
AI Technology Estimates Biological Age from Facial Images to Enhance Cancer Prognosis
AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. πΈπ§¬
Discover the newest research about AI innovations in π€ Machine Learning.
AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. πΈπ§¬
Generative AI in healthcare: 2.58% task usage, highest in patient-facing roles. Digital adoption rates vary (13.33%-65%). ππ€
Anticancer peptides show promise in targeting tumors with low toxicity. Key findings from PubMed article reviewed. π§¬π
Digital health in low-income countries evolved from SMS to apps, enhancing care access. COVID-19 accelerated this transformation. π±π
ChatGPT enhances drug harm reviews: 49% keyword recreation, 0.17 Jaccard similarity. Effective error detection tool! ππ
AI-native networking enhances healthcare by improving data flow, supporting AI applications, and addressing cybersecurity threats. π₯π»
Deep learning enhances pediatric audiometry accuracy: sensitivity up to 0.943, specificity 0.947. Real-time monitoring improves hearing assessments. ππΆ
Machine learning enhances SAPHO syndrome vs. secondary bone tumors diagnosis via WBBS: AUC 0.957, accuracy 88.3%. ππ
Exploring Human-Centered AI: 14 studies reveal design principles and health applications. π€π‘
Privia Health improves provider workflows using AI technology, addressing challenges like burnout and data management. π€πΌ