Resource Centre

Discover a wealth of knowledge and insights from the experts at StarFish Medical. Our Resource Centre offers product development tips, reviews of new and cutting-edge technologies, and in-depth articles on regulatory updates and compliance in medical device development.

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  • A composite image showing an eye processed through a sequence of transformations from left to right. The leftmost section displays a relatively clear image of a human eye with natural textures and lashes. Moving right, the image becomes increasingly abstract and pixelated through various digital processing techniques, including edge detection, binarization, contrast enhancement, and pixel block reduction. Each vertical segment represents a different stage or algorithm in the image processing pipeline, transitioning from high-resolution realism to low-resolution abstraction.

    Computer Vision: How computers see

    Computer Vision for Medical Devices is constantly evolving and incorporating new techniques and technologies as they emerge.

  • A glowing AI chip embedded within a futuristic black and gold circuit board, symbolizing advanced artificial intelligence and technological innovation.

    A Practical Future of Developing AI for Medical Devices

    Artificial intelligence (AI) has rapidly become a transformative force across industries, but its application in medical devices presents unique challenges. In his article "A Practical Future of Developing AI for Medical Devices" for MD+DI, Thor Tronrud, a Research and Data Analysis-Focused Software Engineer at StarFish Medical, sheds light on bridging knowledge gaps, navigating regulatory constraints, and developing robust AI solutions for medical devices.

  • Using AI In Medical Devices

    Using Language Models (AI) In Medical Devices Responsibly

    Risks, potential roles, and tips for using Large Language Models (LLM) or (AI) in medical devices effectively and responsibly. Role of AI in medical devices: In the medical field, generative language models, colloquially known as “AI” or "LLM" must be used responsibly to enhance the skills of clinicians or improve patient experience without exposing either to increased risk.

  • Medical Device AI Pitfalls

    Tips to Avoid Medical Device AI Pitfalls

    Exploration of the potential in using Medical Device AI with tips on how to avoid pitfalls in AI implementation.