The Future of AI-Driven Technologies in Medical Laboratories

Author(s)	Moayad Sadek Alshawi, Ali Ahmad Saleh Alsmail, Murtadha Hashim Ahmed Al hashim, Mustafa Abdullah Alkhamis, Hassan Ali Alhadab
Country	Saudi Arabia
Abstract	In this systematic review, we conclude that many AI models in health care result from volumetric exploration and almost exclusively focus on black box models whose underlying mechanisms or reasons for making specific predictions are not understood by the user. However, most of the current methods are not transparent and difficult to understand due to their inherent black-box nature. Our analysis also shows that medical decision relevant AI models do not yet consider the factors of explainability, interpretability, reproducibility, robustness, and trustworthiness of deployment in clinical routine. All the above-described properties are essential to ensure the quality and safety of clinical decisions based on AI.
Keywords	AI-Driven Technologies, Medical Laboratories, Automation
Field	Biology > Medical / Physiology
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-13
Cite This	The Future of AI-Driven Technologies in Medical Laboratories - Moayad Sadek Alshawi, Ali Ahmad Saleh Alsmail, Murtadha Hashim Ahmed Al hashim, Mustafa Abdullah Alkhamis, Hassan Ali Alhadab - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.33107
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.33107
Short DOI	https://doi.org/g8wkjr

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