A couple of questions to inform the work to help radiologists and patients with better software:
>1. Given that search, detection and classification of lung nodules are one part of a pipeline of clinical tasks in the radiological evaluation of at-risk lung cancer patients’ chest CT scans, what are 3 key attributes that you would favor in a lung nodule diagnosis system that integrates with your clinical software and your related clinical workflows?
_for example high accuracy (AUCROC), speed, operational software cost, ease of use, description of classification rationale for each read, incorporation of additional clinical tasks beyond detection/diagnosis etc_
>2. What are the key challenges you see to implementation of a lung nodule diagnosis in an actual clinical environment?
_Culture?, system cost? Accuracy? Quality scientific data or studies? Something else?_
>3. What type of data and evidence would you require in order to actually use a lung nodule diagnosis program in your clinical practice - a prospective clinical trial, a minimal level of accuracy etc?