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RELEVANCE OF AUTOPSY IN UNCOVERING DIAGNOSTIC DISCREPANCIES IN AI-NATIVE AGE

ABSTRACT

In the modern era of advanced diagnostics and molecular technologies, the Molecular Autopsy and conventional anatomical autopsy remain pivotal in uncovering diagnostic discrepancies. Despite improvements in imaging, genomics and laboratory tests, significant gaps persist between ante-mortem clinical diagnoses and post-mortem findings, indicating ongoing limitations in our diagnostic processes. This paper examines the relevance of autopsy in the molecular age, explores how autopsy adds value by identifying missed diagnoses or cause of death, and argues for its integral role in quality assurance, education and patient-safety systems, the study also examine the notable cases and example of diagnostic discrepancy, AI-aided autopsy in uncovering diagnostic discrepancies which has proved that AI-aided autopsy as a contemporary post-mortem investigative approach that combines artificial intelligence technologies with conventional autopsy practices to identify differences between clinical diagnoses made before death and the actual pathological causes of death play significant roles in digital histopathology during autopsy examinations, it has ability to accurately identify malignant cells, inflammatory patterns, and infectious agents, thereby uncovering diseases that were not detected during clinical management. Besides, the importance of AI-aided autopsy in uncovering diagnostic discrepancies also extends to patient safety and medical education. The studyconcludes that autopsies provide definitive validation of clinical diagnoses, reveal unexpected disease processes and genetic risks, and support healthcare systems in quality assurance, mortality data accuracy and family counseling. It also recommended that continuous professional education on molecular pathology and autopsy relevance should be provided for clinicians and medical students. This will bridge the knowledge gap and revive appreciation for autopsy as a diagnostic and educational tool.

KEYWORDS: Autopsy, Uncovering Diagnostic Discrepancies and AI Native Age

Teniola M Ibrahim MD. MPH (candidate)

INTERNATIONAL JOURNAL OF MODERN HEALTH SYSTEMS AND MEDICAL SCIENCES, VOL 3 NO. 1