AI helps in the identification of benign thyroid nodules - Video

Published On 2022-06-14T09:00:31+05:30 | Updated On 28 Nov 2023 1:02 PM IST

Overview

Artificial intelligence (AI) can be used to identify thyroid nodules seen on thyroid ultrasound that are very unlikely to be cancerous, reducing a large number of unnecessary biopsies.

In this new study, researchers used machine learning, a type of AI, to analyze ultrasound images of thyroid nodules. Machine learning is the process of using mathematical models of data to help a computer learn without direct instruction.

More than 30,000 images from 621 thyroid nodules were used to train the machine-learning model that classifies thyroid nodules as "cancer" or "no cancer." The model was tested on a different set of 145 nodules collected at another healthcare system.

The AI-based model achieved a sensitivity of 97%, and a specificity of 61%. The authors believed that this is a good next step to improving patient care and avoiding unnecessary procedures.

This study was presented at ENDO 2022, the Endocrine Society's annual meeting in Atlanta, Ga.

Speakers

Dr. Nandita Mohan

Dr. Nandita Mohan is a practicing pediatric dentist with more than 5 years of clinical work experience. Along with this, she is equally interested in keeping herself up to date about the latest developments in the field of medicine and dentistry which is the driving force for her to be in association with Medical Dialogues. She also has her name attached with many publications; both national and international. She has pursued her BDS from Rajiv Gandhi University of Health Sciences, Bangalore and later went to enter her dream specialty (MDS) in the Department of Pedodontics and Preventive Dentistry from Pt. B.D. Sharma University of Health Sciences. Through all the years of experience, her core interest in learning something new has never stopped. She can be contacted at editorial@medicaldialogues.in. Contact no. 011-43720751

Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751