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June 27, 2025
Skin cancer continues to be one of the most commonly diagnosed cancers in Australia, with thousands of new cases reported every year. Early detection remains the most important factor in achieving successful treatment outcomes. In recent years, advances in medical technology have revolutionised the way skin cancer is detected, offering more accuracy, faster results, and better patient outcomes.
In this article, Dr. Shaun Segal, an experienced skin cancer and skin care specialist in Australia, sheds light on the evolving role of technology in skin cancer diagnosis and why it’s reshaping the future of dermatological care.
Detecting skin cancer in its earliest stages significantly improves the chances of successful treatment, reduces the need for invasive procedures, and lowers the risk of spread. However, traditional methods such as visual inspections and biopsies can be time-consuming, subjective, and prone to human error.
Dr. Shaun Segal points out, “Technology is giving us tools to move beyond guesswork and improve the reliability of skin cancer detection. With advanced imaging and artificial intelligence, we’re able to detect changes that the human eye alone might miss.”
Dermoscopy is a non-invasive method of examining skin lesions using a handheld device that magnifies and illuminates the skin. Modern digital dermoscopy systems now capture high-resolution images and track skin changes over time.
According to Dr. Shaun Segal, this technology allows clinicians to store and compare images during follow-up visits, making it easier to spot subtle changes in moles or lesions that may indicate cancer development.
“Digital imaging gives us a visual timeline of a patient’s skin. This is particularly helpful for individuals with multiple moles or a history of skin cancer,” says Dr. Shaun Segal.
Total body photography involves capturing images of the entire skin surface to document existing lesions and create a baseline. This is especially useful for patients with a high number of atypical moles or a personal or family history of melanoma.
Dr. Shaun Segal explains, “With TBP, we can track new or evolving lesions with precision. It helps reduce unnecessary biopsies and improves patient monitoring.”
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AI is rapidly becoming a game-changer in dermatology. Trained on thousands of images, AI algorithms can analyse skin lesions and assess their likelihood of being benign or malignant.
In some cases, AI has demonstrated diagnostic accuracy comparable to or even surpassing experienced dermatologists.
“AI doesn’t replace clinical judgment,” says Dr. Shaun Segal, “but it serves as a valuable second opinion. It’s especially useful in rural or remote areas where access to specialists may be limited.”
Teledermatology allows patients to send images of suspicious skin lesions to specialists for remote review. This has proven essential during the COVID-19 pandemic and continues to improve access to care across Australia.
“Technology is closing the gap for patients who can’t easily visit a clinic,” notes Dr. Shaun Segal. “A quick image and digital consultation can lead to faster triaging and early referrals when needed.”
Emerging technologies such as reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) allow dermatologists to examine skin tissue at a microscopic level—without making an incision.
While these tools are still gaining widespread use, Dr. Shaun Segal believes they represent the future of pain-free, rapid, and accurate skin cancer assessment.
“These innovations could reduce the number of unnecessary biopsies, making the diagnostic process smoother for patients,” he adds.
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Dr. Shaun Segal emphasizes, “Technology in skin cancer detection is not about replacing the dermatologist—it’s about empowering clinicians and providing better care for patients.”
Despite the advantages, Dr. Shaun Segal cautions that technology should complement—not replace—clinical expertise. Misinterpretation of images, limitations in AI datasets, and inconsistent access to equipment can affect results.
“It’s important to combine advanced tools with professional knowledge and patient history to make the most informed decisions,” he says.
The integration of cutting-edge technology into skin cancer detection is transforming the way clinicians diagnose and manage the disease. With tools like digital dermoscopy, AI-assisted analysis, and non-invasive imaging, patients are now able to access faster, safer, and more accurate assessments.
Dr. Shaun Segal remains at the forefront of this transformation, blending advanced diagnostic tools with compassionate, evidence-based care. His approach ensures that patients not only receive the latest in medical technology but also benefit from years of hands-on experience and personal attention.
“In skin cancer, early detection saves lives. And today, technology is helping us detect earlier than ever before,” says Dr. Shaun Segal.