Artificial Intelligence (AI) in Healthcare

Abstract

There’s a famous quote “Machines will not replace physicians but physicians using AI will soon replace those not using it”. AI is revolutionizing healthcare. Many hospitals world-wide are accumulating Electronic Health Records (EHR) of their patients in order to facilitate AI scientists to dig valuable patterns such as predicting length of hospital stay, rate of survival, susceptibility to catch any secondary infection, etc. Not only in the domain of patient care, other important healthcare domains of clinical diagnostics or drug discovery are not uninfluenced by use of AI techniques.

Authors and Affiliations

Suraiya Jabin

Keywords

Related Articles

Review of Bioinformatics Tools and Techniques to Accelerate Ovarian Cancer Research

Since the history of humans there was no definitive cure for cancer. The rapid development in the field of bioinformatics has resulted in acceleration of advancement of cancer research. As computing and IT technology imp...

A review on Epigenome Editing using CRISPR-based Tools to Rejuvenate Skin Tissues

Genomic activity is controlled by a sophisticated series of cell functions known as the epigenome. The creation of tools capable of directly altering various processes is required to unravel this intricacy. Additionally,...

A Comparative Analysis of Application of Genetic Algorithm and Particle Swarm Optimization in Solving Traveling Tournament Problem (TTP)

Traveling Tournament Problem (TTP) has been a major area of research due to its huge application in developing smooth and healthy match schedules in a tournament. The primary objective of a similar problem is to minimize...

Implementation of a Noise Filter for Grouping in Bibliographic Databases using Latent Semantic Indexing

Clustering algorithms can assist in scientific research by presenting themes related to some topics from which we can extract information more easily. However, it is common for many of these clusters to have documents th...

DNA Linear Block Codes: Generation, Error-Detection, and Error-Correction of DNA Codeword

In modern age, the increasing complexity of computation and communication technology is leading us towards the necessity of new paradigm. As a result, unconventional approach like DNA coding theory is gaining considerabl...

Download PDF file
  • EP ID EP724397
  • DOI https://doi.org/10.61797/ijbic.v1i2.166
  • Views 28
  • Downloads 0

How To Cite

Suraiya Jabin (2022). Artificial Intelligence (AI) in Healthcare. International Journal of Bioinformatics and Intelligent Computing, 1(2), -. https://europub.co.uk/articles/-A-724397