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Life Sciences › Bias › Machine Learning

Troutman Pepper

New FDA Guidance on AI and Medical Products

Troutman Pepper 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

Whiteford

New CMS Guidance on Use of Algorithms and AI in Prior Authorizations and Utilization Management

Whiteford on

Use of algorithms and artificial intelligence (AI) in prior authorization and utilization management is facing growing criticism and litigation. Notable lawsuits include alleged automatic authorization denials for tests that...more

Manatt, Phelps & Phillips, LLP

Georgia Proposes a Bill to Regulate Physician and Insurer AI Use

Manatt, Phelps & Phillips, LLP on

The health care industry, like most industries, is exploring how to reap the benefits of increasingly powerful artificial intelligence-based technologies while managing the risks they pose. Federal and state policymakers are...more

Fenwick & West Life Sciences Group

Generative AI And Digital Health–What Does the Future Hold?

Fenwick & West Life Sciences Group on

Artificial intelligence and healthcare are hardly strangers, as machine learning programs have been aiding in the diagnosis of disease, drug discovery, the streamlining of clinical workflows and the analysis of medical data...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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