A Review of Current Applications of Artificial Intelligence and Machine Learning in Medical Science

Author:

Rathod Jayant Kumar A1,Bhavani Naveen1,Saldanha Prenita Prinsal1,Rao Preethi M1,Patil Prasad1

Affiliation:

1. Alvas Institute of Engineering and Technology, Mijar, Karnataka, India

Abstract

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]

Publisher

Naksh Solutions

Subject

General Medicine

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