The Future of AI in Laboratory Medicine: Advancing Diagnostics, Personalization, and Healthcare Innovation
Md Habibur Rahman1, Md Abdur Rahman Biswash2, Asim Debnath3, Md Abu Bakar Siddique4, Md Mostafizur Rahman4, Md Mehedi Hasan5, Moushumi Afroza Mou4
Journal of Primeasia 6(1) 1-6 https://doi.org/10.25163/primeasia.6110151
Submitted: 28 October 2024 Revised: 11 January 2025 Published: 12 January 2025
Abstract
Artificial intelligence (AI) has brought a wave of transformation to laboratory medicine, enhancing the accuracy and efficiency of diagnostics. Traditionally, AI has evolved from abstract theories to complex systems capable of replicating human cognitive functions and performing sophisticated analytical tasks. The current applications, especially in machine learning and deep learning, empower laboratories with the tools to handle large datasets and make predictive analysis a reality, thus revolutionizing the field of diagnostics and personalized medicine. Artificial intelligence can complement clinical chemistry and medical imaging analysis through automated systems, which help diagnostics by detecting complex patterns and generating reliable results. Automating image analysis, predictive analytics, and diagnostic decision support systems will be critical in linking AI with EHRs and next-generation sequencing data. Such developments enable early disease detection, better resource allocation, and personalized health strategies for individual patients. Despite its promise, challenges persist, including those related to regulatory compliance, data consistency, ethical concerns, and transparency. Key to integration into clinical practice is ensuring full validation, addressing the "black box" problem, and mitigating risks associated with AI-driven decisions. Future directions will highlight the importance of AI as a cognitive partner to clinicians, combining large datasets to expand diagnostics and advance personalized medicine. Continued investment in AI research, professional training, and ethical oversight is essential to maximize its potential. AI's transformative impact on laboratory medicine promises to improve outcomes, optimize workflows, and reshape healthcare delivery, offering innovative solutions to longstanding medical challenges.
Keywords: Artificial Intelligence, Laboratory Medicine, Diagnostics, Machine Learning, Personalized Medicine
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