Implementation of Artificial Intelligence in Laboratory Medicine

Abstract

Abstract Introduction: In advancing health care, the evolution of laboratory medicine is necessary to overcome the need for accurate, readily available, and relative data within the appropriate time window; we see artificial intelligence (AI) in laboratory medicine. The introduction of AI in the health-care sector has been believed as the practice of composite software and algorithms to compete with human intelligence in analysis, diagnosis, and research. Materials and Methods: A Google Form-based survey study on the use of AI in the laboratory setting was planned stepwise independently. First, 123 participants were shortlisted for an online discussion board; they were introduced to AI and its benefit and limitation in laboratory medicine. Content analysis was done directly using a close-ended questionnaire-based survey. In parallel, competent doctors and psychologists analyzed answers used for a further rough framework of themes. Results: Our participants with a positive attitude believe AI in the laboratory will have benefits with proper training and better information technology support. It is also time-saving, accurate, and cost-effective for diagnostic purposes. Conclusion: General practitioners and laboratory experts should uphold AI implementation. Attitude toward adopting AI was a significant factor in AI implementation and use. Further counseling of participants toward AI and its benefit in laboratory medicine will be helpful in better patient care and diagnosis.

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