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Dubai: What is delaying AI adoption in healthcare? It's not coding, says expert
'Regulations should behave as a gatekeeper, not as a gate blocker,' the expert added
- PUBLISHED: Mon 21 Apr 2025, 5:56 PM UPDATED: Mon 21 Apr 2025, 5:57 PM
Regulations, not technology, are the bottleneck when it comes to trust in embracing and adopting artificial intelligence (AI) in healthcare, experts said at Dubai AI Week on Monday.
“The truth is that the bottleneck in AI evolution is not technology. It is not coming from coding. It's coming from regulations. If you want to deploy AI on a large scale, regulations should behave as a gatekeeper, not as a gate blocker.
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Of course, we have to consider "patients' protection, quality, safety, and protection of the data,” said Remy Levastre, strategic healthcare consultant, at a panel discussion titled “Adopting AI in Healthcare: Unleashing its Potential While Mitigating Risks.”
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Among the regulatory bodies, he noted that the European regulatory body is very structured and cautious while the Food and Drugs Administration (FDA) in the US is a more complex regulatory body.
He hailed the UAE Ministry of Health and Prevention for its contributions towards the AI sandbox where all data and tools can be tested.
“In the UAE, we are very lucky because we have this kind of regulator working collaboratively with the ecosystem,” he said.
Learn from past errors
Over the years, many companies in various countries have developed AI solutions, such as ChatGPT and DeepSeek, in a way that reflects the views and policies of these governments, which led many independent analysts to term the approach "biased and partial".
Joelle Zaran-Rosenfield, co-founder of 2MO, said that if the industry doesn't learn from its past errors, then it will build AI tools that have that bias. “So we need to be very careful in building and getting the right data.”
She added that her company’s mission is to build a localized AI medical tool that will serve GCC people.
“This is the challenge here. When we speak about data collection, it is important to have the right data, the right quality and how to protect the privacy of these people.”
“We need to have good data to use AI. If we don't have good data, we're going to carry biases. So we need to make sure that our data is good and everything is checked,” she added.
