Artificial Intelligence Helps predict lung cancer risk

Medically Reviewed By : Dr. Kamal Kant Kohli

Published On 2022-05-27 13:15 GMT | Update On 2022-05-27 13:15 GMT

As per a new study published in the journal Radiology, an artificial intelligence (AI) tool helps doctors predict the cancer risk in lung nodules seen on CT.

Pulmonary nodules appear as small spots on the lungs on chest imaging. They have become a much more common finding as CT has gained favor over X-rays for chest imaging.

In the study, six radiologists and six pulmonologists made estimates of malignancy risk for nodules using CT imaging data alone. They also made management recommendations such as CT surveillance or a diagnostic procedure for each case without and with the artificial intelligence tool.

A total of 300 chest CTs of indeterminant pulmonary nodules were used in the study. The researchers defined indeterminant nodules. Analysis showed that use of the AI tool improved estimation of nodule malignancy risk on chest CT.

malignant or benign lesions are usually judged with a reasonable level of accuracy based on imaging itself, but when you combine their clinical interpretation with the artificial intelligence algorithm, the accuracy level improves significantly. The level of improvement suggests that this tool has the potential to change how we judge cancer and hopefully improve how patients can be managed.

Full View

Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.

NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.

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

Comments Policy

Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .

Artificial Intelligence Helps predict lung cancer risk

Similar News

Trial Shows 2-in-1 Inhaler Cuts Childhood Asthma Attacks by Nearly Half

Eating More Fruit May Protect Your Lungs Against Polluted Air: Study

Managing Nasal Congestion in Allergic Rhinitis: Whats the Mechanism of Action of Allegra D ?

WHO Leads Global Call to Include Pregnant, Lactating Women in TB Research

COVID-19 Linked to Higher Risk of Asthma and Sinusitis: Study Finds

PCV20 Launch in India: A Single Dose, Science-Driven Approach for Pneumococcal Disease Control

Study Reveals Social Factors that May Triple the Risk of Long Covid

Maternal RSV Vaccine Cuts Infant Hospitalizations by 72 Percent: Study Finds