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Machine Learning › Bias › Medical Devices

Sheppard Mullin Richter & Hampton LLP

FDA Dumps Trio of Device-Related Guidances Prior to Administration Change

Sheppard Mullin Richter & Hampton LLP on

Among the wave of guidance documents issued by the U.S. Food and Drug Administration (“FDA” or the “Agency”) in the first week of 2025 were three notable draft guidance documents pertaining to medical devices (together, the...more

Akin Gump Strauss Hauer & Feld LLP

National Institutes of Health Develops AI Algorithm to Identify Potential Volunteers for Clinical Trials

Akin Gump Strauss Hauer & Feld LLP on

Researchers from the National Institutes of Health (NIH) have developed an algorithm that harnesses AI to help accelerate the process of matching potential volunteers for relevant clinical research trials. The algorithm,...more

Troutman Pepper Locke

New FDA Guidance on AI and Medical Products

Troutman Pepper Locke on

n March 15, the U.S. Food and Drug Administration (FDA) published a paper titled “Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together.” This paper describes the FDA’s strategy for...more

Epstein Becker & Green

Unpacking Averages: Searching for Bias in Word Embeddings Trained on FDA Regulatory Documents

Epstein Becker & Green on

This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of you), might have written....more

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