
Identifying Kidney Stone Risk Factors Through Patient Experiences With a Large Language Model: Text Analysis and Empirical Study.
Kidney stone risk factors identified via patient experiences: 95.9% accuracy using AI analysis of 11,819 comments. 💧🍽️
Discover the newest research about AI innovations in 🥗 Nutrition.
Kidney stone risk factors identified via patient experiences: 95.9% accuracy using AI analysis of 11,819 comments. 💧🍽️
WellTheory secures $5 million for AI tools in autoimmune care. New features enhance personalized support for patients. 🤖💰
Omada Health files for IPO with SEC, focusing on chronic care management. Revenue growth noted, but net losses persist. 📈💼
Oura Ring and Dexcom’s Stelo CGM collaborate for improved metabolic health tracking, offering meal insights and glucose data. 📊🍽️
AI’s role in fatty liver disease: 270 studies reveal diagnostic advancements, personalized therapies, and gene analysis potential. 📊🧬
Machine learning predicts weight loss success post-gastric sleeve surgery with 88% accuracy. Key factors: potassium, BMI, depression scores. 📊💡
Artificial intelligence is transforming precision nutrition. 🤖🍏 Recent studies highlight its potential and address cultural factors.
New NHS self-referral service for weight loss medications aims to manage rising demand. Over 375 patients registered already. 📈💊
AI-driven model enhances diagnosis of pulmonary nodules. 🤖📊 Study shows promise in distinguishing benign from malignant cases.
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨