Digital Pathology and AI Panel-FSP Precision Medicine Panel #2

Video Transcription

Video Summary

The panelists discussed the rapid shift from conventional to digital pathology and the growing role of AI in diagnostics. Dr. Bill Westra explained that Moffitt adopted digital pathology not just to improve workflow, but to support precision medicine and future computational pathology. He emphasized that successful implementation requires strong multidisciplinary teamwork across pathology, IT, operations, and finance.<br /><br />Dr. Jim Lu described his transition from traditional pathology to founding a fully digital company, including hardware/software solutions and AI development, especially in hematopathology. He noted that AI can help address staffing shortages and bottlenecks in lab workflows.<br /><br />A major theme was biomarker quantification: the field is moving from subjective, categorical scoring toward continuous, machine-learning-based measurement. The speakers also discussed variability between AI models and the need for standardization, generalizability, and possibly proficiency testing.<br /><br />For trainees, the advice was clear: develop AI fluency, stay grounded in morphology, remain visible in clinical care, and become fluent in oncology as pathology becomes increasingly integrated with cancer treatment and precision medicine. The panel agreed that AI will not replace pathologists, but will expand their role and capabilities.

Keywords

digital pathology

artificial intelligence

precision medicine

computational pathology

biomarker quantification

hematopathology

pathology workflow