AI & ML Intelligence
Dr. Ronald Rodriguez, co-founder of the nation's first MD/MS in artificial intelligence dual degree, offers warnings and solutions for generative AI privacy errors, skyrocketing AI usage costs, and AI correcting mistakes resulting in different errors.
At HIMSS25, Gen. Paul Nakasone, former director of the National Security Agency, said the unique challenges and opportunities of artificial intelligence in healthcare mean, "we all must be willing to take a few microsteps."
Artificial intelligence tools have helped the organization get 100% of outpatient surgeries and 50% of inpatient surgeries opioid-free, says Dr. Zafar Chaudry. AI is helping with stroke prevention, too.
Dr. Zafar Chaudry says artificial intelligence can deliver better patient outcomes, and he requires everyone at the hospital to take AI training. He and his team are configuring Google Gemini AI to handle some clinical use cases.
Artificial intelligence reduced scan times, sometimes by 30%-50%. Diagnostic accuracy improved. And the chances of missed diagnoses were reduced, improving patient outcomes.
Robert Connely of Pega says patching legacy systems will give way to true health IT modernization, a security breakthrough will lead artificial intelligence into routine use – and AI will make value-based care the industry standard.
The vendor will be introducing ambient listening and medical scribe technologies, and will showcase artificial intelligence that extracts data from documents in various formats and new population health tools for value-based care.
A physician AI expert and co-principal investigator of the landmark Apple Heart Study says the next wave of AI in healthcare will shift from diagnosing existing conditions to forecasting future health risks, paving the way for proactive and preventive care.
As the White House-backed project seeks to drive the evolution of artificial intelligence computational processes, demand for GPU servers may push the development of lighter-weight machine learning models, says an ICD researcher.
Glenn Wasson, administrator of analytics at the health system and a doctor of computer science, discusses a dialog between providers and vendors that can highlight sources of risk that must be understood to govern AI within an enterprise.