
Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey.
AI in Palliative Care: 80% of Bereaved Families Seek Symptom Management Solutions 🤖💔
Discover the newest research about AI innovations in 🛌 Palliative Care.
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. 🧠📉
Neuranics secures $8 million for magnetic sensing technology, enhancing gesture recognition and heart signal tracking. 🧠💰
AI is transforming stroke rehabilitation, offering customized treatments and real-time monitoring. Challenges like data security remain. 🤖🧠
Surgeons face emotional challenges from patient deaths. Our review highlights the need for support to prevent burnout and ensure safety. ⚕️💔
AI-driven model enhances diagnosis of pulmonary nodules. 🤖📊 Study shows promise in distinguishing benign from malignant cases.
Voice recognition in palliative care shows promise for capturing patient-reported outcomes. 📊 Further research needed for improved accuracy. 🗣️
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨