A generalist medical language model for disease diagnosis assistance.
MedFound, a 176 billion parameter medical language model, shows promise in assisting disease diagnosis. 🤖💉
DIKOApp: An AI-Based Diagnostic System for Knee Osteoarthritis.
AI enhances knee osteoarthritis diagnosis with DIKOApp, achieving 89.34% accuracy. Promising tool for healthcare providers. 🦵🤖
Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation.
AI and robotics are transforming surgery, enhancing precision and patient outcomes. Key innovations address challenges in healthcare accessibility. 🤖💉
AI Enhancements in Radiotherapy for Prostate Cancer
AI is enhancing radiotherapy precision for prostate cancer, potentially improving treatment outcomes and standardizing care. 🩺🤖
The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
AI is transforming healthcare, enhancing diagnostics and treatment. Key technologies include ML, DL, and NLP. 🤖📈
Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
New AI methods can predict neurologic changes in critically ill infants using video data. 🤖👶 Promising for NICU care!
NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model
NeuroFlow has acquired Intermountain Health's behavioral health analytics model, enhancing patient care through improved data integration and risk assessment. 📊🧠
Machine learning applications in healthcare clinical practice and research.
Machine learning is transforming healthcare. 🤖 This article reviews its impact on clinical practice and research. 📊
Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.
Artificial intelligence shows promise in enhancing gastrointestinal cancer care through improved data analysis and early detection. 🤖📊
A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future.
Exploring machine learning datasets in mammography reveals challenges in data quality and interoperability. 🩺📊 Future improvements are essential for better outcomes.