Individual research recommendation details

Recommendation ID

HTE12/1

Question

More research is needed on the following key outcomes:

Any explanatory notes
(if applicable)

• the impact of the software on clinical decision making and the number of people referred to have a chest CT scan
• how using the software affects healthcare costs and resource use
• the impact on review and reporting time, and time to CT referral and diagnosis
• the diagnostic accuracy of AI‑derived software alongside clinician review in detecting nodules or other abnormal lung features that suggest lung cancer
• the diagnostic accuracy of using AI‑derived software alongside clinician review for identifying normal X‑rays with high confidence and the impact of this on work prioritisation and patient flow
• the technical failure and rejection rates of the software
• whether the software works in cases when it is hard to get high-quality images, for example, scoliosis and morbid obesity
• whether the software works in groups that could particularly benefit, including people with multiple conditions, people from high-risk family backgrounds, and younger women who do not smoke (see section 3.12)
• patient perceptions of using AI‑derived software.

Source guidance details

Comes from guidance

Artificial intelligence-derived software to analyse chest X-rays for suspected lung cancer in primary care referrals: early value assessment

Number

HTE12

Date issued

September 2023

Other details