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Generative AI is enabling a "revolution" in automated decision support and helping physicians make better diagnoses for complex cases, says Dr. Ryan Sadeghian, chief medical information officer at University of Toledo.
According to Philip Gribbon and Dr Christian Muehlendyck, Europe's IDERHA initiative, set to go live in 2026, will guide users to data sources so they can collaborate to safely test AI algorithms without moving the data.
The health system's Chief Nursing Officer Duane Perry talks about how smart rooms are redefining the role of the bedside nurse and how he and his team plan to prevent tech fatigue among staff to ensure the investment continues to deliver value.
As Europe implements the AI Act, HealthAI CEO Dr Ricardo Baptista Leite discusses the challenges around regulating AI tools not classified as medical devices, such as those used for drug discovery and population health.
In an evolving cyber threat landscape, Cleveland Clinic London's Nana Odom believes health systems must train staff on security principles and partner with vendors to secure medical devices and protect patients' data.
Use of artificial intelligence to translate patient chart notes into a reader-friendly format is showing promise, says Dr. Jonah Zaretsky, medical director at NYU Langone Hospital Brooklyn.
The Dubai Health Authority's Dr Mohammad Al Redha says the next steps in its digital health journey are enabling easier access to imaging data and establishing a sandbox environment to encourage development of new digital tools.
MedSecurance's Miroslaw Malinowski and Konstantinos Katzis say that helping IoMT device manufacturers ensure that their tools store and transmit data securely will encourage their use by patients and clinicians.
Laura Cooley, editor in chief of Journal of Patient Experience, says many patients are skeptical of artificial intelligence, and work must be done to overcome that in order to unlock its benefits for their healthcare experience.
The SheHer app, which enables women to find healthcare content and medical professionals, is being translated for global use. Cofounder Mariatheresa Kadushi says it will also collect data that can train AI to help reduce bias.