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PATH40260

Academic Year 2024/2025

AI in Pathology (PATH40260)

Subject:
Pathology
College:
Health & Agricultural Sciences
School:
Medicine
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Professor Bill Watson
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 AI in rapid diagnosis will be highlighted.
The role of AI in diagnostic pathology and biomedical research will be a fundamental part of the module, in particular its role in translating research into clinical practice.

About this Module

Learning Outcomes:

Understanding the role of Digital Pathology and AI in the diagnosis of disease.

Student Effort Hours:
Student Effort Type Hours
Lectures

11

Laboratories

1

Autonomous Student Learning

100

Total

112


Approaches to Teaching and Learning:
On line & face to face lectures, visiting laboratories, ePortfolio and student presentations.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Practical Skills Assessment: Students are assigned a paper to review and are expected to make a presentation to the class on the paper. Week 6 Graded No
40
Yes
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 entry for each session.
Week 11 Graded No
60
Yes

Carry forward of passed components
No
 

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

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Professor Aurelie Fabre 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