
Technology-Enhanced Exercise Training for Cardiometabolic Syndrome: A Scoping Review.
Exploring technology’s role in managing cardiometabolic syndrome: 19 studies reveal promising adherence and personalization benefits. ππͺ
Discover the newest research about AI innovations in π€ Machine Learning.

Exploring technology’s role in managing cardiometabolic syndrome: 19 studies reveal promising adherence and personalization benefits. ππͺ

Evaluating LLMs for orthodontic consultations: Grok-3 excels in reliability, while DeepSeek-V3 leads in readability. ππ¦·

Post-except: AI enhances BP management post-EVT, improving outcomes with AUC 0.86 vs. 0.80. Key metrics: time rate, minimum SBP. ππ

Innovative seizure prediction: 99.95% accuracy using advanced neural networks and secure cloud technology. π§ π

Enhancing SSVEP-BCI performance with Pyramid Squeeze Attention: A deep neural network approach. ππ§

AI predicts enterocutaneous fistula sepsis with 89% accuracy, integrating clinical, imaging, and transcriptomic data. ππ€

Social media policy shifts significantly impact anti-vaccine discourse, increasing tweet prevalence by 60% post-policy. ππ

AI Chatbots’ Responses on MOGAD: Quality Varies Significantly ππ€

Exploring AI’s impact on scientific authorship and responsibility in surgery. π€βοΈ Key insights from Matsubara’s letter.

Bayesian model predicts lung cancer survival with 71.9% accuracy, identifying age as key factor. ππ«