With AI transforming most business sectors within the global economy, it offers little surprise this evolution created various myths.
This is the case in the medical technology world, where AI improves diagnoses and image analysis, among other use-cases. Still, a few fallacies ultimately distract from the positive results currently achieved by AI and machine learning in medicine.
Let’s explore some current myths of AI in the medical technology industry, with the hope of dispelling those falsehoods. Use this information to gain a better understanding of how AI is currently making a difference in healthcare. You also learn more about the intriguing possibilities for its use in the future.
What Are Some Myths About AI in Medical Technology?
AI in Medical Devices is Unregulated?
One myth related to AI and machine learning in medical devices involves the supposed lack of regulation. After all, this technology remains in an emerging state, so any regulatory standards quickly become obsolete.
Notably, the FDA provided regulatory approval for the first AI-powered medical device way back in 1995! Over the last nearly 30 years, the agency approved over 600 devices with embedded AI for use in healthcare. Rest assured that any AI-enabled device or system used in a hospital or medical office boasts full FDA approval.
The agency fully tests all algorithms and ML models used in the relevant device and/or system. The FDA also worked with similar agencies in Canada and the UK to develop the Good Machine Learning Practice. This GMLP standard also provides insights on change control practices to ensure device efficacy after it hits the market.
AI results in an increase in False Medical Imaging?
The wide popularity of Generative AI, especially ChatGPT, introduced the public to the promise of artificial intelligence. However, GenAI is also known for many inaccuracies in both its textual answers and generated images. Naturally, that wide exposure leaves many wondering about similar false results in AI-powered medical imaging.
Simply stated, AI-enabled medical devices don’t have generative AI. In fact, any algorithms used in this equipment become immutable as far as FDA approval is concerned. As such, any changes require submitting to the change control practices mentioned earlier. In essence, the FDA needs to reapprove these devices after any modifications; GenAI does not apply in this scenario.
AI is replacing Doctors and Nurses?
No, AI replacing doctors, nurses, and other highly-trained medical professionals remains another well-publicized myth. AI-powered devices simply make healthcare talent more effective and efficient at their jobs. Expect these tools to result in better patient care both now and in the future.
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