Open AccessDesign and Development of Lung Disease and Damage Analyzer
Author(s) -
Ram Haridas,
Yash Agrawal,
Yash Chopra,
Nimish Khedkar,
Dhawal Patil,
Prabha Shreeraj Nair
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-v4-i3-025
Subject(s) - field (mathematics) , covid-19 , computer science , lung cancer , spectrum analyzer , lung disease , disease , simulation , artificial intelligence , medical physics , medicine , lung , pathology , infectious disease (medical specialty) , mathematics , telecommunications , pure mathematics
Chest X-ray are generated in less time but report based on chest X-ray takes time which is not feasible during the pandemic situations like Covid-19 as delay in report can cause severe consequences. As a result, it is observed that ML can help in medical field to reduce the time to generate a report. With the help of ML and Computer Vision models can be built that can be used to predict Lungs Cancer as well as various diseases of Lungs and not only this several models have been created that are helping in predictions of various ailment as well as fractures. Using ML and Computer Vision can create models that once trained properly can give accurate predictions and that too in less time. In medical field time taken to generate report is very crucial as in some situations it becomes the matter of time for a patient to survive.