As of November 2, 2026, “Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AI” leads Most-Cited AI in Cancer Detection Papers This Year with 9 citations. “Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer” is second and “AI-Integrated biosensors: A paradigm shift in multi-cancer detection with enhanced sensitivity and specificity” third.
Ranked by citation count (OpenAlex) among research papers published this year whose title or abstract matches this topic. Citations build up over time, so the newest papers rank lower. For information only, not medical advice.
As of November 2, 2026, #1 is “Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AI”.
Ranked by citation count (OpenAlex) among research papers published this year whose title or abstract matches this topic. Citations build up over time, so the newest papers rank lower. For information only, not medical advice.
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No. There are no paid placements and no commercial influence on rank.
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