hypertension patients: 62.77m improvement in 6MWD after 8 weeks! 📈💪
January 16, 2026
Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.
AI clusters trauma patients into three phenotypes, revealing 93.1% mortality in T-1 group. Key for emergency care! 🚑📊
January 16, 2026
Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.
Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖
January 15, 2026