Over the past year, significant strides have been made in the integration of AI in cancer diagnosis, with more clinicians incorporating AI tools into their daily practices. Skin cancer, in particular, stands to benefit greatly from AI diagnostic advancements, and its widespread use is expected to grow in the near future.
A 2024 study from Stanford Medicine highlights how AI can enhance the detection of skin cancer. In the study, clinicians were tested on their ability to diagnose at least one case of skin cancer, both with and without the support of AI-driven deep learning tools. Results showed that clinicians without AI assistance had an average sensitivity of 74.8%, while those using AI achieved a higher sensitivity of 81.1%. Notably, the improvement was most pronounced among non-specialists, demonstrating AI’s potential to aid medical professionals across different experience levels.
AI and Behavioural Changes in Skin Cancer Detection
Skin cancer rates are rising, particularly among younger populations. According to research published in BMJ Oncology, the global cancer rate among those under 50 has surged by almost 80% over the past 30 years. Melanoma, a serious form of skin cancer, has also seen a 38% rise in incidence in the last decade, with Spain recording a 2.4% annual increase.
Early detection of skin cancer greatly improves treatment outcomes. However, hectic schedules and other priorities often prevent people from seeking medical evaluations promptly, leading to delayed diagnoses and poorer survival rates. Research from Bupa, titled Attitudes Towards Digital Healthcare, found that only 9% of people would immediately consult a doctor about a concerning mole.
The same study showed that if people could assess a mole using an AI-powered app at their convenience, the percentage of those seeking evaluation more than tripled to 33%. This underscores the potential for emerging technology to drive positive changes in health-seeking behaviours, ultimately improving clinical outcomes for serious diseases like skin cancer.
At-Home Dermatology with AI Assistance
Recognising the potential of AI, Bupa has begun integrating it into various healthcare services to improve patient care and efficiency. Bupa aims to be a continuous partner in health, not only when individuals are sick but by helping them stay well.
To meet the demand for more accessible healthcare, Bupa launched Blua, a digital health service available in over 200 countries. Blua offers three key innovations: virtual consultations for connecting with healthcare professionals remotely, digital health programs for proactive health management, and remote healthcare services such as prescription delivery and monitoring equipment for use at home.
In Spain, Blua now includes an at-home dermatology assessment service. Customers can take high-resolution photos of skin lesions with their smartphones, which are then uploaded to the Blua platform. AI compares these images to a vast database of millions of skin lesion photos, assessing them for potential malignancies.
The AI tool is capable of distinguishing between 302 different skin conditions. If the system flags any cause for concern, the customer is notified to schedule a follow-up consultation with a doctor for further evaluation and, if necessary, preventative treatment.
The Future of Healthcare: Early Detection and Prevention
AI-powered digital healthcare tools like Blua are breaking down barriers that prevent timely health evaluations. By promoting convenient access to medical care, these tools encourage people to take action early, helping to prevent serious conditions from developing unchecked. In today’s fast-paced world, where time is often a limiting factor, AI-driven solutions are empowering individuals to prioritise their health without sacrificing convenience. Early detection and prevention, facilitated by such technology, are key to improving health outcomes and saving lives.