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Dr. Susan LeFrancois (left), assistant professor at Florida Polytechnic University, moderates a panel discussion about the intersection of artificial intelligence and healthcare on March 28. Panelists are, from left, Dr. Aleksandra Karolak, assistant professor of machine learning at Moffitt Cancer Center; Dr. Issam El Naqa, professor and founding chair of the Department of Machine Learning at Moffitt Cancer Center; Dr. Youstina Bolos, podiatric surgeon at Florida Orthopaedic Institute; and Yasar Can Kakdas, a Florida Poly graduate student.

Expert panel examines AI’s potential and challenges in healthcare

March 29, 2024

Leaders in healthcare and cutting-edge technology led a public panel discussion about the intersection of artificial intelligence (AI) and healthcare at Florida Polytechnic University on Thursday, March 28.

The event, hosted by the University’s Office of Public Policy Events (OPPE), was held in the Barnett Applied Research Center and was moderated by Dr. Susan LeFrancois, assistant professor of data science at Florida Poly.

Among the panelists was Dr. Issam El Naqa, professor and founding chair of the Department of Machine Learning at Moffitt Cancer Center, whose research focuses on AI applications in cancer. He said making sense of the vast amount of patient-related information now available to researchers like him is a huge undertaking when using traditional techniques.

“When you start dealing with very complex data like this, this is where AI shines,” he said.

Joining him on the panel were Dr. Aleksandra Karolak, assistant professor of machine learning at Moffitt Cancer Center; Dr. Youstina Bolos, podiatric surgeon at Florida Orthopaedic Institute; and Yasar Can Kakdas, a Florida Poly graduate student.

Bolos said she uses AI in her daily work as a physician when building patient visit notes.

“The idea behind our implementing AI technology was that we see a lot of patients with complex disorders, and we want to make sure we’re not missing anything they’re telling us,” she said. “AI helps make sure the patient’s voice is heard in the dictation.”

This not only makes the record more accurate but also saves on the employee costs to do the job manually, Bolos added.

However, the use of AI also has its shortcomings, the panelists said. These include limitations of AI models that stem from insufficient or incomplete data on which the model is trained.

Bolos said one of the challenges she faces in her practice is the need to override the AI’s patient diagnosis, which is often incorrect.

“That takes my time and causes inefficiency and frustration there,” she said. “We hope eventually technology will match the right diagnosis, but it’s not there yet.”

 

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Session Details

This session will demonstrate that practical risk management is for everyone, regardless of a formal program. Attendees will learn actionable and simple strategies that are easy to implement, enabling them to start immediately by focusing on their top risks to build greater operational resilience and ensure the sustained success of their auxiliary enterprises.

Presenter Profile

Michelle Powell serves as the pioneering Risk Manager at Florida Polytechnic University, the state’s sole 100% STEM-dedicated institution. Having been with the university for nearly 11 years, Michelle transitioned from a leadership role in Admissions in October 2023 to establish and evolve the risk management function from the ground up. In this solo capacity, Michelle builds robust frameworks for our dynamic, young university, overseeing our insurance portfolio, consulting on third-party and event risks, and developing critical campus-wide training programs. Michelle has obtained the Committee of Sponsoring Organizations (COSO) Enterprise Risk Management certificate and the Associate in Risk Management (ARM) and Construction Risk and Insurance Specialist (CRIS) designations. Her distinct background in mathematics and engineering, combined with extensive higher education leadership, brings an analytical and strategic approach enhancing the institution’s resilience.