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Amid global workforce shortages and an ever-growing volume of data, Hal Wolf, HIMSS president and CEO, says AI tools can support clinical decision-making, but that caution is needed to ensure that they are used responsibly.
M42's Dr. Maaz Shaikh says the company "co-creates" its AI-powered technology with input from clinical users to ensure that the tools improve experiences for patients and clinicians.
Saad Alhuzami of the Kingdom of Saudi Arabia's Ministry of Health discusses how the Kingdom is leveraging AI-powered screenings for chronic diseases and creating digital twins that reflect patients' medical histories and risk factors.
From retinal scans to aging clocks, AI is likely to shift healthcare from reactive treatment to proactive prevention, especially in aging populations, says Andrew Steele, author of "Ageless: The New Science of Getting Older Without Getting Old".
As Europe builds solid frameworks for reimbursing digital therapeutics, the next challenge lies in clinician training, patient engagement, and embedding DTx into everyday care, says Louisa Stüwe from the French Ministry of Health.
After studying and working in the U.S., Dr. Ajlan Al Zaki of Burjeel Hospital says he returned to the UAE with a mission: manufacturing CAR T-cell therapies locally to make them more affordable for cancer patients.
From initial data governance to pilot projects, a lot goes into a successful health AI initiative, says Tjasa Zajc, special advisor for content at HIMSS, who previews the conference, which is scheduled for 10-12 June in Paris.
The conference takes place 10-12 June in Paris. HIMSS CEO Hal Wolf offers a sneak peek, with a look at the current technology and policy landscape on the continent for AI and other healthcare IT applications.
Training AI on narrow or biased datasets leads to real-world harms like misdiagnosis and unequal treatment, says Jessica Morley, Jessica Morley, postdoctoral research associate at Yale University's Digital Ethics Center.
Oracle Health's Romel Khalife says the company's new EHR incorporates AI to simplify documentation, guide care for clinicians and make it easier for patients to schedule appointments and understand lab results.
Synthetic data can support bias correction, but clear validation standards for fidelity, usability and privacy must first be established, says Steffen Hess, Health Data Lab head at Germany's Federal Institute for Drugs and Medical Devices (BfArM).
Dr. Tamara Sunbul, chair of HIMSS Middle East Community and a digital health transformation and innovation strategic advisor, highlights HIMSS Executive Summit in Dubai that will focus on the promise of AI and creating a future-ready workforce.