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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  • Patient sleeping with connected IoT medical sensors sending data to the cloud.

    Many of the medical devices created at Starfish take advantage of sensors to convert the real world into digital data that can be understood by computers.

  • High-fidelity handheld medical device concept created through generative AI prototyping tools.

    Generative AI is gaining significant attention across industries, and MedTech is no exception. While some tools may still feel like entertaining curiosities, others are starting to make a real impact.

  • Brain-computer interface - A man wearing a brain-computer interface (BCI) headset sits in a clinical setting, concentrating as he appears to control a robotic arm with his mind. His head is overlaid with digital graphics representing brain activity. A doctor in a white lab coat stands nearby, monitoring the interaction. Onscreen data displays in the background suggest medical or neurological analysis. Bold text on the image reads "Brain-Controlled Tech?"

    We explore the world of brain-computer interfaces (BCIs) and the challenges of capturing thought into action. Mark Drlik and Ariana Wilson walk through how these systems translate brain activity into control signals for devices—without needing surgical implants.

  • FDA use of AI in medical device review - A computer chip labeled "AI" on the left side is connected by a black arrow pointing to the right, where wooden blocks stacked vertically spell out "FDA." Above the image is a bold caption that says "They're doing it!" in white text on a black background. The image suggests the FDA is adopting AI technology.

    Ariana Wilson and Mark Drlik dive into how the FDA is adopting artificial intelligence to modernize its regulatory processes. With a new chief AI officer in place and rumors of collaboration with OpenAI, the agency is taking major steps to automate review workflows and improve efficiency.

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

  • A futuristic smartwatch displaying biometric data on its screen, set against a glowing blue background with abstract graphs. Bold text reads "Where's my Cortisol-Sensing Watch?" in a mix of grey, purple, and black fonts.

    Nick and Joris tackle a question many tech and health enthusiasts have wondered for years: Where is my cortisol-sensing smartwatch? Nick shares a nostalgic story of reading about futuristic wearable technology in Popular Mechanics as a child — devices that would one day monitor biomarkers like cortisol to track stress and overall health. Now, decades later, he and Joris break down why such a wearable device still hasn't become a reality.

  • Predetermined Change Control Plans Accessibility Alt description: FDA sign in front of FDA building that says "U.S. Department of. health and Human Services Food and Drug Administration"

    Predetermined Change Control Plans (PCCPs) Draft Guidance with Implications for Medical Device Manufacturers and regulatory framework

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

    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.

  • AI Medical Device Development

    9 ways to use AI in medical device development from our experts include Connected Medical Devices, QA/RA, Developing (real time) Simulations, Expedite Design Process, Analysis and Research, Supplier Evaluations, Project Reviews, Brainstorming, and Administrative Help (Faster than Google).