Oncology AI Tools

AI concurrent reader for mammography that flags suspicious findings for radiologist review, built on Gleamer's CE-marked PACS-integrated platform.

Automatic contouring software for radiation therapy planning that runs locally with no patient data sent to the cloud.

AI platform that automates radiotherapy contouring, dose prediction, and treatment planning workflows.

Deep-learning mammography reading tool that assigns a cancer-probability score per case and highlights suspicious regions to assist radiologists in screening reads.

AI mammography software for 2D and tomosynthesis imaging that flags suspicious regions, scores cancer likelihood, and assesses breast density to reduce recalls.

AI platform that analyses multi-modal clinical and genomic data for oncology, rare disease, and precision medicine.

AI mammography reader that scores cancer likelihood, assesses breast density, and compares current and prior exams to support radiologists during screening and diagnostic reads.

Full-workflow mammography AI that flags potentially missed cancers, triages normal cases, and drafts reports for unremarkable exams within existing PACS systems.

Calculates volumetric breast density from mammograms and assigns a density grade to support risk stratification and breast density notification requirements.

AI platform that matches oncology patients to relevant clinical trials within seconds.

Radiology AI operating system giving imaging centres access to 50+ CE-marked algorithms from 30+ vendors in one platform.

Detects and segments lung nodules on chest CT, automatically measuring volume and diameter across follow-up scans to support Lung-RADS and RECIST-based oncology tracking.