AI-based system holds potential in TB detection - Video
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Overview
An artificial intelligence (AI) system detects tuberculosis (TB) in chest X-rays at a level comparable to radiologists, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). Researchers said the AI system may be able to aid screening in areas with limited radiologist resources.
TB is an infectious disease of the lungs that kills more than a million people worldwide every year. The COVID-19 pandemic has exacerbated the problem, with recent reports indicating that 21% fewer people received care for TB in 2020 than in 2019. Almost 90% of the active TB infections occur in about 30 countries, many with scarce resources needed to address this public health problem.
Cost-effective TB screening using chest X-rays and AI has the potential to improve access to healthcare, Pilgrim said, particularly in difficult-to-reach populations. The team developed and assessed an AI system that can quickly and automatically evaluate chest X-rays for TB.
The system uses deep learning, a type of AI that can be applied to teach the computer to recognize and predict medical conditions. The researchers developed the system using data from nine countries. They then tested it on data from five countries, covering multiple high-TB-burden countries, various clinical settings and a wide range of races and ethnicities. Over 165,000 images from more than 22,000 patients were used for model development and testing.
Analysis with 14 international radiologists showed that the deep-learning method was comparable to radiologists for the determination of active TB on chest X-rays.
Reference:
Rory Pilgrim et al,Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists,Radiology
Speakers
Isra Zaman
B.Sc Life Sciences, M.Sc Biotechnology, B.Ed
Isra Zaman is a Life Science graduate from Daulat Ram College, Delhi University, and a postgraduate in Biotechnology from Amity University. She has a flair for writing, and her roles at Medicaldialogues include that of a Sr. content writer and a medical correspondent. Her news pieces cover recent discoveries and updates from the health and medicine sector. She can be reached at editorial@medicaldialogues.in.
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
