Clinical

The AI, trained on around 13,000 fundus images from over 600 Alzheimer's patients, has demonstrated up to 92% accuracy. 

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.

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.

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.

One new tool can automate clinical registry workflows for clinicians, which reduces manual data entry. Tom Liddell, CEO of Harmony Healthcare IT, explains more.

The pros of using genAI and the challenges that require some caution, according to Rajiv Kolagani, vice president and chief data and AI officer at Ann & Robert H. Lurie Children's Hospital of Chicago.

The adoption model's requirements help ensure that health systems' infrastructure is optimized to support advanced cybersecurity and analytics capabilities, says HIMSS digital health strategist Philip Bradley.

There are more and more neurology patients – but the number of neurologists has stagnated. Dr. Robert Bermel explains how telemedicine is becoming more crucial as neurological conditions get more complex.

Meanwhile, a platform for the secure testing of generative AI has been made available to health professionals.