AI is already part of everyday life, from what you watch to how you shop. Now it may be stepping into something more meaningful: predicting your risk of skin cancer before it ever appears.
As reported by ScienceDaily, a new study from the University of Gothenburg analyzed health data from more than six million adults and found that AI models could flag people at higher risk for melanoma up to five years before diagnosis. The most compelling part: it didn’t rely on specialized scans or genetic testing, but on routine medical data like age, diagnoses and medication history.
What the Study Found
Researchers analyzed standard health data, including age, sex, medical history, medications and socioeconomic factors. Using that information, the most advanced AI model correctly distinguished between people who went on to develop melanoma and those who did not about 73 percent of the time. More basic models, using only age and sex, reached about 64 percent accuracy.
The most notable finding was how clearly the system identified high-risk groups. Among those flagged, the chance of developing melanoma within five years reached as high as 33 percent. That is a big jump considering the average lifetime risk of melanoma is around 2 percent.
How This Can Change Future Screenings
The research team sees this as a shift toward more personalized screening. “Selective screening of small, high-risk groups could lead to both more accurate monitoring and more efficient use of health-care resources,” said associate professor of dermatology and venereology at the University of Gothenburg, Sam Polesie, MD. This could mean earlier check-ins, more consistent monitoring and potentially catching melanoma at a more treatable stage.
While this technology is yet to be available to the masses, researchers say more studies are needed before it can be widely used. Still, it offers a clear look at where skin cancer detection is headed.
