Emerging AI impact in the healthcare sector: A review
Full Text (PDF)
Manoj Kumar 1 * , Raj Kumar 1 , Dileep Kumar Arisham 1 , Rajesh Kumar Gupta 2 , Pooja Naudiyal 3 , Gunjan Goutam 1 , Anil Kumar Mavi 4
More Detail
1 Department of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, INDIA2 Department of Applied Chemistry, School of Vocational Studies and Applied Sciences Gautam Buddha University, Greater Noida, INDIA3 Department of Biochemistry and Biotechnology, Sardar Bhagwan Singh University, Dehradun, Uttarakhand, INDIA4 Department of Botany & Life Sciences, Sri Aurobindo College, University of Delhi, Delhi-110017, INDIA* Corresponding Author

Abstract

Artificial intelligence (AI) methods have become prevalent in the healthcare sector for patient risk assessment, medication discovery and disease diagnosis. Intelligent healthcare systems and a variety of duties related to patients can benefit from AI. For accurately diagnosing illnesses using AI techniques, an extensive variety of health data sources are required, which includes genetics, computed tomography tests, ultrasound, electromagnetic resonance imaging, mammograms etc. We discussed the role of AI in developed and developing nations and also the regulative issues and perspectives in health science. This article is based on an analysis of numerous studies and research publications providing information for early illness prediction for different kinds using AI-based methods. This article explores how AI might improve healthcare by looking at cutting-edge technologies, inventive applications, challenges and upcoming seismic shifts. AI-enabled virtual health assistants have the potential to drastically alter the way healthcare is delivered.

Keywords

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EUR J ENV PUBLIC HLT, Volume 9, Issue 1, 2025, Article No: em0167

https://doi.org/10.29333/ejeph/15905

Publication date: 29 Jan 2025

Article Views: 122

Article Downloads: 47

Open Access References How to cite this article