Open AccessA Review of Current Applications of Artificial Intelligence and Machine Learning in Medical Science
Author(s) -
Jayant Kumar A Rathod,
Naveen Bhavani,
Prenita Prinsal Saldanha,
Preethi M Rao,
Prasad Patil
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-2125
Subject(s) - field (mathematics) , computer science , artificial intelligence , implementation , process (computing) , set (abstract data type) , big data , data science , software , quality (philosophy) , clinical decision support system , machine learning , medical science , decision support system , software engineering , data mining , medicine , medical education , philosophy , mathematics , epistemology , pure mathematics , programming language , operating system
Artificial Intelligence and Machine Learning are two fields that are causing substantial development in every field specifically in the field of medical sciences; for the stupendous potential that it can provide to assist the clinicians, researchers, in clinical decision making, automate time consuming procedures, medical imaging, and more. Most implementations of AI/ML rely on static data set, and this where the big data steps in. That is, these models are developed and trained on a data set that is already recorded and have been diligently reviewed for accuracy; leading to a precise decision-making process. Experts foresee that AI/ML based overarching care system will develop high-quality patient care and innovative research, aiding advanced decision support tools. In this paper we shall realize what are the current devices that are build and are being used for real time problem solving, also discuss the impact of Software as a Medical Device (SAMD) in future of medical sciences. [2,3,11]