The dermatoscopic appearance of scalp tumors, especially melanocytic scalp lesions, differs from that on other body areas.
The dermatoscopic appearance of scalp tumors, especially melanocytic scalp lesions, differs from that on other body areas.
Skin cancer is one of the most common cancers globally, with melanoma alone responsible for the majority of skin cancer-related deaths worldwide. Early and accurate detection remains the most effective…
Hair loss affects millions of people worldwide and represents one of the most frequently presenting concerns in dermatology clinics. Despite its prevalence, accurate and objective assessment of hair loss has…
Selecting the right dermatoscope is one of the most important equipment decisions a dermatology clinic makes. With skin cancer rates rising globally and clinical expectations for early detection increasing, the…
Explore the clinical and dermoscopic features of mixed-type basal cell carcinoma and how subtype patterns may support diagnosis and treatment decisions.
QSkin data reveals the rising cost of skin cancer in Australia, with keratinocyte cancer and melanoma expenditure increasing sharply over a decade.
See how an AI skin cancer detection system analyses lesions, supports clinical decisions and helps clinics improve triage, consistency and screening capacity.
Discover how mole mapping technology combines total body photography, dermoscopy and change tracking to support earlier melanoma detection and monitoring.
Compare AI melanoma detection systems for clinics, including how they work, accuracy, limitations, workflow integration and key options available in 2026.
Review which dermoscopic features best distinguish acral lentiginous melanoma from benign acral nevi and support earlier, standardised diagnosis.
Melanoma is the deadliest form of skin cancer, but when caught early it is also one of the most treatable. The challenge for clinicians, especially those outside specialist dermatology, is reliably…
How does artificial intelligence (AI) diagnostic performance compare to human dermatologists of varying experience for skin cancer detection in realistic clinical settings?