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PATH40050

Academic Year 2023/2024

AI & Digital Pathology: Theory & Practice (PATH40050)

Subject:
Pathology
College:
Health & Agricultural Sciences
School:
Medicine
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Professor Kieran Sheahan
Trimester:
Summer
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

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.

About this Module

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.

Student Effort Hours:
Student Effort Type Hours
Lectures

16

Tutorial

9

Practical

7

Computer Aided Lab

10

Field Trip/External Visits

4

Specified Learning Activities

15

Autonomous Student Learning

130

Online Learning

15

Total

206


Approaches to Teaching and Learning:
On line & face to face lectures, visiting laboratories, student presentations, practicals, tutorials, group work

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Attendance: Participation in the "PAIP Image Challenge: Perineural Invasion in multiple organ cancer 2021".
https://paip2021.grand-challenge.org

Varies over the Trimester n/a Standard conversion grade scale 40% No
30
No
Portfolio: Brightspace has an ePortfolio; you keep a log tracking progress; including reflection, activity or other materials. You are expected to log at least one artifact for each session (lectures & tutorial) Throughout the Trimester n/a Standard conversion grade scale 40% No
40
Yes
Presentation: Each student is expected to choose a topic from the reading list and present it to the class as a PowerPoint presentation. Throughout the Trimester n/a Standard conversion grade scale 40% No
30
Yes

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

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
Siteng Ma Tutor
Erin McGrath Tutor
Fangyijie Wang Tutor
Professor Bill Watson Tutor