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Magic Cursor

Powering the Next-Gen AI Medical Imaging Analytics

We are developing clinically accurate image analytic algorithms to supercharge large medical vision-language models.

The Problem

Current large vision-language models excel in conversational interfaces for healthcare, but fail at quantitative measurements, precise localization, and objective analysis of medical images.

Existing models often hallucinate or provide unreliable disease metrics, even when presented confidently, risking patient safety and undermining trust in AI-powered diagnosis.

Without reliable, regulatory-approved algorithms for clinical measurements, vision-language systems cannot deliver actionable, trustworthy diagnosis or gain approval for real-life medical use.

We are developing specialized, clinically validated quantitative computer vision models that can accurately measure, localize, and analyze medical images with performance that meets regulatory standards.

Combined 20+ years of developing medical AI solutions

Based in Oxford, our team has track record in developing clinical AI solution for the hospitals & clinics. We have help develop many AI solutions that are currently being used in public hospitals in asia. Impacting the lives of millions of people every year.

Research and Development100%
Deep Learning & AI100%
Medical Solution Testing and Validation100%

Latest Publications

  • We’re excited to share that our lab has officially joined the Wood Centre for Innovation in Oxford as a resident tenant. This vibrant hub is home to a dynamic community of innovators and entrepreneurs, especially those working at the forefront of health and life sciences, offering world-class facilities and an inspiring environment for growing businesses.

    Being based at the centre gives us direct access to Oxford’s exceptional talent pool, drawn from the city’s renowned universities, research hospitals, and thriving science and technology ecosystem. Surrounded by leading minds in health and life sciences, we’re in the ideal environment to accelerate our mission, foster new ideas, build strong partnerships, and drive real-world impact in our sector.

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