Artificial intelligence is transforming healthcare, offering novel tools for computer aided diagnosis that can assist the clinicians in their decision making.
One of the innovation introduced in iToBoS is the AI Cognitive Assistant, an AI-based system designed to assist doctors in detecting and assessing the risk of melanoma, the most aggressive type of skin cancer. Developed as part of the iToBoS project, the iToBoS cognitive assistant combines multiple sources of information regarding the patients and their lesions, including medical history, genetic data, total body photography images, as well as dermsocopy images to provide a comprehensive risk assessment for melanoma and other skin malignancies. The goal of the cognitive assistant is not to replace doctors, but rather enhances their ability to detect potential skin cancer cases earlier and with greater accuracy. Using advanced machine learning, the system can analyze skin lesions, track changes over time, and provide risk scores that help dermatologists make better-informed decisions.
What makes the iToBoS cognitive assistant special is its holistic approach. The system does not just look at one factor but integrates clinical, imaging, and genetic data to assess a patient’s overall risk. It works in a cloud-based system, ensuring scalability, security, and easy access for medical professionals. With AI-driven insights and explainability features, doctors can understand why certain risks are flagged, making the system a trustworthy and transparent medical tool. As AI continues to evolve, cognitive assistants like this will play a vital role in improving early diagnosis and saving lives, making healthcare more efficient, accessible, and personalized.
Figure: Basic components and data sources of the iToBoS AI Cognitive Assistant