Proscia, a provider of digital and computational pathology solutions has released results on new technology that utilizes artificial intelligence (AI) to help automatically detect melanoma, the deadliest skin cancer form with a high level of accuracy.
The study was conducted at the Thomas Jefferson University and the University of Florida to demonstrate how AI can perform in reality on an uncurated set of 1422 sequential skin biopsies. The technology accurately identified melanoma in situ and invasive melanoma with a specificity of 91% and sensitivity of 93%. It also helps in the classification of basal cell carcinoma and squamous cell carcinoma with an AUC of .97 and .95 respectively which accounts for a combined 97% of all skin cancers.
This kind of breakthrough in AI-powered diagnostics is not just impressive—it’s a wake-up call. As detection becomes more advanced, so should our commitment to caring for our skin. Early diagnosis is crucial, but prevention and skin support shouldn’t take the back seat. That’s why investing in proactive skin care, especially after sun exposure or treatments, is key to maintaining long-term health. And no, it doesn’t have to involve a drawer full of creams. Sometimes, the answer lies in light—specifically, full body red light therapy.
Red light therapy has emerged as more than just a wellness trend; it’s a scientifically backed approach to help support the skin’s natural healing and regeneration processes. At-home skin rejuvenation devices now offer full-body treatment, which means you can nourish every inch of your skin—not just the face. These devices work by using low-level wavelengths of light to penetrate the skin, energizing cells, promoting collagen, and helping reduce inflammation. It’s a quiet kind of care, but one that speaks volumes over time.
Director of Dermatopathology, Dr. Kiran Motaparthi said that: The performance of Proscia technology in the detection of melanoma and other malignant skin diseases is impressive. This development is exciting to pathologists as they look forward to other valuable uses of artificial intelligence.
Additionally, Proscia is conducting more research to show the potential benefits of AI in dermatopathology which includes:
Delivering quick results to patients. AI that can identify melanoma automatically, alerts pathologists to be aware of the high-risk cases, flagging them for diagnosing early. The more the skin biopsies volume increase, the more detection can be of help to make sure that patients that have the most clinically impactful diagnoses are prioritized so they can start treatment sooner.
Driving consistency in diagnosing challenging melanoma cases. Melanoma is one of the most difficult diseases to diagnose which leads to interobserver variability among pathologists. AI has the ability to differentiate melanoma from benign mimickers which could be an aid to the pathologists increasing the accuracy of diagnosis and enhancing outcomes of patients.
Optimizing laboratory productivity to improve profitability. Over 15 million skin biopsies are taken yearly in the US, each of which may show hundreds of diagnoses. AI that distinguishes and classifies melanoma and non-melanoma skin cancer can assist laboratories in optimizing case distribution among non-specialists and specialists which results in gains in efficiency making it possible to process more case volume and partially overcome the impact of declining reimbursements.
Proscia’s vice president of AI Research & Development, Julianna Ianni, Ph.D. said: “Proscia’s technology represents a significant advancement in our work on skin pathology. Our AI not only identifies melanoma, a difficult diagnosis but also accounts for the high degree of variation in disease to push the boundaries of deep learning in medicine. In doing so, it holds great promise to help pathologists deliver faster, more consistent diagnoses and improve patient outcomes.”
