Artificial intelligence (AI)-derived computer-aided detection (CAD) software for detecting and measuring lung nodules in CT scan images

The CAD software included in this evaluation has AI‑derived automated nodule detection and volume measurement capability. 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, not as standalone interventions. The healthcare professional who reviews the CT scan using the software makes the final reporting decision.

The technologies in this evaluation are:

• AI-Rad Companion Chest CT (class 2a medical device, Siemens Healthineers)

• AVIEW LCS+ (class 2a medical device [information from public domain], Coreline Soft)

• ClearRead CT (class 2a medical device, Riverain Technologies)

• contextflow SEARCH Lung CT (class 2a medical device, contextflow)

• InferRead CT Lung (class 2a medical device, Infervision)

• JLD-01K (class 1 medical device, JLK Inc.)

• Lung AI (class 2 medical device [information from public domain], Arterys)

• Lung Nodule AI (at the time of writing, Lung Nodule AI does not have a CE mark, Fujifilm)

• qCT‑Lung (class 2b medical device, Qure.ai)

• SenseCare‑Lung Pro (class 2b medical device [information from public domain], SenseTime)

• Veolity (class 2a medical device, MeVis)

• Veye Lung Nodules (class 2b medical device, Aidence)

• VUNO Med-LungCT AI (class 2a medical device [information from public domain], VUNO).
  
  At the time of writing, JLD-01K and Lung Nodule AI were not available in the UK.