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Harrisburg, PA — Architecture & Governance Magazine has published an interview featuring Roozbeh Sadeghian, PhD, Director of the Data Analytics Institute and Associate Professor and Program Lead of Analytics at Harrisburg University of Science and Technology (HU). In it, Dr. Sadeghian shares his thoughts on the maturation of artificial intelligence (AI) and machine learning (ML) — with a focus on AI healthcare and how these technologies can improve patient outcomes and advance research efforts throughout the healthcare industry.

“We see huge social impacts from AI in healthcare – in the data we’ve collected regionally in Pennsylvania, for example. Many rural areas have insufficient access to medical procedures. AI will impact society through both safety and convenience. Everybody has smartphones now; why not have the doctor in your hand? A cultural shift is underway…

“The general awareness that I see coming together is probably the most important part. People used to see AI as something threatening … but we’re working in real-time to convince students, researchers, instructors, and companies. We need more people to communicate about these subjects and bridge the gap between cutting-edge AI research and the parties helping commercialize the technology.”

Dr. Sadeghian is doing his part. He references smartphones because he’s spent a great deal of time studying the game-changing potential of consumer-level technologies, like handheld phones, when coupled with advanced algorithms, machine learning, and AI. He has published multiple papers on this subject, including:

In both cases, the goal was to use something familiar – smartphones and cameras – to create new, streamlined, noninvasive screening experiences for patients that support long-term health and can be deployed in a variety of settings.

This AI healthcare research is relevant because, now more than ever, we must learn to do more with less.

The US Department of Health and Human Services acknowledges massive underinvestment in America’s health system that has left 30 million individuals in underserved areas without reliable access to healthcare. Moreover, the US Government Accountability Office estimates that more than 100 rural hospitals closed between 2013 and 2020, resulting in patients traveling 20 more miles for inpatient care and 40 more miles for specialist services.

You can read “AI in Healthcare: Bridging the Gap Between Proof and Practice” in full right now.

And don’t forget to learn more about Harrisburg University’s online MS in Data Analytics and the Data Analytics Institute, which is hosting a Data Analytics Summit on June 12, 2024.

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