Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
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....
NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model
NeuroFlow has acquired Intermountain Health's behavioral health analytics model, enhancing patient care through improved...
Machine learning applications in healthcare clinical practice and research.
Machine learning is transforming healthcare. 🤖 This article reviews its impact on clinical practice...
Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.
Artificial intelligence shows promise in enhancing gastrointestinal cancer care through improved data analysis and...
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. 🩺📊...
Artificial intelligence and stroke imaging.
AI enhances stroke imaging, offering personalized care through advanced models. Challenges remain in real-world...
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...
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...