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I (Mike Russell) attended the neXus conference on medical device standards this year. Below are some observations and suggested takeaways from the talks I heard and the panel I was on. Remember, these are just selected highlights, not everything said 🙂 Session: Reducing Submission Rejections and Recalls with Software Standards This year’s conference added a third...
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The Open Worldwide Application Security Project (OWASP) released a white paper titled OWASP Top 10 for LLM.  The introduction states, The frenzy of interest of Large Language Models (LLMs) following of mass-market pre- trained chatbots in late 2022 has been remarkable. Businesses, eager to harness the potential of LLMs, are rapidly integrating them into their...
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The US FDA has a continuous challenge trying to ensure that regulations keep up with advancements in technology.  As with any new technology, manufacturers try and make the existing regulations applicable, while FDA assesses whether or not existing regulations are appropriate for the new technology.  This involves FDA collecting data to inform whether new and/or creative...
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FDA Draft Submission Guidance AI/ML For Use of AI/Machine Learning-Enabled Device Software Functions Almost every day there is another news story about something involving “artificial intelligence.” So it seems timely that the FDA has just released a draft guidance for Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning (AI/ML)-Enabled Device...
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(Med-TechNews, December 12, 2022). Sir Nicholas Wright and Digistain in the UK has created a new tool to aid the early detection of breast cancer. Based on clinical trials, this new development is helping those eligible successfully avoid chemotherapy through earlier and more personalized test results. This allows patients more time to make decisions, less...
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This September 2021 Standards Navigator Report content is only available to Standards Navigator subscribers. See our Subscribe page for information on subscriptions. SoftwareCPR® Standards Navigator provides information and tools related to standards that play a significant role in health software and software intensive medical devices.  In addition to information on existing standards, our report keeps you...
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You may be interested in attending the FDA Virtual Public Workshop, “Transparency of Artificial Intelligence/Machine Learning-enabled Medical Devices,” planned for October 14, 2021.   Info on attending:  https://www.fda.gov/medical-devices/workshops-conferences-medical-devices/virtual-public-workshop-transparency-artificial-intelligencemachine-learning-enabled-medical-devices  
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Jonathan Zittrain and John Bowers of the Berkman Klein Center; Samuel Finlayson, Zachary Kohane, and Andrew Beam of Harvard Medical School; and Joichi Ito of the MIT Media Lab have published an article in Science highlighting potential uses of adversarial attacks on machine learning systems in the medical context.
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This July 2021 Standards Navigator Report content is only available to Standards Navigator subscribers. See our Subscribe page for information on subscriptions. SoftwareCPR® Standards Navigator provides information and tools related to standards that play a significant role in health software and software intensive medical devices.  In addition to information on existing standards, our report keeps you...
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In 2018, Google Health began a program in Thailand to screen for diabetic retinopathy using artificial intelligence (AI). The AI was designed to analyze photos of diabetic patients’ eyes to detect signs of eye disease. The AI was promising in theory – during testing, it was 90% accurate in detecting diabetic retinopathy in eye scans,...
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On July 16, 2020, FDA issued 510(k) Approval for AI Imaging Analytics Device HealthMammo, a device manufactured by Zebra Medical Vision Ltd. As reported in the New York Times, HealthMammo is an artificial intelligence (AI) product that analyzes mammograms for suspicious lesions. Radiologists can use the HealthMammo results to prioritize which mammogram images need attention...
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On February 25-26, 2020 the U.S. Food and Drug Administration (FDA) held a public workshop to discuss the “Evolving Role of Artificial Intelligence in Radiological Imaging.” The comment period for the public workshop is extended to June 30, 2020, in response to requests for an extension to allow stakeholders additional time to submit comments.
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FDA Regulation of Artificial Intelligence (AI) and Machine Learning in Software as a Medical Device On April 2, 2019, the FDA published a discussion paper “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) – Discussion Paper and Request for Feedback” that describes the FDA’s foundation for a...
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SoftwareCPR Training Courses:

IEC 62304 and other emerging standards for Medical Device and HealthIT Software

Our flagship course for preparing regulatory, quality, engineering, operations, and others for the activities and documentation expected for IEC 62304 conformance and for FDA expectations. The goal is to educate on the intent and purpose so that the participants are able to make informed decisions in the future.  Focus is not simply what the standard says, but what is meant and discuss examples and approaches one might implement to comply.  Special deep discount pricing available to FDA attendees and other regulators.

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Being Agile & Yet Compliant (Public or Private)

Our SoftwareCPR unique approach to incorporating agile and lean engineering to your medical device software process training course is now open for scheduling!

  • Agile principles that align well with medical
  • Backlog management
  • Agile risk management
  • Incremental and iterative software development lifecycle management
  •  Frequent release management
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2-days onsite (4 days virtual) with group exercises, quizzes, examples, Q&A.

Instructors: Mike Russell, Ron Baerg

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Medical Device Cybersecurity (Public or Private)

This course takes a deep dive into the US FDA expectations for cybersecurity activities in the product development process with central focus on the cybersecurity risk analysis process. Overall approach will be tied to relevant standards and FDA guidance documentation. The course will follow the ISO 14971:2019 framework for overall structure but utilize IEC 62304, IEC 81001-5-1, and AAMI TIR57 for specific details regarding cybersecurity planning, risk characterization, threat modeling, and control strategies.

2-days onsite with group exercises, quizzes, examples, Q&A.

Instructor: Dr Peter Rech, 2nd instructor (optional)

Next public offering:  TBD

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