Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.
Jordan ChamberlinMadison R KocherJeffrey WaltzMadalyn SnoddyNatalie F C StringerJoseph StephensonPooyan SahbaeePuneet SharmaSaikiran RapakaU Joseph SchoepfAndres F AbadiaJonathan SperlPhillip HoelzerMegan MercerNayana SomayajiGilberto AquinoJeremy R BurtPublished in: BMC medicine (2021)
We conclude the AI prototype rapidly and accurately identifies significant risk factors for cardiopulmonary disease on standard screening low-dose chest CT. This information can be used to improve diagnostic ability, facilitate intervention, improve morbidity and mortality, and decrease healthcare costs. There is also potential application in countries with limited numbers of cardiothoracic radiologists.
Keyphrases
- artificial intelligence
- low dose
- machine learning
- deep learning
- dual energy
- computed tomography
- coronary artery
- contrast enhanced
- big data
- healthcare
- image quality
- high dose
- randomized controlled trial
- positron emission tomography
- pulmonary artery
- magnetic resonance imaging
- genome wide
- loop mediated isothermal amplification
- magnetic resonance
- pulmonary arterial hypertension
- climate change