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.
Artificial intelligence and stroke imaging.
AI enhances stroke imaging, offering personalized care through advanced models. Challenges remain in real-world application. 🧠💡
Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review.
AI in medicine needs robust guidelines. Our review highlights challenges in applicability and development rigor. 🩺🤖
AI in Healthcare: Progress and Challenges Ahead for 2025
AI is advancing in healthcare, presenting both opportunities and challenges for 2025. 🤖💉
Analyzing the TotalSegmentator for facial feature removal in head CT scans.
Facial recognition in head CT scans raises privacy concerns. Our review of the TotalSegmentator highlights its effectiveness in defacing images. 🧠🔍
NHS Lothian Introduces AI-Driven Physiotherapy Clinic Pilot
NHS Lothian launches AI physiotherapy clinic, Flok Health, improving access to care for nearly one million patients. 🤖💪