Stanford Radiologist and AI Leader Curtis Langlotz, MD, PhD, Joins Raidium Strategic Advisory Board

Langlotz will advise on how AI-assisted radiology reporting is validated and built around radiologists; Raidium to host November 10 webinar on the use and future of AI in radiology

PARIS, Nov. 6, 2026 /PRNewswire/ -- Raidium, an AI imaging company building tools for radiology and oncology imaging, today announced that Curtis Langlotz, MD, PhD, Professor of Radiology, Medicine, and Biomedical Data Science at Stanford University, has joined its strategic advisory board. Langlotz will advise Raidium on the clinical validation and responsible development of AI-assisted radiology reporting.

"The radiology report is how our work reaches patients and the clinicians who care for them, and AI has been transforming how reports are being written for a while," said Langlotz. "The important question now is how to build these tools so radiologists stay in control, can see how a draft was produced, and can trust what they sign. I'm glad to support the Raidium team as they work through those questions alongside practicing radiologists."

Dr. Langlotz has emphasized that trust in AI for radiology depends on validating the full system, including how models, clinical workflows and radiologist review work together, rather than measuring a single model in isolation. He will help Raidium apply that standard as it develops and evaluates its technology with clinical partners.

"Curtis has spent his career on the questions that matter most to us: how radiologists communicate what they find, and how AI can find its right place in the reading room," said Paul Hérent, MD, PhD, Chief Medical Officer at Raidium. "His perspective will help us build our technology around the way radiologists actually work, with clinicians in control at every step. We're honored to welcome him to our strategic advisory board."

Langlotz joins Ludovic d'Apréa, Strategic Advisor, who joined the board in October.

Raidium will host a webinar, "Usage and Perspectives of AI in Radiology," on Tuesday, November 10, at 8 a.m. CST. Dr. Langlotz will join the discussion. Registration is open at https://app.livestorm.co/raidium/usage-and-perspective-of-ai-in-radiology.

About Curtis Langlotz, MD, PhD
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. His laboratory develops machine learning methods to improve the accuracy and efficiency of medical image interpretation by detecting disease early and reducing medical errors. He also serves as Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence and Director of the Center for Artificial Intelligence in Medicine and Imaging, which supports over 250 faculty at Stanford who pursue interdisciplinary machine learning research to improve clinical care.

About Raidium
Raidium is an AI-native radiology company building the tools that radiologists have been waiting for. Combining a world-class foundation model research lab with a unified, promptable AI viewer, Raidium automates complex radiology workflows from indication to final report while keeping the radiologist in control at every step. For oncology, the Raidium Read platform automates RECIST imaging endpoints for research and clinical trials use. The Curia foundation model demonstrates state-of-the-art performance across imaging tasks, with peer-reviewed publication forthcoming in Radiology AI. Raidium operates globally with offices in Paris, France and Silicon Valley, USA.

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SOURCE Raidium