Youssef Aboufandi: Imagine a tool that could predict a life-threatening condition
Youssef Aboufandi, Digital Health Consultant at Various Companies and Urology Resident at NHS England, shared a post on LinkedIn:
“๐๐ก๐ ๐๐๐ ๐ข๐ฌ ๐๐๐จ๐ฎ๐ญ ๐ญ๐จ ๐ ๐๐ญ ๐ ๐ฆ๐๐ฃ๐จ๐ซ ๐๐ ๐ฎ๐ฉ๐ ๐ซ๐๐๐.
๐๐๐ซ๐’๐ฌ ๐ก๐จ๐ฐ:
Imagine a tool that could predict a life-threatening condition.
Or an AI device that transforms how cancer care is delivered.
These technologies are real and already adopted.
but proving their safety and efficacy is tough.
Why?
AI evolves as it learns, making evidence tricky to gather.
Data shift and Data drift complicate things even more.
๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐ฐ๐ก๐ฒ ๐ญ๐ก๐ ๐๐ ๐๐ข๐ซ๐ฅ๐จ๐๐ค ๐ฉ๐ข๐ฅ๐จ๐ญ ๐ข๐ฌ ๐๐๐ข๐ง๐ ๐ข๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐๐ ๐ญ๐ก๐ข๐ฌ ๐ฐ๐๐๐ค.
Itโs a regulatory โ๐ฌ๐๐ง๐๐๐จ๐ฑโ run under Medicines and Healthcare products Regulatory Agency’s supervision.
The cohort of 5 startups will test their devices in virtual or simulated environments.
This will help them figure out how to generate evidence and acquire approval.
The 5 startups selected:
- Lenus Health (Craig Turpie)
- Philips (Atul Gupta, MD)
- Newton’s Tree (Haris Shuaib)
- OncoFlow (Aruni Ghose)
- Automedicaย
The aim for this ‘sandbox’ is to create a tailored regulatory framework built for AI.
This framework will give startups a clearer path to approval.
Which means faster access for the NHS and our patients to AI products.
Innovating safely in a rapid rate once sounded novel in healthcare, I’m optimistic that this will be a reality in the upcoming few years.
Do you think slow regulations is the current biggest bottleneck that AI in healthcare faces?”
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