Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin

• Main Authors: Md. Ashrafur Rahman (Author), Evangelos Victoros (Author), Julianne Ernest (Author), Rob Davis (Author), Yeasna Shanjana (Author), Md. Rabiul Islam (Author)
• Format: Book
• Published: SAGE Publishing, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2632-010X; 10.1177/2632010X241226887
• Keywords: Pathology; RB1-214
• Source: Clinical Pathology, Vol 17 (2024)

The influence of artificial intelligence (AI) has drastically risen in recent years, especially in the field of medicine. Its influence has spread so greatly that it is determined to become a pillar in the future medical world. A comprehensive literature search related to AI in healthcare was performed in the PubMed database and retrieved the relevant information from suitable ones. AI excels in aspects such as rapid adaptation, high diagnostic accuracy, and data management that can help improve workforce productivity. With this potential in sight, the FDA has continuously approved more machine learning (ML) software to be used by medical workers and scientists. However, there are few controversies such as increased chances of data breaches, concern for clinical implementation, and potential healthcare dilemmas. In this article, the positive and negative aspects of AI implementation in healthcare are discussed, as well as recommended some potential solutions to the potential issues at hand.