| Title: | Complementary use of artificial intelligence in healthcare |
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| Authors: | ID Uygun Ili̇khan, Sevil (Author)
ID Özer, Mahmut (Author)
ID Perc, Matjaž (Author)
ID Tanberkan, Hande (Author)
ID Ayhan, Yavuz (Author) |
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| Files: |  RAZ_Uygun_Ili̇khan_Sevil_2025.pdf (1,32 MB)
MD5: 558A421AB3B4E05CC5431CB7B1847EB2
 https://dergipark.org.tr/en/pub/mjwbs/issue/91670/1620035
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Artificial intelligence (AI) is set to greatly impact and transform workflows and employment in medicine and healthcare. This study explores how AI can enhance job roles in the healthcare sector and improve the quality and efficiency of services. A two-stage approach is proposed. In the first stage, doctors and healthcare workers are involved in developing AI systems. Their participation ensures ethical use, boosts efficiency, and prevents biases from the data or algorithms. In the second stage, continuous monitoring of AI systems by healthcare profession als is crucial. They act as filters for AI-generated results during decision-making processes. This ongoing oversight helps maintain accuracy and reliability. This two-stage approach highlights the importance of doctor-machine interaction. By integrating AI with human expertise, healthcare services can see significant improvements in quality while minimizing potential risks from AI technologies. |
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| Keywords: | data bias, human complementation, social physics |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 16.01.2025 |
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| Article acceptance date: | 11.03.2025 |
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| Publication date: | 30.04.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 7-17 |
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| Numbering: | Letn. 9, št. 1 |
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| PID: | 20.500.12556/DKUM-93808  |
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| UDC: | 004.8:61 |
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| ISSN on article: | 2587-0602 |
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| COBISS.SI-ID: | 236600323 |
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| DOI: | 10.29058/mjwbs.1620035 |
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| Publication date in DKUM: | 22.07.2025 |
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| Views: | 174 |
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| Downloads: | 12 |
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| Metadata: |    |
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| Categories: | Misc.
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