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It should be "always adjunctive" to clinical processes, says Dr. Ami Bhatt, chief innovation officer at the American College of Cardiology, who sees big things for decision support, patient triage, safer nuclear imaging, patient engagement and more.
Dr. Kate Eisenberg, Dyna AI senior medical director at EBSCO Clinical Decisions, discusses how responsible generative AI can enhance the accessibility and application of evidence at the point of care to support clinical decisions.
Karthik Raja, chief analytics and AI officer at Ascension, offers expert advice with his answer, and explains the bonds between analytics and AI that make each technology better.
Tennessee State Sen. Bo Watson says that states, not the federal government, are driving AI regulation with constituents in mind to balance supporting innovation with guarding the public trust.
Dr. Amina Al Jasmi talks about how Emirates Health Services is scaling AI across radiology to boost early diagnosis for TB, stroke and osteoporosis, train junior radiologists and enable proactive medicine.
CH Health Tech Advisory's Christian Hein says that AI promises a technological revolution to rival the steam engine. However, leaders must be wary of vendors who overpromise, because AI is still maturing.
Rachini Moosavi, chief analytics officer at UNC Health, explains how the provider system is moving beyond genAI to find success with RPA, agents and ambient listening. She explains why it convenes dedicated teams to help with AI enablement efforts.
Trend Micro's Fernando Cardoso recommends cybersecurity best practices for healthcare organizations pursuing AI adoption, including remediating 'shadow AI' and other data blind spots.
The recently released UpToDate Expert AI brings generative AI to clinicians at the point of care to provide treatment and diagnostic guidance, says Julie Frey, VP of product at Wolters Kluwer Health.
Dr. Hassan Tetteh, who has experience as a Navy officer, thoracic surgeon and clinical informaticist, discusses his book Harnessing Military Medicine, and how it all informs his work at the Center for Digital Health and AI at Johns Hopkins.
Sam Shah, NEOM's director of health data, says a promising use case for AI in value-based care could be in patient-facing "coaching" tools to support patients in areas such as mental health or weight management.
Dr. R. Ryan Sadeghian of the University of Toledo recommends that, rather than chasing every AI breakthrough, health systems focus on incremental wins in stable processes such as revenue cycle to achieve measurable value quickly.