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(Sponsored) CEO envisions a global ecosystem that shifts healthcare from diagnose and treatment to wellness and prevention.
(Sponsored) Montreal-based software startup Imagia is expanding AI into cancer research, says Chief Technology Officer Florent Chandelier.
Building AI for a diverse population requires excellent data, say Dr. Art Papier, CEO of VisualDx, and Dr. Nada Elbuluk, the company's director of clinical impact.
Dr. Anthony Chang, chief intelligence and innovation officer at CHOC and founder of AIMed, discusses how machine learning is transforming imaging, decision support, clinical workflow, physician-patient interaction and more.
Whether addressing gaps in care, building dashboards for capacity planning or tackling fraud, waste and abuse, healthcare providers depend on data now more than ever, says Sue Willman, SVP and GM of Pharmacy and Data & Analytic Services at EXL.
Dr. David Rhew, chief medical officer and VP of healthcare at Microsoft, discusses how automation can help manage high patient call volumes, unwieldy medical device data and daily employee health screening.
Julia Hu, founder and CEO of Lark Health, discusses why virtual care may be the way of the future for treating diabetes.
Top Stories: With lockdowns and social distancing requirements in place, accessing care remotely is changing the way healthcare does business, and consumers are noticing.
Medicomp made early coronavirus-specific changes to its database and AI engine as the pandemic took hold in February – CEO Dave Lareau explains how the company has continued to innovate since then.
In this episode of The Alessi Agenda, Dr. Nathalie Bloch of the ARC Innovation Center at Sheba Medical Center, Israel, discusses the use of AI in dealing with COVID-19 patients, among various other innovative tools.
How to integrate AI into patient communication in ways that enhance and personalize the patient experience, and develop communication and access strategies that strengthen the patient-provider relationship.
Deep Dive: From clinical decision support to revenue cycle to cybersecurity, machine learning algorithms are already transforming healthcare – but so much depends on how they're implemented.