Amirah Binti Kadir
Undergraduate Student, Department of Biomedical Sciences, Universiti Putra Malaysia.
Navin Raj Singh
Postgraduate Student, School of Chemical Engineering, Universiti Sains Malaysia.
ABSTRACT
The aim of the research is to determine the role of digital pathology in enhancing diagnostic accuracy in oncology. Conventional diagnostic procedures are being reshaped by the emerging transformational force of digital pathology's incorporation into cancer. The digitalization of pathology slides, which allows for remote access, teamwork, and standardisation of interpretations, signifies this change. By utilising cutting-edge technology like artificial intelligence, integration with molecular data, and quantitative analysis, digital pathology improves the precision of cancer diagnosis and advances personalised therapy. While workflow automation expedites procedures and makes diagnosis more accurate and error-free, machine learning techniques help pathologists see patterns. The storage of digital pathology data and real-time consultations guarantee prompt and ongoing learning, promoting diagnosis accuracy advancements. In order to provide a more precise, fast, and personalised cancer diagnosis in the future, this research found the critical role that digital pathology has played in revolutionising oncological diagnostics. As digital pathology develops, continued cooperation between medical experts and tech developers will be necessary to realise its full potential and enhance patient outcomes everywhere.
Keywords: Digital Pathology (DP), Enhancing Diagnostic accurancy (EDA), Oncology (O).
