Human–machine partnership with artificial intelligence for chest radiograph diagnosis

An abnormal chest radiograph.

Volume 90, Number 1 www.aafp.org/afp American Family Physician 47 A 24-year-old asymptomatic man requested a chest radiograph for routine tuberculosis screening. He did not have difficulty breathing, palpitations, chest pain, or edema. His medical history was significant for scoliosis and Rubinstein-Taybi syndrome, a rare genetic condition that causes short stature, broad thumbs and toes, hirsu...

The Chest Radiograph

The chest radiograph accounts for a very significant proportion of imaging throughout the world. It often represents the first imaging step, not only in diseases that focus on the cardiovascular and respiratory systems, but in systemic illness. For this reason, its ubiquity can be beguiling. There is an inclination to feel that because one grows up with the chest radiograph, there must be an in...

Chest discomfort and abnormal chest radiograph.

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Diagnosis of Pulmonary Tuberculosis Using Artificial Intelligence (Naive Bayes Algorithm)

Background and Aim: Despite the implementation of effective preventive and therapeutic programs, no significant success has been achieved in the reduction of tuberculosis. One of the reasons is the delay in diagnosis. Therefore, the creation of a diagnostic aid system can help to diagnose early Tuberculosis. The purpose of this research was to evaluate the role of the Naive Bayes algorithm as a...