
AI translates cancer scans into simple bilingual reports
Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.
Discover the newest research about AI innovations in π Oncology.

Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.

A new AI tool reveals that many prostate cancers upgraded during active surveillance were actually mischaracterized from the very start.

A new study shows that small, locally hosted AI models can clean up messy clinical text better than expected, without risking patient privacy.

A new AI model can detect lethal pancreatic tumors up to three years before they show up on standard medical scans.

By ditching expensive gene sequencing for a simpler neural network and qPCR setup, researchers may have found a way to make early cancer screening practical for local clinics.

Standard radiation therapy treats every brain tumor margin the same way, but deep learning reveals that tumor geometry and location dictate how cancer spreads.

A six-year head start on breast cancer sounds like a clinical triumph, but it comes with a massive catch.

A new computational pathology model exposes the limits of human sight in oncology, diagnosing complex brain tumors in minutes rather than weeks.

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.

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.