A good doctor taps into his or her experience, using all she or he has learned over a career to make an accurate diagnosis or develop a treatment plan. Imagine if a doctor could tap into information that has been gathered from thousands or millions of other similar cases.
AI allows that to happen.
“The impact of AI on early cancer detection is profound, with two areas particularly noteworthy,” Toufic Kachaamy, MD, a gastroenterologist and Chief of Medicine at City of Hope Cancer Center Phoenix. “First, AI's capability to synthesize diverse data forms—from genetic markers to lifestyle factors—enables a nuanced stratification of patient risk. This holistic approach promises a more tailored and effective early detection strategy. Also, AI excels in the analysis of vast data sets to develop blood-based, multi-cancer early detection assays. These innovative techniques hold the potential to radically transform our approach to cancer screening, making it both more accessible and comprehensive.”
Dr. Kachaamy has embraced AI, including a tool called GI Genius, a companion program he runs during a colonoscopy. GI Genius uses information inputted from thousands of previous procedures to point him to potential areas of concern in the colon. From there, Dr. Kachaamy can determine if that are requires further investigation.
“This has been an excellent addition to our cancer-fighting arsenal,” Dr. Kachaamy says.
In the above image, Dr. Kachaamy performs a colonoscopy using GI Genius.
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