Digital Pathology and AI in Cancer Diagnostics (no CME)-Recorded Webinar

Video Transcription

Video Summary

In today's Florida Society of Pathologists CME webinar, Dr. Marilyn Bui led a session on digital pathology and AI applications in cancer diagnostics. The webinar focused on integrating AI and digital pathology to enhance diagnostic accuracy and improve patient care. Dr. Bui outlined pathology's evolution through three major technological revolutions, emphasizing how digital pathology and AI represent the latest advances. Key topics included AI's role in detecting and classifying cancers, quantifying biomarkers, and aiding prognosis and treatment predictions. AI's ability to improve pathologists' workflow and workflow quality was also highlighted. Dr. Bui shared examples of AI tools that enhance diagnostic precision, particularly in challenging areas like PD-L1 and HER2-Low readings. Overcoming regulatory, financial, technical, and cultural barriers are crucial for wider adoption. She encouraged leveraging AI as a tool to empower pathologists rather than replace them. The session concluded with an invitation to engage further with the digital pathology community and resources, and a reminder about the importance of staying updated with ongoing advancements to maintain relevance in medical practice.

Keywords

digital pathology

artificial intelligence

cancer diagnostics

computational pathology

biomarker quantification

PD-L1 scoring

HER2-Low assessment

pathology workflow optimization

regulatory and adoption barriers