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. ππ€
January 18, 2026
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Discover the newest research about AI innovations in π€ Machine Learning.
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. ππ€
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! ππ» #DataScienceEducation
January 17, 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! ππͺ
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! ππ
January 16, 2026
AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.
AI-driven deep learning enhances ampullary lesion diagnosis: 92.2% accuracy, 83.3% sensitivity for high-grade dysplasia. ππ
January 15, 2026
Concerns Over Slow Adoption of Technology in NHS, Says Health Secretary
NHS faces challenges in adopting technology, warns Health Secretary. Slow progress may hinder efficiency and patient care. ππ»
January 14, 2026
ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering.
ViSQA: First Vietnamese Spoken Question Answering Benchmark with 13,000+ pairs, revealing ASR errors impact on performance. ππ
January 14, 2026
Echocardiographic Evaluation in Children with Post-Acute Sequelae of SARS-CoV-2 Infection Using Deep Learning.
Echocardiography in Kids with PASC: Deep Learning Achieves 96.6% Accuracy! π«π
January 14, 2026
WSSM: A Weakly Supervised Oral Mucosal Disease Segmentation Model Based on Multi-Task Collaboration.
Innovative WSSM model enhances oral mucosal disease segmentation accuracy by 6.06% using multi-task collaboration. ππ¦·
January 14, 2026