AI steps into the lab: could computers speed up cancer diagnosis?

NCT ID NCT06827132

Ongoing Knowledge-focused Sponsor: AstraZeneca Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at how doctors currently diagnose lung and breast cancer using tissue samples. It will also test whether artificial intelligence (AI) can help analyze these samples faster and more accurately. Researchers will review records from 600 patients to measure diagnosis times, costs, and how well AI agrees with human experts. The goal is to understand if AI can make cancer diagnosis more efficient without replacing the pathologist.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this study could help improve and speed up cancer diagnosis by showing how AI tools can assist pathologists.
What could go wrong: This is an observational study, not a treatment trial. It only looks back at existing data, so it cannot prove that AI improves patient outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

breast cancer breast neoplasm ductal breast carcinoma in situ invasive breast carcinoma lung cancer lung neoplasm non-small cell lung carcinoma

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BREAST CANCER LUNG CANCER

Contacts and locations

Locations

Research Site

São Paulo, Brazil
Research Site

Giza, Egypt
Research Site

Nairobi, Kenya

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