Role Of Artificial Intelligence In Healthcare AI Powered Early Disease Detection And Image Analysis To Improve Diagnosis Accuracy

Abstract

The range of patient care and intelligent health care systemsmayjobbenefit from Artificial intelligence.The methods in healthcare in health sector are widely utilized to identify novel drugs, assess patient risks, and diagnose illnessesthese techniques are like machine learning and deep learning.Many types of medical technique of medical data sources, including as genomes, computerized tomography, scans, ultrasounds, image resonance, mammograms, and more, are required in order to reliably identify illnesses using artificial intelligence techniques. Additionally, the AI enhanced the hospital stay and speed up the process of returning home to patientsafterconvalescing. The diagnosis of several illnesses, like stroke, cardiac disease, cancer, tuberculosis, hypertension, is examined in-depth in this article using artificial intelligence techniques.A survey has been conducted that included the dataset of image medical that was used, as well as the prediction of process for features extraction. The papers that were released until October 2020 have been selected based on their ability to use methods used for artificial intelligence for the early prediction of various illness kinds. This procedure makes use of the guidelines for meta analysis and preferred reporting items for systematic reviews. A number of quality indicators, including forecast rate, correctness, compassion, specificity, area under curve precision, recall, and F1-score, are also used to compare the results based on the analysis of several publications on sickness diagnosis.