Standards, Guidance & Notices
Showing 41–50 of 129
FDA
CDRH
CDRH
FDA-AI-DSF-Draft-2025
Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations
FDA draft guidance (January 2025) on lifecycle management and marketing submissions for AI/ML-enabled SaMD. It provides specific recommendations on training data management, performance monitoring, and change management (PCCP: Predetermined Change Control Plan), including recommendations on handling adaptive algorithms and on describing postmarket performance monitoring plans. Still at the draft stage, pending finalization.
Published: 2025-01-07
ISO
ISO/TS 81001-2-1:2025
Health software and health IT systems safety, effectiveness and security — Part 2-1: Coordination — Guidance and requirements for the use of assurance cases for safety and security
Establishes requirements and guidance on assurance case framework for healthcare delivery organizations and health software manufacturers.
Published: 2025-01-01
JFMDA
Notice
Notice
jfmda_20241226_146b6000
Guidance for Companies on the Development of AI Medical Devices Using Pseudonymously Processed Information, Version 1.0
On December 25, 2024, Team 1 of the JFMDA Subcommittee on Handling of Personal Information compiled and published the "Guidance for Companies on the Development of AI Medical Devices Using Pseudonymously Processed Information, Version 1.0." On the same date, the Medical Device Evaluation Division of the MHLW Pharmaceutical Safety Bureau issued an administrative notice providing information on the guidance. As explained in Chapter 0 (Background and Purpose) of the guidance, developing AI-enabled medical devices generally requires large volumes of medical data, such as clinical information, images (CT, MRI, etc.), and other non-text information (ECG, EEG, etc.). However, medical information held by medical institutions generally constitutes personal data under the Act on the Protection of Personal Information, and it is usually not collected for the purpose of AI medical device research and development.
Published: 2024-12-26
FDA
CDRH
CDRH
FDA-PCCP-AI-DSF-2024
Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence-Enabled Device Software Functions
FDA final guidance (December 2024) on Predetermined Change Control Plans (PCCPs), which streamline change management for AI-enabled medical devices. Modifications described in an authorized PCCP can be implemented without a new premarket submission for each change. It specifies the three elements a PCCP should include: a description of modifications, a modification protocol, and an impact assessment. It puts into practice the statutory framework of section 515C of the FD&C Act, added by FDORA.
Published: 2024-12-04
NIST
SP
SP
SP 800-161 Rev. 1
Cybersecurity Supply Chain Risk Management Practices for Systems and Organizations
Organizations are concerned about the risks associated with products and services that may potentially contain malicious functionality, are counterfeit, or are vulnerable due to poor manufacturing and development practices within the supply chain. These risks are associated with an enterprise’s decreased visibility into and understanding of how the technology they acquire is developed, integrated, and deployed or the processes, procedures, standards, and practices used to ensure the security, resilience, reliability, safety, integrity, and quality of the products and services.
This publication provides guidance to organizations on identifying, assessing, and mitigating cybersecurity risks throughout the supply chain at all levels of their organizations. The publication integrates cybersecurity supply chain risk management (C-SCRM) into risk management activities by applying a multilevel, C-SCRM-specific approach, including guidance on the development of C-SCRM strategy implementation
Published: 2024-11-01
EU
MDCG
MDCG
MDCG 2024-11
Guidance on qualification of in vitro diagnostic medical devices
Guidance (MDCG 2024-11, published October 2024) on how to determine whether a product qualifies as an in vitro diagnostic medical device (IVD) or IVD accessory under the IVDR (Regulation (EU) 2017/746). It sets out the general principle that qualification depends on the intended purpose given by the manufacturer, as indicated on labelling or in promotional material, and applies the definitions in Article 2(2) and 2(4) of the IVDR. The guidance provides a non-exhaustive set of examples to help distinguish IVDs from borderline cases, including devices falling under the MDR, non-medical products such as ancestry or lifestyle tests, and tests used to monitor the manufacturing of other products such as pharmaceuticals, and recommends using it alongside the Manual on borderline and classification.
Published: 2024-10-01
EU
MDCG
MDCG
MDCG 2022-5 rev.1
Guidance on borderline between medical devices and medicinal products under Regulation (EU) 2017/745 on medical devices
Revision 1 of MDCG 2022-5 (published 29 October 2024), guidance on the borderline between medical devices and medicinal products under the MDR (Regulation (EU) 2017/745). It covers the core concepts for making this distinction, including the definitions of pharmacological, immunological and metabolic means of action, the treatment of plant-based or herbal substances (to which the same principles as conventional medicinal substances apply), substance-based medical devices (where Rules 3 and 21 are relevant), and combination products of medical devices and medicinal products, illustrated with a flowchart of regulatory outcomes for different scenarios. It confirms that a product containing a medicinal substance can still qualify as a medical device where that substance plays an ancillary role and the principal intended effect is not achieved by pharmacological, immunological or metabolic means. Revision 1 adds new text on products intended solely for cleaning, disinfection or sterilization, clarifying that single-purpose products of this kind are medical devices, while multi-purpose disinfectants fall under the Biocidal Products Regulation (EU) No 528/2012.
Published: 2024-10-01
JFMDA
Notice
Notice
jfmda_20240924_7f46b062
SaMD Rebalance Notification (Staged Approval) Case Study Collection (Disease Diagnosis SaMD)
Case study collection (published 24 September 2024) prepared by the Japan Federation of Medical Devices Associations (JFMDA, Task Force on the Two-Stage Approval System, Program Medical Device Regulatory Response SWG), building on discussions with the Japan Digital Health Alliance (JaDHA), to promote understanding and appropriate use of the SaMD Rebalance Notification (the notice of 16 November 2023 on the handling of two-stage approval reflecting the characteristics of program medical devices). It covers disease-diagnosis SaMD, the companion volume to a treatment-use version published by JaDHA. The two-stage approval scheme mainly targets SaMD, such as programs that calculate physiological parameters from non-invasive measurements or imaging, that provide reference information whose clinical significance is not yet established; it excludes products where an incorrect result could seriously affect human life or health. The collection presents both applicable and non-applicable examples, intended as a reference for SaMD developers, including venture and IT companies, when planning development strategy and for discussions with regulatory authorities.
Published: 2024-09-24
NIST
SP
SP
SP 800-218A
Secure Software Development Practices for Generative AI and Dual-Use Foundation Models: An SSDF Community Profile
This document augments the secure software development practices and tasks defined in Secure Software Development Framework (SSDF) version 1.1 by adding practices, tasks, recommendations, considerations, notes, and informative references that are specific to AI model development throughout the software development life cycle. These additions are documented in the form of an SSDF Community Profile to support Executive Order (EO) 14110, Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, which tasked NIST with “developing a companion resource to the [SSDF] to incorporate secure development practices for generative AI and for dual-use foundation models.” This Community Profile is intended to be useful to the producers of AI models, the producers of AI systems that use those models, and the acquirers of those AI systems. This Profile should be used in conjunction with NIST Special Publication (SP) 800-218, Secure Software Development Framework (SSDF) Version 1.1:
Published: 2024-07-26
IMDRF
IMDRF/GRRP WG/N47 FINAL:2024 (Edition 2)
Essential Principles of Safety and Performance of Medical Devices and IVD Medical Devices
Edition 2 of the IMDRF guidance providing harmonized Essential Principles of Safety and Performance: the fundamental design and manufacturing requirements a manufacturer is expected to meet so that a medical device or IVD medical device is safe and performs as intended throughout its life cycle. Section 5 sets out principles that apply to all medical devices including IVD medical devices, Section 6 those for medical devices other than IVD medical devices, and Section 7 those that apply only to IVD medical devices. Design and manufacturing activities should be under the control of the manufacturer's quality management system, and conformity with the applicable principles is demonstrated and assessed according to procedures designated by the regulatory authority. The document uses "should" to indicate recommendations and reserves "must" for unavoidable situations, including those mandated by regulation. For the content of labeling, it refers to IMDRF/GRRP WG/N52.
Published: 2024-04-26
