Integrated biopsychosocial signatures: moving beyond isolated biomarkers to predict, prevent, and treat persistent pain.
Exploring integrated biopsychosocial signatures for persistent pain: a holistic approach to treatment and prevention. 🧠💊
AI-Enhanced Wearable Device Accelerates Wound Healing
AI-Enhanced Wearable Device Speeds Up Wound Healing 🩹🤖. The "a-Heal" device uses AI and bioelectronics for personalized treatment.
“It’s like having that supervisor in the room”: Examining AI as a reflective partner.
AI enhances clinician reflection, improving care quality. Study shows 17 clinicians benefited from GAI note-taking. 📈🧠
Addressing the Challenges of AI in Healthcare
AI in healthcare faces challenges like data integration and scalability. Future agentic AIs must prioritize transparency for patient safety. 🏥🤖
Sphenoid sinus hyperpneumatization: anatomical variants, molecular blueprints, and AI-augmented roadmaps for skull base surgery.
Sphenoid sinus hyperpneumatization impacts surgical safety; AI and advanced imaging enhance precision in skull base surgery. 🧠🔍
AI Tool Accurately Differentiates Glioblastoma from Similar Brain Tumors During Surgery
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. 🧠🔍
Foreign body removal.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. 🩺🔍
Non-invasive assessment techniques for renal fibrosis: advances and perspectives.
Non-invasive renal fibrosis assessment: AI, biomarkers, and imaging techniques show promise for CKD diagnosis. 📊🩺
Emerging concepts in the diagnosis and management of metabolically associated steatotic liver disease.
Emerging strategies for diagnosing and managing MASLD: noninvasive methods, novel therapies, and personalized approaches. 🩺📊
Predicting Negative Self-Rated Oral Health in Adults Using Machine Learning: A Longitudinal Study in Southern Brazil.
Machine learning predicts negative self-rated oral health in adults with 16.6% prevalence. Key predictors include socioeconomic status and anxiety. 📊🦷