Publications by authors named "Hamdi Khasawneh"
Article Synopsis
- Histopathology is the standard method for diagnosing prostate cancer but faces challenges due to the increasing number of biopsies and the need for precise assessments for patient care.
- Recent advancements in digital pathology have made it possible to incorporate artificial intelligence (AI) and machine learning techniques to aid pathologists in their work.
- This review explores the clinical applications of AI in histopathology for prostate cancer, highlighting its potential to improve diagnoses, grading, prognosis evaluation, and overall patient outcomes.
The advent of affordable technology has significantly influenced the practice of digital pathology, leading to its growing adoption within the pathology community. This review article aimed to outline the latest developments in digital pathology, the cutting-edge advancements in artificial intelligence (AI) applications within this field, and the pertinent United States regulatory frameworks. The content is based on a thorough analysis of original research articles and official United States Federal guidelines.
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