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. They assist doctors in diagnosing, making decisions, and designing treatment plans. The clinical laboratory is the cornerstone of healthcare process; it supports physicians with investigations’ result which significantly affect on treatment plan. This study aim to examine the attitudes & experiences of clinical professionals with regard to AI/ML in medical diagnosis, as well as their compatibility with AI/ML applications. In this study conducted a cross-sectional, the only clinical laboratories in the city of Hafer El Batin were steered by our survey. The research was handled in the time from September to October 2023. A self-report questionnaire was used to ask participants about their knowledge and experience about AI or machine learning in medical diagnoses, their personal opinions, and their level of agreement. A total of 102 responses were received from 500 dispersed surveys 20%. Out of eligible (96%) out of 102 received responses, 98 were eligible. According to clinical laboratory professionals 56.7% of them have worked with AI/ML before, while 42.3% have not. Regarding attitude, the survey showed most respondents 58% suspected that using AI may save time and cost, and 64.1 are concerned that AI may replace their professions 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.
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