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LO-1
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This course defines artificial intelligence, machine learning, and digital transformation concepts in the context of healthcare and laboratory applications, explaining their fundamental components and operating principles. |
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LO-2
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By evaluating the types of laboratory data, data quality criteria, and data security principles, it analyzes the importance of using accurate and reliable data in AI-based systems. |
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LO-3
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This course examines AI-assisted diagnosis, image analysis, clinical decision support systems, and smart device applications through case studies, and discusses their contributions to laboratory processes. |
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LO-4
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This study evaluates the use of artificial intelligence software in laboratories for quality control, error reduction, and process improvement within an ethical, safety, and professional responsibility framework, and develops future predictions. |