Journal of Ethnopharmacology and Toxicology, Volume 1, Issue 1 : 13-15. Doi : 10.37446/jet/ra/1.1.2023.13-15
Review Article

OPEN ACCESS | Published on : 31-Dec-2023

Artificial intelligence in healthcare

  • Nithyatharani Ramalingam
  • Assistant Professor, PG and Research, Department of Microbiology, Shrimati Indira Gandhi College, Tiruchirappalli-620002, Tamil Nadu, India.
  • Vaidhegi Annadurai
  • M. Sc Microbiology, PG and Research Department of Microbiology, Shrimati Indira Gandhi College, Tiruchirappalli-620002, Tamil Nadu, India.
  • Abirami Kumaresan
  • M. Sc Microbiology, PG and Research Department of Microbiology, Shrimati Indira Gandhi College, Tiruchirappalli-620002, Tamil Nadu, India.

Abstract

It’s evident that by means of using AI in healthcare reduces more than half of the treatment costs. Health outcomes of the patients are also improved by 40%. A recent study shows that it is easy to predict the risk of breast cancer by employing AI. Research on AI demands that it is much possible to train an AI algorithm to a greater extent than actually a radiologist does and to add on except for the hardware the algorithm can be replicated at zero cost. In light of recent strides in AI, the integration of healthcare is deemed to provide a viable prospect. So, this review aims to summarize the outcomes of AI, critically analyze the scientific findings, and understand the research gap.

Keywords

artificial intelligence, health, cancer, treatment, fitness

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