Allowing natural language processing to pore over disparate data stored in electronic health records, researchers in Canada have shown the AI-based technology can reveal real-world experiences and outcomes of patients with stage III breast cancer.
NIH funding opportunities remain numerous for innovators who apply evidence-based medical science to their proposals for smartphone apps, and the agency isn’t hesitant to get behind AI-based approaches.
A Harvard-affiliated academic data science center is partnering with a major manufacturer of portable ultrasound systems to boost the diagnostic powers of point-of-care ultrasound, aka “POCUS,” using AI.
In the wake of Alexa’s success at gaining HIPAA-compliant medical skills, AI developers are working to offer smart speakers that do everything from warning homebound people they’re having a heart attack to taking clinical notes for physicians during patient visits.
AI and deep learning can extract molecular markets of breast cancer from tissue morphology and assist pathologists in a mass-scale molecular profiling, according to new research published in JAMA Network Open.
Plastic surgeons can apply “emotional AI” algorithms to social media as a way of predicting which specific services will bring in business, according to a study running in the August edition of Plastic and Reconstructive Surgery.
The venture arm of 32-hospital UnityPoint Health is partnering with VIDA Diagnostics, investing $1 million to fine-tune and broaden the use of VIDA’s AI software for flagging signs of trouble in lung images.