Mount Sinai Health System’s New CDIO Shares Vision for Digital Strategy
Mount Sinai's new CDIO, Lisa S. Stump, outlines digital strategy goals for improved healthcare outcomes and data utilization. 📊💻
Artificial intelligence-assisted point-of-care devices for lung cancer.
AI-enhanced biosensors show promise for early lung cancer detection. 🌟 They offer user-friendly, minimally invasive options. 🩺
Data-based regression models for predicting remifentanil pharmacokinetics.
New research highlights machine learning's role in predicting remifentanil pharmacokinetics, enhancing dosage accuracy in pain management. 💉📊
AI Model Developed to Support Underserved Hospitals
AI model "BioMedGPT" aims to assist underserved hospitals by improving diagnostic accuracy and streamlining workflows. 🤖🏥
Postoperative Management of Tympanoplasty with ChatGPT-4.0.
AI in healthcare: ChatGPT-4 aids tympanoplasty recovery by providing timely, accurate postoperative guidance. 🤖💡
AI Innovations Enhance Healthcare Efficiency and Reduce Clinician Burnout
AI innovations are improving healthcare efficiency and reducing clinician burnout, enhancing patient interactions and saving costs. 🏥🤖
An emerging view of neural geometry in motor cortex supports high-performance decoding.
Recent research highlights MINT, a decoder that enhances brain-computer interface performance by aligning with neural geometry. 🧠✨
The impact of death and caring for the dying and their families on surgeons – an AI assisted systematic scoping review.
Surgeons face emotional challenges from patient deaths. Our review highlights the need for support to prevent burnout and ensure safety. ⚕️💔