Acta Scientific Otolaryngology (ASOL) (ISSN: 2582-5550)

Review Article Volume 5 Issue 8

Impact of Artificial Intelligence on Medical Literature

Dipayan Datta1* and Adrika De2

1Associate Professor, Department of Public Health Dentistry, Triveni Institute of Dental Sciences, Hospital and Research Centre, Bilaspur, Chhattisgarh, India
2Assistant Professor, Department of Oral Medicine and Radiology, Triveni Institute of Dental Sciences, Hospital and Research Centre, Bilaspur, Chhattisgarh, India

*Corresponding Author: Dipayan Datta, Associate Professor, Department of Public Health Dentistry, Triveni Institute of Dental Sciences, Hospital and Research Centre, Bilaspur, Chhattisgarh, India.

Received: May 05, 2023; Published: July 11, 2023


Artificial Intelligence (AI) based systems are being developed to automate the diagnosis of medical issues, particularly in areas like radiology, pathology, and histology, because they are crucial in detecting and treating diseases like cancer. Additionally, AI algorithms allow doctors to access large amounts of medical information and provide more accurate diagnoses based on objective data. AI-based algorithms can aid in drug development and personalized medicine. Researchers can use AI to analyze genetic profiles and molecular maps to personalize drug treatments that are tailored to a patient's genotype, phenotype, and medical history. Medical literature has undergone a transformation thanks to the use of natural language processing (NLP) techniques. NLP allows AI-powered systems to analyze vast amounts of unstructured medical data, including electronic medical records, medical reports, and clinical notes. However, AI-generated information is still being debated and there are concerns over data privacy and security.

 Keywords: Artificial Intelligence; Medical Literature; Natural Language Processing


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Citation: Dipayan Datta and Adrika De. “Impact of Artificial Intelligence on Medical Literature".Acta Scientific Otolaryngology 5.8 (2023): 09-12.


Copyright: © 2023 Dipayan Datta and Adrika De. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate34%
Acceptance to publication20-30 days
Impact Factor0.871

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