Public source

Reviewed 19 Aug 2026

Completeness Good (47%)

aview:RT ACS

Coreline Soft

aview:RT ACS conducts automatic segmentation of normal organs using deep learning AI technology

No papers to support — we monitor for new evidence.

Key features

Autosegmentation of OAR

General Information

Product name

aview:RT ACS

Workflow phase

Contouring

Modality

Contrast-enhanced CT, CT

Treatment site

Abdomen, Breast, Female pelvis, Head & neck, Male pelvis, Thorax

Exact structures

Head & Neck: Brain, Brain stem, Eye, Inner ear, Larynxr, Lens, Mandible, Optic chiasm, Optic nerve, Oral cavity, parotid gland, Pituitary, Submandibular gland, Spinal cord, Thyroid, Lymph nodes (level 1a/1b, 2, 3, 4a/4b, 5) | Thorax: Heart, Breast, Thyroid, Esophagus, Spinal cord, Lungs, Interal Mammary lymph nodes (IMN), Axillary lymph nodes level 1-3, Supraclavicular lymph node (ESTRO), Supraclavicular lymph node (RTOG) | Abdomen: Liver, Stomach, Duodenum, Kidney, Spleen | Pelvis: Anorectum, Bowel bag, Bladder, Cervix, Spinal cord, Cauda equina, Femur, Seminal vesicle, Penile bulb, Prostate

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Not verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

FDA Number:

Verified by Health AI Register

Other certifications

Pmda, TGA, Health Canada, Other

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Prerequisites

Not specified

Defined prerequisite(s)

Not specified

Treatment technique

Not applicable

Delivery system

Not applicable

Workflow features

Not applicable

Patient population age

Adult

Input

Planning CT

Input format

DICOM

Output

Not specified

Output format

DICOM RTSTRUCT

Integration

Not specified

Integration method

Not specified

API documentation availability

Not specified

API documentation, if publicly available

Not specified

TPS compatibility

All TPS vendors

Deployment

Not specified

Trigger for AI functionality

Automatically, after data acquisition

Processing time

Not specified

Retraining locally

Not applicable

Claims

Not specified

Known limitations

Not specified

Market Presence

On market since

November 2017

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Public | First published: Jul 6, 2026 | Last updated: Aug 19, 2026