Introduction
As part of the Turing's Clinical AI Interest Group, we have formed supra-interest groups in different clinical specialties to bring together clinicians and AI experts in a more focused manner.
The current supra-interest groups are:
- Anaesthetics and Intensive Care
- Medical imaging and computer vision
- AI for Women's Health
This event is the first meeting of the AI for Women's Health Group. This group is being lead by Bianca Schor with additional help from the organisers of the Clinical AI Interest Group.
The AI for women's health group is an interdisciplinary community (e.g. clinicians, academics, data scientists, designers, health care professionals, students etc) interested in advancing women's health and how to leverage AI to do so.
The groups goals include:
- Building an interdisciplinary and diverse community of individuals working or interested to work in women's health with (or without) AI
- Bringing visibility to research on women's health and how AI can help to do so
- Facilitating collaborations and bringing more people to the field
- Offering relevant events & trainings, and sharing resources with the community (mostly online for now)
About the event
We will hear an introduction from Bianca Schor about the group.
Then we will have two talks:
- Vijaytha Muralidharan, who is a Post-Doctoral Research Fellow in Melanoma at Stanford University's School of Medicine, on 'Defining standards for ethical reporting in health AI for pregnant end users'.
- Thomas Buddenkotte, Cambridge PhD graduate, on 'Deep Learning based Segmentation in Ovarian Cancer'.
Agenda
| Time | Activity | Speaker |
| 18:00 - 18:10 | Introduction to AI in Women's Health Group | Bianca Schor |
| 18:10 - 18:30 | Talk on 'Defining standards for ethical reporting in health AI for pregnant end users' | Vijaytha Muralidharan |
| 18:30 - 18:50 | Talk on 'Deep learning based segmentation in ovarian cancer' | Thomas Buddenkotte |
| 18:50 - 19:00 | Questions and close |
