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EvidencePulse™ by 2 Minute Medicine 2026 evidence scan 3 reports You asked top stroke trials 2026 Synthesizing medical evidence... Top 2026 stroke trial results: OCEANIC — ischemic stroke: 6.2% vs 8.4% OPTION* — mRS 0–1: 43.6% vs 34.2% ORIENTAL* — mRS 0–2: 58.6% vs 46.6% *Higher sICH in intervention arms Participants randomizedN OCEANIC 12,327 OPTION 570 ORIENTAL 564 Ask about guidelines or landmark trials... ↑ Try EvidencePulse™ Ask the evidence.
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Home AI Roundup

Food and Drug Administration to Fully Integrate Generative Artificial Intelligence by June

byDeepti Shroff
May 26, 2025
in AI Roundup
Reading Time: 2 mins read
FDA-regulated clinical trials rarely report violations
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Key points:
1. The Food and Drug Administration is preparing to launch an agency wide generative artificial intelligence system by the end of June
2. A pilot tool called Center for Drug Evaluation and Research Generative Pretrained Transformer is already in use for drug review support

The Food and Drug Administration is making a bold move to modernize its internal systems with generative artificial intelligence. On May 15, the agency announced plans to deploy an artificial intelligence platform across all of its centers by the end of June, a remarkably fast timeline for a federal rollout. At the center of this effort is Jeremy Walsh, recently appointed as the agency’s first Chief Artificial Intelligence Officer. He is leading trials of a pilot tool called Center for Drug Evaluation and Research Generative Pretrained Transformer, which is already being used to help review drug applications. This system aims to cut through some of the bureaucracy that slows down regulatory processes. The Food and Drug Administration handles over 100,000 submissions every year, so even a 10 percent improvement in efficiency could mean thousands of hours saved. Already, the agency has completed its first successful scientific review assisted by artificial intelligence, offering a proof of concept. Walsh is in talks with OpenAI to further enhance the system’s capabilities, potentially introducing more advanced language models to handle documentation. The bigger goal is to automate routine tasks so that reviewers can focus on clinical nuance and safety concerns. The agency sees this not just as an operational upgrade but a step toward setting a new global standard in regulatory science. With the healthcare industry racing toward digital transformation, the Food and Drug Administration wants to lead rather than follow. If they pull this off by the end of June, it could become one of the most impactful uses of generative artificial intelligence in government yet. The pressure is on but so is the potential.

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©2025 2 Minute Medicine, Inc. All rights reserved. No works may be reproduced without expressed written consent from 2 Minute Medicine, Inc. Inquire about licensing here. No article should be construed as medical advice and is not intended as such by the authors or by 2 Minute Medicine, Inc.

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