Siemens Healthineers vs ZEISS

Multi-modality imaging decision support that pre-reads CT and MR studies — highlighting findings and taking measurements automatically — delivered as extensions on the teamplay digital health platform.

Deep-learning MR image reconstruction software that denoises and super-resolves acquisitions to accelerate MRI scans while maintaining or increasing resolution.

Varian's radiotherapy treatment-planning system, covering photon, proton, electron and brachytherapy dose calculation. Its AI Contouring is embedded rather than bolted on: deep-learning structure delineation that generates contours from CT and MRI for over 200 anatomical structures, including organs-at-risk, lymph nodes and brain metastases, built on RTOG, ESTRO and DAHANCA guidelines. The v18.1 release that carries AI Contouring is CE marked with its 510(k) pending, and is not sold in the US or in all markets.

Varian's adaptive radiotherapy system, marketed as an Adaptive Intelligence solution: AI segmentation contours the day's anatomy and AI planning re-optimises the treatment while the patient is on the couch, so the plan follows the tumour rather than the plan made weeks earlier.

AI imaging chain for Artis angiography systems that applies deep-learning noise reduction to live fluoroscopy and DSA in real time, delivering higher-quality low-dose images during image-guided procedures.

Knowledge-based treatment planning inside Eclipse: models learned from a clinic's own prior plans estimate the achievable dose-volume histogram for a new patient, so a planner benchmarks against past practice instead of starting from scratch. Pre-loaded DVH estimation models from named institutions ship with it.

AI-guided scanner operating interface that turns clinical questions into optimized acquisition and reconstruction parameters, with an AI-powered Autosuite (AutoAlign, AutoBolus Detection, AutoLabeling) across CT, MR, radiography and SPECT/CT systems.

AI-based software for coronary CT angiography that automatically segments and labels the coronary tree and quantifies plaque types to support coronary artery disease management and PCI planning.

App for ZEISS INSPECT X-Ray that detects, segments and evaluates defects in industrial CT scans with pre-trained or customised AI models, including on noisy scans with artifacts.

Deep-learning support tool built into ZEISS CIRRUS OCT devices that reviews macular OCT scans and flags the B-scans that may need closer review, such as subretinal or intraretinal fluid and retinal pigment epithelium changes, and can be switched off when not wanted.

An AI assistant advises users on microscopy experiment planning and image acquisition setup.

Cloud application for cataract surgeons that stores surgical videos exported from ZEISS CALLISTO eye, arranges them in a case library with biometry and device data, and uses an AI segmentation algorithm to give surgeon and clinic performance dashboards and step-by-step review.

A licensed ZEN toolkit provides image denoising, segmentation, object classification and model training.

Microscopy software for acquiring images, analysing samples and managing results across ZEISS light and electron microscopes, with AI-based segmentation and classification that users train in the software with no programming, plus an image database and industrial analysis workflows.

Software that scales image analysis pipelines.

An image analysis application supports visualization pipelines and AI model training.