Winners of the 2025 Digital Health Awards Announced
2025 Digital Health Awards winners announced! 🏆 Recognizing leaders in healthcare innovation and digital transformation. 🌐
Accuracy and Time Efficiency of Artificial Intelligence-Driven Tooth Segmentation on CBCT Images: A Validation Study Using Two Implant Planning Software Programs.
AI-driven tooth segmentation on CBCT images shows 0.27 mm accuracy, improving efficiency over manual methods. 📊🦷
AI System Identifies Early Osteoporosis Indicators from X-Ray Images
AI system detects early osteoporosis signs from X-ray images, improving diagnosis and screening efficiency. 🦴📸
An academic evaluation of ChatGpt’s ability and accuracy in creating patient education resources for rare cardiovascular diseases.
ChatGPT's accuracy in rare cardiovascular disease education is limited; expert review shows redundancy and incomplete answers. 📉💔
Concerns Over AI Chatbots as Alternatives to Therapists
AI chatbots may not be safe substitutes for therapists, showing inadequate responses and potential harm in mental health support. 🧠⚠️
The human touch in AI: optimizing language learning through self-determination theory and teacher scaffolding.
AI in language learning boosts motivation and proficiency, especially with teacher support. Key findings from a recent study! 📚🤖
New NHS App Feature Connects Patients with Charities for Support
New NHS App feature connects patients with charities for support 🤝. Aimed at enhancing care for long-term health conditions. 🏥
The rise of unmanned gyms: innovation, spatiotemporal characteristics, and the future of urban fitness.
Unmanned gyms leverage IoT & AI for 24/7 access, addressing urban fitness needs. Future trends focus on sustainability & user engagement. 🏋️♂️📈
Numan Raises $60 Million to Expand Digital Health Services
Numan secures $60 million to enhance digital health services, focusing on female health and expanding patient care. 💰👩⚕️
CD79A and GADD45A as novel immune-related biomarkers for respiratory syncytial virus severity in children: an integrated machine learning analysis and clinical validation.
New biomarkers CD79A & GADD45A linked to RSV severity in children. Machine learning reveals critical immune insights. 📊🦠