Clinical
The new telesurgery service in Central Queensland will also accelerate the training and upskilling of surgical residents and trainees.
The Peter Doherty Institute for Infection and Immunity says it is now possible to track bacterial evolution in clinical settings in near real time.
It initially supports personalised cancer treatment based on the hospital's big clinical and genomic data.
Four FQHCs and one community hospital are learning from each other as they navigate various artificial intelligence implementations. Leaders from the Health AI Partnership will discuss their experiences at the HIMSS AI in Healthcare Forum in July.
Gleneagles Hospital Hong Kong adopts LLM-based clinical solutions for new day centre and more briefs
Also, a new centre for excellence in AI in healthcare will be set up by two public universities in India.
The AI, trained on around 13,000 fundus images from over 600 Alzheimer's patients, has demonstrated up to 92% accuracy.
AI & ML Intelligence
Dr. Natalie Pageler, CHIO at Stanford Medicine Children's Health, discusses some factors for artificial intelligence deployments in this complex care modality and describes how applications such as ambient AI differ in pediatric and adult settings.
Punit Soni, CEO and founder of Suki, predicts tech will become more invisible – and more "human" – and will make the healthcare experience more frictionless for patients and providers.
M42's Dr. Maaz Shaikh says the company's open-source Med42 LLM, trained on public rather than patient data, can be deployed for multiple use cases and is compliant with many global security standards.
While a diagnostic decision support engine outperformed ChatGPT and Gemini at ascertaining disease in a new Mass General Brigham study, generative artificial intelligence models also performed well, suggesting potential synergistic benefits.