2 Information about the technologies

The interventions

2.1

The software included in this evaluation have AI‑derived algorithms to detect lung abnormalities for suspected cancer. All software technologies in clinical settings use fixed algorithms. They cannot adapt in real time using data from the clinical practice setting in which they are used. In the NHS, AI‑based technologies are only used alongside healthcare professionals. The healthcare professional who reviews the chest X-ray using the software makes the final reporting decision. These software could be radiological computer-assisted triage (CAST) software, computer-aided detection (CADe) software or computer-aided diagnosis (CADx) software. CAST software is intended to help prioritisation and triage of medical images that are time sensitive for urgent review. CADe and CADx software are technologies that can detect or diagnose an abnormality on the X‑ray.

2.2

The technologies in this evaluation are:

  • AI‑Rad Companion Chest X‑ray (class 2a medical device, CADx, Siemens Healthineers)

  • Annalise CXR (class 2b medical device, CADe/CAST, Annalise ai)

  • Auto Lung Nodule Detection (class 2a medical device, CADe, Samsung)

  • ChestLink (class 2b medical device, CADe/CAST, Oxipit)

  • ChestView (class 2a medical device, CADe, Gleamer)

  • Chest X‑ray (class 2a medical device, CADe, Rayscape)

  • ClearRead Xray (class 2a medical device, CADe, Riveraintech)

  • InferRead DR Chest (class 2a medical device, CADe, Infervision)

  • Lunit INSIGHT CXR (class 2a medical device, CADe, Lunit)

  • Milvue Suite (class 2a medical device, CADe/CAST, Milvue)

  • qXR (class 2a medical device, CADe, Qure.ai)

  • Red dot (class 2a medical device, CADe/CADx/CAST, Behold.ai). As of February 2025, Red dot is no longer available in the UK so it has been removed from the recommendations.

  • SenseCare‑Chest DR PRO (class 2b medical device, CADe, SenseTime)

  • VUNO Med‑Chest X‑Ray (class 2a medical device, CADe, VUNO).