Predicting breast cancer six years before diagnosis
A six-year head start on breast cancer sounds like a clinical triumph, but it comes with a massive catch.
June 12, 2026
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Discover the newest research about AI innovations in π Oncology.
AI Diagnoses Brain Tumors in Twelve Minutes
A new computational pathology model exposes the limits of human sight in oncology, diagnosing complex brain tumors in minutes rather than weeks.
June 11, 2026
AI predicts gastric cancer immunotherapy markers
A new multi-task AI model predicts two critical gastric cancer immunotherapy biomarkers from routine biopsy slides, but its real-world drop in accuracy highlights a persistent industry bottleneck.
June 9, 2026
AI predicts breast cancer recurrence using standard slides
A new deep learning tool outperforms traditional genomic tests in predicting breast cancer recurrence, using nothing more than standard tissue slides and basic clinical data.
June 9, 2026
Comparative oncology of male and female breast cancer: diagnostic paradigms and machine learning approaches in treatment.
Gender-specific breast cancer insights: men face later diagnoses, larger tumors, and unique treatment challenges. π€π
May 11, 2026
AI Models Excel in Summarizing Complex Cancer Pathology Reports
AI models outperform physicians in summarizing complex cancer pathology reports, according to a recent study. ππ©Ί
May 10, 2026
Machine learning enhanced optical spectroscopy for breast cancer diagnosis: A review.
Machine learning boosts breast cancer diagnosis accuracy to 94% using optical spectroscopy techniques. ππ¬
May 7, 2026
Evaluating the clinical safety of large language models in oral cancer-related patient communication: a repeated-prompt observational study.
Evaluating AI in oral cancer communication: Gemini and Grok show 90%+ referral safety but variable risks. ππ¦·
May 6, 2026
AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.
AI in Clinical Decision Support: Enhancing Outcomes, Addressing Data Challenges ππ€
May 5, 2026
Bayesian Model Prediction for Lung Cancer Survival Based on Demographic and Laboratory Results: A retrospective analysis.
Bayesian model predicts lung cancer survival with 71.9% accuracy, identifying age as key factor. ππ«
April 28, 2026