Winners of the 2025 Digital Health Awards Announced
2025 Digital Health Awards winners announced! π Recognizing leaders in healthcare innovation and digital transformation. π
July 20, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
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. ππ¦·
July 20, 2025
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. π¦΄πΈ
July 19, 2025
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. ππ
July 19, 2025
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. π§ β οΈ
July 19, 2025
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! ππ€
July 19, 2025
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. π°π©ββοΈ
July 18, 2025
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. ππ¦
July 18, 2025
Deep learning-based detection of depression by fusing auditory, visual and textual clues.
AI detects depression with 99.9% accuracy using audio, visual, and text clues. Promising for early intervention! π€π
July 18, 2025
PREDAC-FluB: predicting antigenic clusters of seasonal influenza B viruses with protein language model embedding based convolutional neural network.
PREDAC-FluB: A Deep Learning Approach to Predict Antigenic Clusters in Influenza B Viruses π¦ π
July 18, 2025