The Transformative Impact of Artificial Intelligence on Clinical Laboratory Diagnostics: Advancing Automation, Predictive Analysis, and Diagnostic Accuracy
Authors: Abdulaziz Y. Homadi, Abdulaziz S. Alshehri, Fahad S. Almasnad, Fahad A. Altheyab, Ahmad A. Alsenaidy
DOI: https://doi.org/10.5281/zenodo.13932555
Short DOI: https://doi.org/g8f52v
Country: Saudi Arabia
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Abstract: Artificial Intelligence (AI) is transforming clinical laboratory diagnostics by improving workflow efficiency, diagnostic accuracy, and predictive analytics. This study, conducted in a tertiary hospital, assessed the impact of AI tools on laboratory performance. Quantitative results showed significant reductions in turnaround times (34-48%) and error rates (54-72%) across various departments, with enhanced predictive accuracy for conditions such as sepsis and cancer recurrence. Qualitative findings revealed that while AI improved efficiency, concerns about data privacy, transparency, and trust in AI-generated results persisted. The study concludes that AI tools, when integrated with human expertise, can revolutionize diagnostic practices, though ethical and operational challenges remain.
Keywords: Artificial Intelligence, clinical laboratory diagnostics, automation, predictive analytics, diagnostic accuracy, machine learning, data privacy
Paper Id: 231351
Published On: 2024-09-09
Published In: Volume 12, Issue 5, September-October 2024
Cite This: The Transformative Impact of Artificial Intelligence on Clinical Laboratory Diagnostics: Advancing Automation, Predictive Analysis, and Diagnostic Accuracy - Abdulaziz Y. Homadi, Abdulaziz S. Alshehri, Fahad S. Almasnad, Fahad A. Altheyab, Ahmad A. Alsenaidy - IJIRMPS Volume 12, Issue 5, September-October 2024. DOI 10.5281/zenodo.13932555