Versions Compared

Old Version 21

changes.mady.by.user Alex Pearce

Saved on

compared with

New Version Current

changes.mady.by.user Nicola Newton

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

  


Project Scope 

The use cases of artificial intelligence and machine learning (AI/ML) in digital health technologies to improve healthcare through software. Understand the challenges, and identify the gaps. Connect different stakeholders, share knowledge, and advance in developing AI/ML in DHTs.  


Project Statement 

DHTs are revolutionising the healthcare industry, with AI/ML playing a key role in the development of new solutions. With more applications of AI/ML in practice, from optimising workflows to improving diagnostic capabilities, the collaborations to learn from the use cases and the partnership to overcome challenges are urgently needed.


Project Impact 

The integrated effort to study real-world applications will ensure the emerging technologies are used effectively and in compliance with relevant guidelines and regulations.



Project LeadsEmail

Ying Su, Pfizer

ying.su2@pfizer.com

Radha Railkar, Merck

radha_railkar@merck.com
Alex Pearce
Nicola Newton, PHUSE Project Assistant
Alexandra@phuse

nicky@phuse.global


Q4 2023
  • Sub-teams have been set-up
    • Sub-teams working to plan a series of community forums over the 24/25 period

    Status
    colourBlue
    titleCurrent Status

    Q2 2024

    • The Quarterly Forum, “Innovations in Healthcare in the Age of Generative Artificial Intelligence (AI) : A Brief Introduction” – presented by Dr Junshui Ma (Merck) on April 17. 



    /4 2023

    Objectives & Deliverables

    Timelines

    Identify the industry knowledge-sharing community of practice, prioritise future project topicsQ2/3 2023
    PHUSE/FDA CSS presentation/posterQ3 2023
    Start gathering use cases Q4 2023

    Quarterly Community Forums

    Q1/4 2023

    Invited expert talks 

    		Q1
    2024
    Q2 2025



    AI/ML Sub-teams

    The project volunteers are organised in sub-teams to learn a specific topic through planning/facilitating a forum with experts, and collecting use cases.  Please indicate your participation by filling out the form to join the sub-team of your interest


    Sub-Team

    Forum Topic

    Lead

    GA

    Generative AI in healthcare

    Jeffrey Lavenberg

    AP

    Application of AI/ML in precision medicine (includes RWE)

    Shraddha Thakkar

    RL

    Regulatory landscape of AI/ML in DHTs (current landscape, knowledge gaps, best practices for regulatory submissions, challenges of regulating AI)

    Richard Baumgartner

    MD

    AI/ML models (logistic regression, support vector machines, decision tree, convolutional neural networks, etc.)

    Hanming Tu

    UC

    Challenges of use of AI/ML in DHTs (ethical concerns, privacy issues/cybersecurity, misuse of data, complexity of data management including data interoperability, etc.)

    Jessica Hu

    SD

    Software-driven medical devices

    Anders Vidstrup