91看片

The ancient Greeks tried a lot of things to predict the future. They consulted oracles, cast bones, mapped celestial bodies, analyzed the flight of birds and examined the entrails of sacrificed animals for signs and omens. Over time, we鈥檝e looked to palm readers and tarot cards and tea leaves. Now, perhaps a bit more rational, we tend to trust scientists, scholars, and most recently, AI.

Two years ago, Business Analytics Associate Professor Pankush Kalgotra, with fellow researchers from Oklahoma State and the Swedish Medical Center, used an AI model they developed to digest over 45,000 medical records, looking to predict colorectal cancer in the population under age 50鈥攊ndividuals with no family history who are at potentially higher risk of the disease, even before the onset of symptoms.

And it鈥檚 not just the healthcare industry that can benefit from Kalgotra鈥檚 predictive modeling. Any industry with data sets can utilize AI (and most recently Generative AI) to uncover information that might be hidden from human eyes and predict outcomes based on that data.

Kalgotra鈥檚 next effort is the design of a virtual reality user interface that can make the interaction with complex analysis quick and comprehensible inside the virtual environment.

###

Kalgotra's original research publication: 

Kalgotra, P., Sharda, R., & Parasa, S. (2023). 鈥�Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer.鈥� .