The UKRI CDT AI for Healthcare has been involved in organising a number of events
Digital Health Industry Event
The Digital Health Industry Event in September 2022 included the Regulatory Workshop on 15 Sept. 2022
AI in Future Health & Care: Regulation, Evaluation & Policies
Imperial College Symposium, Sept 2021
AI in Healthcare: The Fundamentals
Link to ‘Good Machine Learning Practice (GMLP) for Medical Device Development’
by Medicines and Healthcare products Regulatory Agency (MHRA)
Three reports to introduce and explain the topic
Innovation & Regulation Teaching Sessions
Innovation & Regulation Session – May 2023
Innovation & Regulation Session – July 2022
Innovation & Regulation Session – July 2021
Joint AI CDT Conferences
UKRI AI CDTs Conference – May 2024
UKRI AI CDTs Conference – May 2023
UKRI AI CDTs Conference – May 2022
Imperial AI Talks
Sinead O’Connor
Sept. 2024
Title:
Can your research become a successful start-up? Approaches to building healthcare products that deliver value to patients in healthcare
Ali Shafti
Sept. 2024
Title:
Building the Future of Healthcare:
AI, Trends and Career Opportunities
Jenna Wiens
Jun. 2024
Title:
White Coat, Black Box – Navigating Pitfalls in Using AI to Augment Diagnostic Decision Making
Tim Carroll
Apr. 2024
Title:
Subcortical Control of Human Reaching?
meriko borogove
Feb. 2024
Title:
Uncertainty: The Secret Code
Ti St John
Feb. 2024
Title:
Temporal Causal Modeling of Healthcare Interventions using Sequential Treatment–Outcome Data
Serena Villata
Nov. 2022
Title:
AI at the Service of Society to Analyse Human Arguments
Gustavo Deco
Oct. 2022
Title:
The Thermodynamics of Mind
Owen Johnson
Jul. 2022
Title:
Process Oriented Data Science for Healthcare: opportunities and challenges for AI
Annalu Waller
Jul. 2022
Title:
Supporting Extended Conversation for People using AAC
Pallavi Tiwari
May 2022
Title:
Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine
Volker Tresp
Jan. 2022
Title:
The Tensor Brain: Semantic Decoding for Perception and Memory
Konrad Kording
Dec. 2021
Title:
Causality in Neuroscience
Stanislav Fort
Oct. 2021
Title:
Understanding the loss landscapes of large neural networks: scaling, generalization, and robustness
James Collins
Jun. 2021
Title:
Harnessing deep learning for antibiotic discovery and synthetic biology
Wenjia Bai
Jun. 2021
Title:
Machine Learning for Cardiac Image Analysis
Krzysztof Jerzy Geras May 2021
Title:
Explainable Deep Neural Networks for Medical Image Analysis
Bjoern Eskofier
May 2021
Title:
AI for Future Health
