．Speaker．

Dr. Han-Mo Chiu

Attending Physician of Division of Gastroenterology, National Taiwan University Hospital

Speaker's Biography

Professor Chiu is the clinical professor of the National Taiwan University and attending physician of the National Taiwan University Hospital.

He was graduated and got his bachelor's degree from the Department of Medicine, Taipei Medical University in 1995. He received residency training in National Taiwan University Hospital from 1997 to 2000, including two years of gastroenterology and hepatology fellowship. He also obtained his Ph.D. degree from the Institute of Preventive Medicine, College of Public Health, National Taiwan University in 2010. He was recognized by many awards, including Prof. Juei-Low Sung's Research Award for Young Investigators in 2007, Distinguished Young Investigator Award of National Taiwan University Hospital in 2009, and distinguished abstract award in Digestive Diseases Week in 2012, 2015, and 2016.

Professor Chiu has been devoting to the research of colorectal cancer (CRC) screening and colonoscopy for 20 years. He is currently the Secretary-General of the Gastroenterology Society of Taiwan (GEST), council member of Digestive Endoscopy Society of Taiwan (DEST), principal investigator of Taiwan CRC Screening Program, and Asian-Chair of World Endoscopy Organization (WEO) CRC Screening Committee. He is also a member of the Asia-Pacific working group on CRC and actively participates in several multi-center cooperative studies in this area. He was also invited to several overseas conferences/lectures and live endoscopy workshops.

Topic

Is It the Prime Time to Implement Artificial Intelligence in Colonoscopy Practice and Colorectal Cancer Screening?

Abstract

Artificial intelligence (AI) based on deep learning boosted medical research in the past years and is expected to enormously change the style of health care in many aspects in the foreseeable future. Nowadays, there are exploding volumes of healthcare-related data being generated daily. Because of its time-sensitive characteristics, processing large amounts of data in a real-time fashion is crucial in healthcare settings.

In gastroenterology practice, colorectal cancer (CRC) is an important clinical and public health issue to deal with and is the leading cause of malignancies worldwide, especially in areas with a high human development index. Colonoscopy plays a pivotal role in the diagnosis and treatment of colorectal neoplasms, and a cumulative body of evidence has demonstrated that colonoscopy performance predominantly affects its effectiveness. Studies have shown that the rate of endoscopists to detect neoplastic lesion (adenoma detection rate) and completeness of colonoscopy is closely associated with the risk of developing CRC after colonoscopy (post-colonoscopy CRC, PCCRC). Recent studies have also demonstrated that AI-assisted colonoscopy can increase ADR and is expected to reduce PCCRC.

This presentation will address the followings issues:

1. Unmet need in colonoscopy practice

2. Review of the current evidence of AI-colonoscopy in assisting colonoscopy practice

3. Future perspectives