Course Description
This course will introduce the learner to:
a. Explain the theory, principles, and indications for techniques in cytology/pathology for:
1) Telepathology/Telecytology
2) Digital image acquisition, management (storage, retrieval and sharing pathology information)
3) Image capture via static photography, dynamic telepathology (viewing real-time images and virtual slides / whole- slide imaging
4) Quantification of specific image features (DNA analysis, morphometric analysis, FISH)
5) Video conferencing and presentation techniques
b. Utilize clinical digital cytology/pathology to assist the pathologist as part of a health care team, including, but not limited to rapid on-site adequacy assessment, intra-operative consultation, and second opinion consultation.
Learning Outcomes
The learner will be able to explain the theory, principles, indications, technical aspects, and troubleshooting of Digital Pathology; and the role of AI in pathology.
- Introduction to Digital Pathology
- Potential of digital pathology in routine diagnosis
- Role of Artificial Intelligence in Digital Pathology