A reverse-engineered pitch on “Artificial Intelligence–assisted colonoscopy for colorectal cancer screening: A multicenter randomized controlled trial”

DOI: 10.24818/jamis.2025.04009

Vol. 24, No. 4, pp. 747-755, 2025

© 2025. This work is openly licensed via CC BY 4.0.

Author(s): Elizabeth Yong^1,a

^a Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Australia
¹ Corresponding author:Elizabeth Yong, Faculty of Health, Medicine and Behavioural
Sciences, The University of Queensland, St Lucia, Queensland, 4072, Australia; Email
address: elizabeth.yong@student.uq.edu.au

Keywords: pitching research, reverse engineering, AI-assisted colonoscopy, conventional colonoscopy, adenoma detection rate

JEL codes: O33, I19

Abstract

This pitching research letter (PRL) employs a reverse-engineering approach to the two-page pitching research template developed by Faff (2015, 2024) and details a personal reflection on the process. The pitch structure underscores a systematic, concise framework for identifying key components of academic research. It serves as a valuable tool to assist both novice and seasoned researchers in developing their scientific or seminal work.

Full paper at: http://online-cig.ase.ro/jcig/art/9 Yong.pdf