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AI tool makes detection of skin cancer more accurate
Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...
The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
One in five Americans will develop skin cancer by the age of 70. That’s why regular skin checks are important for early detection along with consulting a doctor if you notice any unusual lesions or ...
Please provide your email address to receive an email when new articles are posted on . Solid organ transplant recipients are 7.8 times more likely to develop skin cancer. Risk-stratified surveillance ...
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