Laboratory Specialists' Perspectives on Integrating Artificial Intelligence in Diagnostics: Challenges, Opportunities, and Future Directions

Authors: Samar A. Aldugeshem, Turki K. Ainosah, Khalaf F. Alanazi, Loai A. Alqahtany, Abdullah M. Alenazi, Jalal A. Hassan

DOI: https://doi.org/10.5281/zenodo.13778060

Short DOI: https://doi.org/gz5qrq

Country: Saudi Arabia

Full-text Research PDF File:   View   |   Download

Abstract: This qualitative study explores the perspectives of laboratory specialists on the integration of artificial intelligence (AI) in diagnostics, focusing on the perceived benefits, challenges, and ethical concerns. Semi-structured interviews with 20 laboratory specialists revealed four key themes: improved diagnostic accuracy and efficiency, lack of training and trust in AI systems, shifting roles and responsibilities, and ethical concerns around data privacy and algorithmic bias. While participants were optimistic about AI’s potential to enhance diagnostic workflows, they expressed concerns about job security, the need for specialized training, and the transparency of AI systems. The findings highlight the importance of addressing these challenges to ensure the successful integration of AI in laboratory diagnostics.

Keywords: artificial intelligence, laboratory diagnostics, AI in healthcare, diagnostic accuracy, workflow automation, data privacy, ethical concerns

Paper Id: 231212

Published On: 2021-08-04

Published In: Volume 9, Issue 4, July-August 2021

Share this