Medical Imaging & Technology Alliance
FDANonrulemakingFDA-2019-N-1185

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

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Aug 8, 2024
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closed 1716d ago
Medical Imaging & Technology Alliance filings
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Activity

Medical Imaging & Technology Alliance filed 2 comments on this docket between Nov 12, 2021 and Feb 17, 2022. 3 other organizations filed here. The comment window closed 1716d ago.

What Medical Imaging & Technology Alliance filed (2)

Feb 17, 2022· Comment from Medical Imaging & Technology Alliance (MITA)· FDA-2019-N-1185-0158

As the leading trade association representing the manufacturers of medical imaging equipment, radiopharmaceuticals, contrast media, and focused ultrasound therapeutic devices, the Medical Imaging & Technology Alliance (MITA) and its Members applaud the continued work by the US Food and Drug Administration (FDA) towards a workable regulatory framework that enables innovative Artificial Intelligence (AI) and Machine Learning (ML) medical devices to improve patient care and healthcare delivery. We submit the attached comments in support of that effort.

Nov 12, 2021· Comment from Medical Imaging & Technology Alliance (MITA)· FDA-2019-N-1185-0144

As the leading trade association representing the manufacturers of medical imaging equipment, radiopharmaceuticals, contrast media, and focused ultrasound therapeutic devices, the Medical Imaging & Technology Alliance (MITA) supports the Food & Drug Administration (FDA) in its ongoing efforts to address concerns related to Artificial Intelligence/Machine Learning-enabled Medical Devices (AI/ML Medical Devices). MITA offers the attached comments in support of those efforts.

Abstract

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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 (FDA) — Medical Imaging & Technology Alliance | OpenPolis