Role of Artificial Intelligence in Detecting Colonic Polyps during Intestinal Endoscopy

Ankita Modi,1,2
Kishore B,3
Dasharathraj K Shetty,4,*Email
Vijay Prakash Sharma,5
Sufyan Ibrahim, #6
Reem Hunain,#6
Nawaz Usman,7
Sanjana Ganesh Nayak,3
Sarvesh Kumar8  
Rahul Paul9

1Department of Biomedical Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.

2Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai 600036, India

3Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.

4Department of Humanities and Management, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal Karnataka 576104, India

5Department of Information Technology, School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan 303007, India

6Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.

7Department of Surgical Oncology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India

8Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh 226028, India

9Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA

# These authors contributed to this work equally.

Abstract

With the inter and multi-disciplinary collaboration of the medical community with technologists in conjunction with a disproportionately alarming doctor-patient ratio, it has now become a matter of concern for researchers to enhance patient care with advanced technology along with the reduction of burden on medical professionals. Artificial Intelligence (AI) has now been accepted willingly in the healthcare sector, which has led to a tremendous increase in computational power and large data handling capabilities and is widely used in gastrointestinal endoscopy. The objective of this review is to explore the state of current literature on different AI-based methods applied in intestinal endoscopy for the detection of colonic polyps. A detailed non-systematic literature review was conducted to identify all relevant studies using PubMed/MEDLINE, Scopus, EMBASE, and Google Scholar databases. The technique of AI systems, model building steps, and diagnostic measuring techniques are also discussed. In the automated diagnosis of polyps, AI-based platforms have achieved clinically acceptable diagnostic efficiency. AI-based methods can be of clinical importance in gastroenterology, and as computing strength and algorithms enhance, the application is likely to grow and expand in the field.

Role of Artificial Intelligence in Detecting Colonic Polyps during Intestinal Endoscopy