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Dr. Justin M. Ko
Given that about 6.3 billion smartphones would soon be in use, this AI approach could provide a gateway for “low-cost universal access to vital diagnostic care,” wrote Justin M. Ko, MD, MBA, a dermatologist, and colleagues from Stanford (Calif.) University that included other dermatologists and engineers.
Dr. Ko and his coauthors described how they trained a computer system to identify both benign and cancerous skin lesions. They used an approach known as a convolutional neural network, often deployed for projects seeking to train computers to “see” through image analysis. They said that their test of this system found it to be on par with the performance of 21 board-certified dermatologists.
“This fast, scalable method is deployable on mobile devices and holds the potential for substantial clinical impact, including broadening the scope of primary care practice and augmenting clinical decision-making for dermatology specialists,” they wrote in their paper.
More than 6 years later, there are signs that companies are making progress toward moving skin checks using this technology into U.S. primary care settings – but only with devices that employ special tools.
It may prove tougher for companies to eventually secure the sign-off of the U.S. Food and Drug Administration for mobile apps intended to let consumers handle this task with smartphones.
Such tools would need to be proven highly accurate before release, because too many false positives mean that people would be needlessly exposed to biopsies, said Sancy A. Leachman, MD, PhD, director of the melanoma research program and chair of the department of dermatology at Oregon Health & Science University, Portland.
Dr. Sancy A. Leachman
And false-negative readings would allow melanoma to advance and even be fatal, Dr. Leachman told this news organization.
Roxana Daneshjou, MD, PhD, a dermatologist at Stanford who has studied the promise and the pitfalls of AI in medicine, said that developers of a consumer skin-check app would need to know how people would react to their readings. That includes a good sense of how often they would appropriately seek medical care for a concerning reading. (She was not an author of the previously cited Nature paper but has published widely on AI.)
Christopher Smith
Dr. Roxana Daneshjou
“The direct-to-consumer diagnostic space makes me nervous,” Dr. Daneshjou said in an interview. “In order to do it, you really need to have good studies in consumer populations prior to release. You need to show how effective it is with follow up.”
FDA shows interest – and reservations
As of July, the FDA had not yet given its okay for marketing of any consumer apps intended to help people detect signs of skin cancer, an agency spokesperson told this news organization.
To date, the agency has only cleared two AI-based products for this task, both meant to be used by dermatologists. And only one of these two products, Scibase’s Nevisense, remains in use in the United States. The other, MelaFind, has been discontinued. In 2017, Strata Skin Sciences said that the product did not win “a significant enough level of acceptance by dermatologists to justify the continued investment” in it. And the company said it notified the 90 owners of MelaFind devices in the United States that it would no longer support the device.
But another company, DermaSensor, said in a 2021 press release that it expects its AI-powered tool, also named DermaSensor, to be the “first ever FDA cleared or approved skin cancer detection device for primary care providers.”
The Miami-based firm said that the FDA had granted its product a “breakthrough” device designation. A breakthrough designation means that agency staff will offer extra help and guidance to companies in developing a product, because of its expected benefit for patients.
In a 2020 press release, 3Derm Systems, now owned by Digital Diagnostics, made a similar announcement about winning FDA breakthrough designation for an AI-powered tool intended to allow skin checks in primary care settings.
(The FDA generally does not comment on its reviews of experimental drugs and devices, but companies can do so. Several other companies have announced FDA breakthrough designations for AI-driven products intended to check for skin lesions, but these might be used in settings other than primary care.)
Both DermaSensor and Digital Diagnostics have chairs with notable track records for winning FDA approvals of other devices. DermaSensor’s Maurice Ferre, MD, also is the chairman of Insightec, which in 2016 won the first FDA approval for a device with a breakthrough designation device that uses ultrasound to treat tremors.
In 2018, the FDA allowed Digital Diagnostics, then called IDx, to introduce in the United States the first medical device using AI in primary care offices to check for signs of diabetic retinopathy. This product also had an FDA breakthrough designation. The executive chairman and founder of Digital Diagnostics is Michael Abramoff, MD, PhD, professor of engineering and ophthalmology at the University of Iowa, Iowa City. Dr. Abramoff and the team behind the AI tool for retinopathy, now called the LumineticsCore system, also scored a notable win with Medicare, which agreed to cover use of the product through a dedicated CPT code.
FDA draft guidance
The FDA has acknowledged the interest in broadening access to skin checks via AI.
This was a topic of discussion at a 2-day advisory committee meeting the FDA held last year. In April 2023, the FDA outlined some of its expectations for future regulation of skin-analyzing tools as part of a wide-ranging draft guidance document intended to aid companies in their efforts to develop products using a form of AI known as machine learning.
In the document, the FDA described how it might approach applications for “hypothetical” devices using this kind of AI, such as a special tool to help primary care clinicians identify lesions in need of further investigation. Such a product would use a specific camera for gathering data for its initial clearance, in the FDA’s hypothetical scenario.
The FDA staff offered technical suggestions about what the developer of this hypothetical device would have to do to extend its use to smartphones and tablets while keeping clinicians as the intended users.
Some of these expanded uses could fall within the bounds of the FDA’s initial clearance and thus not trigger a need for a new marketing submission, the agency said. But seeking to shift this hypothetical product to “patient-facing” use would require a new marketing submission to the FDA, the agency said.
In this scenario, a company would expect people to follow up with a dermatologist after receiving a report suggesting cancer. Thus, this kind of a change could expose patients to “many new, unconsidered risks,” the FDA said.