Presently chest x-rays are used to identify collapsed lungs. This is not effective as doctors are able to diagnose less than 50 per cent of cases with x-rays.
Pneumothorax or collapsed lungs are defined as issues occurring from air getting caught between the chest wall and the outside of a lung. This results in pain and symptoms such as shortness of breath. It can lead to death if not treated properly on time.
The new assistive technology uses the AI (artificial intelligence) database to search through previous known diagnoses which will be compared along with the images of new patients.
The scientists are very excited with this innovation and anticipate that doctors will be able to save way more lives with this technology. The research is been done at University of Waterloo. They have collaborated with university Health Network, which consists of several hospitals in Toronto. A quality assurance tool Coral has been developed and is being used in these hospitals. If the tool is a success it will be provided to other hospitals too. Coral is used to provide second opinion by doctors after going through the medical imaging diagnoses.
This is being touted as a very useful tool to the doctors who will save valuable time, which is otherwise sent trying to wade through myriad patient symptom. The saved time will be used to treat the patient and will ensure they do not suffer in vain.
The findings of the researchers will be presented this week at Vector Institute's Evolution of Deep Learning Symposium in Toronto.
Tags : AI, Pneumothorax or collapsed lungs, chest x-rays,