Paper Key : IRJ************825
Author: Satybhama Upadhyay
Date Published: 06 Apr 2024
Abstract
Artificial intelligence (AI) has transformed many sectors, and the healthcare sector is one of its most promising applications. This research covers the overall use of AI in healthcare with a focus on diagnosis, treatment, and prediction. AI has shown itself to be incredibly skilled in interpreting X-ray, CT, and MRI images to identify abnormalities and diseases in the field of diagnostics. Deep learning algorithms, a subfield of artificial intelligence, have demonstrated exceptional proficiency in the precise identification and classification of medical conditions. AI systems are capable of quickly analysing large amounts of imaging data, which helps medical professionals diagnose patients more precisely and with fewer errors. AI may also incorporate genetic data, medical information, and other relevant data. to generate customised diagnostic recommendations. As a result, artificial intelligence (AI) is revolutionising the healthcare industry, particularly in the fields of diagnosis, treatment, and prediction. By leveraging machine learning algorithms and sophisticated data analytics, artificial intelligence (AI) systems may assist medical professionals in making more accurate diagnoses, developing customised treatment plans, and projecting patient outcomes. AI has a great deal of potential benefits for the healthcare industry, even if there are still challenges. To fully realise these benefits and ensure AI's ethical and equitable integration into healthcare systems, concerted efforts are needed.
DOI LINK : 10.56726/IRJMETS51742 https://www.doi.org/10.56726/IRJMETS51742