Trilateral Research Works to Remove AI Bias in Skin Cancer Detection

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Trilateral Research is developing a cutting-edge AI-powered screening tool aimed at enhancing early melanoma detection.

In collaboration with healthcare providers, AI developers, and research institutions, Trilateral is contributing to the iToBoS Project (Intelligent Total Body Scanner for Early Detection of Melanoma). This system integrates AI and advanced imaging technology to provide a more detailed and comprehensive approach to skin health analysis.

A significant challenge in AI-driven skin cancer detection is bias, as many existing models rely on narrow datasets that do not adequately represent diverse skin types. This can result in inaccurate diagnoses and disparities in patient outcomes, particularly for underrepresented groups.

To address this, Trilateral is dedicated to minimising bias within the iToBoS tool, making it more transparent, inclusive, and effective across all skin types. The team is actively working with partners to refine AI technology in skin cancer detection, ensuring that diagnoses are consistent and equitable for all patients.

As part of the iToBoS project, Trilateral has conducted a comprehensive evaluation of the AI system, ensuring it operates fairly, transparently, and inclusively by utilising a diverse and representative dataset.

A vital element of this initiative is the Risk Assessment Model, developed by the National Technical University of Athens (NTUA), which assesses the reliability of AI-based diagnoses and highlights areas for improvement. Trilateral’s experts have provided strategic recommendations to enhance inclusivity, strengthen decision-making, and ensure the AI tool delivers accurate and fair results for all patients.

Trilateral and its partners are continuously improving how the AI system processes and learns from patient data, expanding its ability to accurately detect melanoma across all skin types. By incorporating best practices in fairness and transparency, the system is being designed to be both adaptable and dependable for clinical use. The iToBoS project aligns with Trilateral’s overarching mission to ensure that AI technology is developed responsibly and meets ethical and regulatory requirements.

By setting new standards for fairness and ethical deployment, the iToBoS project is shaping the future of AI in healthcare. Trilateral Research remains committed to advancing AI-driven solutions that prioritise patient safety, accuracy, and fairness, ensuring technological progress benefits all communities equally.

To learn more about Trilateral Research, its products, services, or research innovations, visit: https://trilateralresearch.com/contact-us.