Discover the newest research about AI innovations in 🛌 Palliative Care.
Machine learning predicts cancer treatment outcomes using smartphone step counts. 📱🚶♂️ AUC for hospitalizations: 0.88! 📊
DarioHealth partners with GreenKey Health to improve sleep health solutions. The collaboration focuses on obstructive sleep apnea management. 💤🤝
AI in Palliative Care: 246 studies, 45 countries, key trends in machine learning & quality of life enhancement. 📈🤖
AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. 📸🧬
Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! 💤📊
Palliative care documentation trends in metastatic cancer reveal weakening lexical associations over time. 📉🩺
AI in Palliative Care: 80% of Bereaved Families Seek Symptom Management Solutions 🤖💔
Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. 📊💡
Innovations in orthognathic surgery enhance precision and outcomes. Key advancements include AI, 3D imaging, and virtual planning. 🦷✨
Subacute Sclerosing Panencephalitis: SSPE’s global incidence, pathogenesis, and treatment options. 🧠📉
