Latest researchEvidence window ending 2026-06-20

Latest AI in cancer detection research

Scollr indexed 794 new AI in cancer detection papers in the last 30 days and 1,850 in the last 90 days. Browse the most relevant recent papers below, then follow the topic in the app to turn this into a personalized research feed.

This week in AI in cancer detection

Evidence window ending 2026-06-15

AI in Cancer Detection shows 742 eligible recent papers and 742 commentary-ready papers in the current 30-day window, compared with 640 eligible papers in the prior window. The strongest evidence comes from 1 visible topic cluster and 8 representative papers. 5 representative papers are preprints, so those findings should be treated as preliminary.

Recent publication activity is rising

AI in Cancer Detection recorded 742 eligible papers in the latest 30-day window, compared with 640 in the prior 30-day window, making the current snapshot up 16% from the prior window.

742 recent vs 640 prior eligible papers

AI in cancer detection anchors the current evidence

AI in cancer detection contributes 742 eligible recent papers, including 742 papers with abstracts available for commentary.

742 papers in the leading cluster

Representative papers show where the activity is concentrated

The representative set includes Multi-modal AI for comprehensive breast cancer prognostication; Domain-specific foundation model allows weakly supervised whole-slide cervical cytology classification; From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology; Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology; and Multi-Scale CSPResNet50 with Feature Pyramid Aggregation and SE Attention for Breast Cancer Histopathological Subtype Classification and Malignancy Detection. These papers anchor the page's claims and keep the brief tied to visible evidence.

8 representative papers
Recent papers

Latest AI in cancer detection papers

The most relevant recent papers Scollr indexed in this topic, ranked by topic relevance, citations, and recency.

What is changing

What is changing in AI in cancer detection

Daily publication volume across the last 30 days, drawn from Scollr's indexed literature.

794last 30 days
1,056previous 60 days
777recent papers with abstracts
Active authors

Active authors in AI in cancer detection

Researchers publishing the most papers in this topic across the last 90 days.

Ali Foroughi pour

28 recent papers

Jill C. Rubinstein

28 recent papers

Sergii Domanskyi

28 recent papers

Steven B. Neuhauser

28 recent papers

Todd Sheridan

28 recent papers

Shidan Wang

17 recent papers

FAQ

Keeping up with AI in cancer detection research

How do I keep up with new AI in cancer detection research?

Follow AI in cancer detection in Scollr. New papers in the topic flow into a personalized feed, and you can save the studies worth reading without setting up email alerts. This page also lists the most relevant recent papers so you can scan what changed at a glance.

What are the latest AI in cancer detection papers?

The recent papers section above is rebuilt continuously from Scollr's indexed literature, ranked by topic relevance, citations, and recency. Each links to its full record so you can read the abstract and follow the authors and sources behind it.

How do I find related work in AI in cancer detection?

Open any paper and build a literature map to see its references, citing papers, and related research in one workspace. The related topics list on this page also routes you into adjacent research areas Scollr tracks.