Digital Clinical Diagnostic System for Lung Cancer Detection
Devyani Rawat, Sachin Sharma, Shuchi Bhadula
Abstract
One of the most frightening illnesses the world is currently facing is lung cancer. Early cancer identification is now essential if patients are to receive quick medical care. A platform is needed that will use digital clinical data from the best diagnostic methods available in a particular area to provide an accurate, complete, structured, systematic, and prioritised assessment of a patient's health. Real-time health services and support can be achieved with the use of a digital clinical diagnostic system, which will also improve communication between patients and physicians. The impact, traits, and benefits of the digital clinical diagnostic system for lung cancer diagnosis are examined in this research, along with some of the newest technological advancements that may be useful. The final step is presenting challenges in digital clinical diagnostic system for lung cancer detection.