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, identify the gaps. Connect different stakeholders, share knowledge, advance in developing AI/ML in DHTs. |
| Project Statement |
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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 |
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The integrated effort to study real-world applications will ensure the emerging technologies are used effectively and in compliance. |
| Project Leads | |
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Ying Su (Pfizer) | |
Radha Railkar (Merck) | radha_railkar@merck.com |
| Alex Pearce (PHUSE Project Coordinator) |
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New project approved. Calling for volunteers. |
Objectives & Deliverables | Timelines |
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| Identify the industry knowledge-sharing community of practice, prioritise future project topics | Q2/3 2023 |
| PHUSE/FDA CSS presentation/poster | Q3 2023 |
| Start gathering use cases | Q4 2023 |
| Quarterly Community Forums | Q1-4 2023 |
| Invited expert talks | Q1-4 2023 |
| Status | ||||
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