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The Pathologist / Issues / 2026 / June / ASCO 2026: FDA-Cleared AI Put to the Test
Oncology Digital and computational pathology Technology and innovation Insights Digital Pathology

ASCO 2026: FDA-Cleared AI Put to the Test

Multimodal AI platform goes head-to-head with a standard breast cancer assay using routine pathology image

06/03/2026 Video 2 min read
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3 Topic Commentaries

ASCO 2026: FDA-Cleared AI Put to the Test

ASCO 2026: FDA-Cleared AI Put to the Test

  • Chadi Nabhan
    Chadi Nabhan, MD, MBA, FACP

    Oncology

    •

    Ryght AI

    Too many metastatic breast cancer trials lose precious months in slow, manual and error-prone site selection processes. Our mission at Ryght is to transform clinical trial timelines by giving research sponsors and networks like ASCO an AI-driven platform that quickly surfaces the right sites for the right studies. When trials open sooner at better sites, patients gain access to innovative therapies at a crucial time, and that is what matters most.

    Source
  • Julian Hong
    Julian Hong, MD, MS

    Radiation Oncology

    •

    University of California, San Francisco

    Accurate HER2 scoring is important to ensure that patients receive the best treatment for their breast cancer. This international study shows that an AI-assisted approach improved HER2 scoring, including in situations that would affect treatment decisions. These findings shed light on the promising role for AI in oncology, not as a replacement for the physician, but as a powerful tool to help us work smarter and faster to deliver high-quality, more personalized care.

    Source
  • Clifford A. Hudis
    Clifford A. Hudis, MD, FACP, FASCO

    Medical Oncology

    •

    American Society of Clinical Oncology (ASCO)

    AI is transforming cancer care at an incredible rate, but the amount of noise in the AI space can be distracting or confusing. This resource cuts through that noise by delivering useful insights directly from trusted oncology experts. Translating these insights into practical tips can help clinicians confidently use AI to prioritize what matters most: patient outcomes.

    Source

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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