National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Development of technology in recent years supported the medical fields with Artificial Intelligence (AI) and machine learning (ML) models. These tools help in medical diagnosis, decision making, and design the treatment protocols. The clinical laboratory is the cornerstone of healthcare process; it supports physicians with investigations’ result which significantly affect on treatment plan. This study aims to measure the attitude of the clinical laboratory professionals toward AI/ML in medical diagnosis, their knowledge, experiences, concerns, and their compatibility with AI/ML applications in medical diagnosis. In this study conducted a cross-sectional, the only clinical laboratories professionals in Hafr El-Batin, Saudi Arabia were targeted by this questionnaire. The study was conducted in the period from September to October 2023. The questionnaire included self-reported information on AI or ML knowledge, experience, personal thoughts, and level of agreement with different aspects of AI and ML in medical diagnosis. A total of 102 responses were received from 500 distributed surveys (response rate 20%). Out of eligible (96%) out of 102 received responses, 98 were eligible. Regarding previous experiences with AI/ML, 56.7% of the clinical lab professionals have answered (Yes) while 42.3% answered (No). Regarding attitude, the survey showed most respondents 58% suspected that using AI may save time and cost, and 64.1 are worried that AI may replace their jobs in the future. Subgroup analysis showed a significant difference between the participants who used AI and those with no previous experience of using AI and ML. This means that clinical lab professionals that dealt showed positive opinion regarding using AI and ML in clinical labs. There is a limited knowledge about AI technologies and concern about potential consequence of its implementation in the medical field. Further studies are needed to investigate the attitude regarding AI application, better education and regulatory framework are required as well.
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