Artificial Intelligence
Sen. Mark Warner has questions for Alphabet CEO Sundar Pichai about Med-PaLM 2, a chatbot currently being piloted at the Mayo Clinic and elsewhere. "I worry that premature deployment of unproven technology could lead to the erosion of trust," he says.
The group – whose ransom note reportedly mimics a customer support ticket – may use a phishing attack to breach health systems' networks or drop payloads across compromised systems after first deploying Cobalt Strike or other frameworks.
The Mayo Clinic Platform president sees huge potential for artificial intelligence and machine learning, but also recognizes its risks and limitations. The longtime health IT pioneer offers insights into the projects and use cases he's most excited about.
That said, despite its current limitations – it will never replace "empathy, listening, respect, personal preference" – it's clear artificial intelligence is leading to fundamental changes in care delivery, says the IT innovator, who predicts "doctors and nurses who use AI will replace doctors and nurses who don't."
Browse through the very latest case study stories from Healthcare IT News, stories that show how provider organizations are putting all kinds of technologies to use – and achieving significant results.
Marinez, who comes to the health system from Intermountain, will partner with leaders throughout to empower data-driven strategies that improve patient care, reduce costs and support growth.
CHAI cofounder Dr. Brian Anderson, chief digital health physician at MITRE, discusses the collaborative's Blueprint for Trustworthy AI Implementation and the importance of testability, transparency and usability.
Together, they'll develop strategies to promote reliability, transparency and safety for LLMs and other generative artificial intelligence models, said Dr. Jeffrey Ferranti, Duke Health's chief digital officer.
The Frontier Model Forum will identify best practices for responsible AI development, including supporting the creation of applications geared toward early cancer detection.
Dr. Mohammed Saeed from the University of Michigan Medical School discusses how the artificial intelligence tools can help improve provider practice patterns, potentially shielding patients from the harms of inappropriate or unnecessary care.