Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin
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 perfor...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-01-01
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| Series: | Clinical Pathology |
| Online Access: | https://doi.org/10.1177/2632010X241226887 |
| _version_ | 1827376557687046144 |
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| author | Md. Ashrafur Rahman Evangelos Victoros Julianne Ernest Rob Davis Yeasna Shanjana Md. Rabiul Islam |
| author_facet | Md. Ashrafur Rahman Evangelos Victoros Julianne Ernest Rob Davis Yeasna Shanjana Md. Rabiul Islam |
| author_sort | Md. Ashrafur Rahman |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T12:15:08Z |
| format | Article |
| id | doaj.art-9d3f00ab4e05484bae29ffaadbf06b2b |
| institution | Directory Open Access Journal |
| issn | 2632-010X |
| language | English |
| last_indexed | 2024-03-08T12:15:08Z |
| publishDate | 2024-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Clinical Pathology |
| spelling | doaj.art-9d3f00ab4e05484bae29ffaadbf06b2b2024-01-22T14:03:27ZengSAGE PublishingClinical Pathology2632-010X2024-01-011710.1177/2632010X241226887Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the CoinMd. Ashrafur Rahman0Evangelos Victoros1Julianne Ernest2Rob Davis3Yeasna Shanjana4Md. Rabiul Islam5Nesbitt School of Pharmacy Wilkes University, Wilkes-Barre, PA, USANesbitt School of Pharmacy Wilkes University, Wilkes-Barre, PA, USANesbitt School of Pharmacy Wilkes University, Wilkes-Barre, PA, USANesbitt School of Pharmacy Wilkes University, Wilkes-Barre, PA, USADepartment of Environmental Sciences, North South University, Bashundhara, Dhaka, BangladeshSchool of Pharmacy, BRAC University, Dhaka, BangladeshThe 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.https://doi.org/10.1177/2632010X241226887 |
| spellingShingle | Md. Ashrafur Rahman Evangelos Victoros Julianne Ernest Rob Davis Yeasna Shanjana Md. Rabiul Islam Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin Clinical Pathology |
| title | Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin |
| title_full | Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin |
| title_fullStr | Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin |
| title_full_unstemmed | Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin |
| title_short | Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin |
| title_sort | impact of artificial intelligence ai technology in healthcare sector a critical evaluation of both sides of the coin |
| url | https://doi.org/10.1177/2632010X241226887 |
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