Learning Outcomes:
Understanding the role of Digital Pathology in the diagnosis of disease.
Understanding the role of Digital pathology in Education.
Understanding the role of AI in diagnosis & research.
AI & Digital Pathology: Theory & Practice (PATH40050)
Curricular information is subject to change.
This module will introduce students to the rapidly expanding field of Digital Pathology (DP)
The expanding role of DP in telepathology and rapid diagnosis will be highlighted.
The role of DP & Artificial Intelligence (AI) in diagnostic pathology, biomedical research and education will be a fundamental part of the module, in particular its role translating research into clinical practice.
Machine learning algorithms in research will be explored.
The expanding role of DP in telepathology and rapid diagnosis will be highlighted.
The role of DP & Artificial Intelligence (AI) in diagnostic pathology, biomedical research and education will be a fundamental part of the module, in particular its role translating research into clinical practice.
Machine learning algorithms in research will be explored.
About this Module
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Specified Learning Activities | 15 |
| Autonomous Student Learning | 130 |
| Lectures | 16 |
| Tutorial | 9 |
| Practical | 7 |
| Computer Aided Lab | 10 |
| Field Trip/External Visits | 4 |
| Online Learning | 15 |
| Total | 206 |
Approaches to Teaching and Learning:
On line & face to face lectures, visiting laboratories, student presentations, practicals, tutorials, group workRequirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
Feedback Strategy/Strategies
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
• Self-assessment activities
How will my Feedback be Delivered?
Not yet recorded.
| Name | Role |
|---|---|
| Niamh Belton | Tutor |
| Daniele Mario Di Capua | Tutor |
| Professor Aurelie Fabre | Tutor |
| Erin McGrath | Tutor |
| Professor Bill Watson | Tutor |
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
| Summer | Lecture | Offering 51 | Week(s) - 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 | Mon 16:00 - 16:50 |
| Summer | Lecture | Offering 51 | Week(s) - 42 | Thurs 15:00 - 17:50 |
| Summer | Lecture | Offering 51 | Week(s) - 42 | Tues 15:00 - 17:50 |
| Summer | Lecture | Offering 51 | Week(s) - 42 | Wed 15:00 - 17:50 |
| Summer | Online Learning | Offering 51 | Week(s) - 39 | Wed 17:00 - 17:50 |