Public articles linked to the same research event.
Journal of minimally invasive surgery This single-center, repeated cross-sectional descriptive survey administered anonymous online questionnaires before and one month after installation of an AI-based computer-aided detection (AI-CADe) system, with 29 and 25 endoscopy unit staff completing the pre- and post-installation surveys respectively, and found that staff held generally favorable perceptions of AI-CADe, recognizing its potential value for adenoma detection rate improvement, lesion removal, patient and procedural satisfaction, and workflow, while also reporting concerns about false-positive detection, overdetection, unnecessary biopsies, and dependence on AI, with accuracy and sensitivity most frequently selected as adoption factors.
This single-center, repeated cross-sectional descriptive survey administered anonymous online questionnaires before and one month after installation of an AI-based computer-aided detection (AI-CADe) system, with 29 and 25 endoscopy unit staff completing the pre- and post-installation surveys respectively, and found that staff held generally favorable perceptions of AI-CADe, recognizing its potential value for adenoma detection rate improvement, lesion removal, patient and procedural satisfaction, and workflow, while also reporting concerns about false-positive detection, overdetection, unnecessary biopsies, and dependence on AI, with accuracy and sensitivity most frequently selected as adoption factors.
This single-center, repeated cross-sectional descriptive survey administered anonymous online questionnaires before and one month after installation of an AI-based computer-aided detection (AI-CADe) system, with 29 and 25 endoscopy unit staff completing the pre- and post-installation surveys respectively, and found that staff held generally favorable perceptions of AI-CADe, recognizing its potential value for adenoma detection rate improvement, lesion removal, patient and procedural satisfaction, and workflow, while also reporting concerns about false-positive detection, overdetection, unnecessary biopsies, and dependence on AI, with accuracy and sensitivity most frequently selected as adoption factors.
This single-center, repeated cross-sectional descriptive survey administered anonymous online questionnaires before and one month after installation of an AI-based computer-aided detection (AI-CADe) system, with 29 and 25 endoscopy unit staff completing the pre- and post-installation surveys respectively, and found that staff held generally favorable perceptions of AI-CADe, recognizing its potential value for adenoma detection rate improvement, lesion removal, patient and procedural satisfaction, and workflow, while also reporting concerns about false-positive detection, overdetection, unnecessary biopsies, and dependence on AI, with accuracy and sensitivity most frequently selected as adoption factors.