AI Spots Brain Tumor Risks From Routine Slides
High-tech cancer diagnostics are currently a luxury of the wealthiest health systems, but a shift in how we analyze basic tissue slides could soon level the playing field.
June 25, 2026
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Discover the newest research about AI innovations in ๐งช Pathology.
Three flagship AI models fail breast cancer diagnosis
Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.
June 24, 2026
AI finds hidden prostate cancer risk on biopsies
A new AI tool reveals that many prostate cancers upgraded during active surveillance were actually mischaracterized from the very start.
June 22, 2026
Local AI structures prostate cancer biopsy reports
A new study shows that small, locally hosted AI models can clean up messy clinical text better than expected, without risking patient privacy.
June 21, 2026
AI detects autoimmune hepatitis from liver slides
A new deep-learning model diagnoses autoimmune hepatitis with expert-level accuracy in some scenarios, but its failure against hepatitis B reveals a critical diagnostic blind spot.
June 17, 2026
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
EMA Accepts AI Clinical Trial Evidence
Regulators just crossed a digital rubicon by accepting AI-generated pathology data to evaluate metabolic liver disease treatments.
June 10, 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. ๐๐ฉบ
May 10, 2026
Philips Enhances Digital Pathology with Cloud-Enabled IntelliSite Solution
Philips expands digital pathology with cloud-enabled IntelliSite, enhancing diagnostics and productivity in healthcare organizations. ๐ฅ๐ป
April 25, 2026
Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol.
Deep learning in radiation oncology: promising AI for pelvic malignancies. ๐๐ค Systematic review protocol registered on PROSPERO. ๐
April 24, 2026