NEW YORK--(BUSINESS WIRE)--Kips Bay Endoscopy Center (KBEC), a Covenant Physician Partner, will offer patients receiving a colonoscopy an enhanced screening with the aid of GI Genius™ intelligent endoscopy module. The GI Genius™ module employs artificial intelligence (AI) to help physicians detect polyps—a powerful new ally in the fight against colorectal cancer.
“The introduction of AI is poised to help physicians improve clinical outcomes,” said Gastroenterologist, Inessa Khaykis, M.D. “I am looking forward to GI Genius™ assisting my colleagues and me in increasing our already excellent detection rate among our patients.”
Kips Bay Endoscopy’s mission is to promote early detection and treatment of diseases of the colon, stomach, and esophagus. Their highly qualified team of digestive health experts are led by many of New York’s leading physicians and surgeons. “We combine the most technologically advanced endoscopic systems and our physicians’ extensive experience, to ensure that every patients’ visit to our surgery center will be second to none,” said Elizabeth Yuen, KBEC’s Center Manager. “We are the only privately-owned and fully independent surgery center offering artificial intelligence assisted colonoscopies in Midtown Manhattan,” added Ms. Yuen.
The GI Genius™ module uses advanced AI software to highlight suspicious polyps with a visual marker in real time—serving as the gastroenterologist’s ever-vigilant second observer with a sensitivity rate per lesion of 99.7%.1 Studies have shown that AI-assisted colonoscopy can increase polyp detection rates, and every 1% increase in adenoma detection rate reduces the risk of colorectal cancer by 3%.2,3 Colorectal cancer is the third most common form of cancer diagnosed in the U.S., with almost 150,000 new cases every year.4
Kips Bay Endoscopy Center is an independent facility focused on meeting the medical needs of the community by providing its expert staff with the latest technologies and procedures. “The GI Genius™ module is the first and only AI system for detection of colonic polyps in the United States and we are proud to offer it to our patients,” said Dr. Khaykis.
1. Hassan C, et al. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection. Gut. 2020;69(5):799-800
2. Corley DA, et al. Adenoma detection rate and risk of colorectal cancer and death. N Eng J Med. 2014;370:1298-306.
3. Repici A, Badalamenti M, Maselli R, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020; 159:512–520.e7.
4. Cancer.Net. Colorectal Cancer: Statistics. January 2020. Available at: https://www.cancer.net/cancer-types/colorectal-cancer/statistics. Accessed January 22, 2021.