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282P Impact of artificial intelligence (AI) on follow-up of incidental lung nodules: A US multi-center ambispective study
0
Zitationen
13
Autoren
2025
Jahr
Abstract
Missed or delayed follow-up of incidental lung nodules can adversely impact outcomes in lung cancer. This study aims to assess the impact of AI-supported clinics on the number of incidental lung lesions being followed up within pulmonary and thoracic oncology care pathways. We investigate the real-world clinical use of an FDA-approved AI tool combining automatic patient identification and tracking with radiomics-based risk stratification to support clinical decisions.
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Autoren
Institutionen
- The Ohio State University Wexner Medical Center(US)
- The Ohio State University(US)
- Bristol-Myers Squibb (Germany)(DE)
- Bristol-Myers Squibb (United States)(US)
- Tri-City Medical Center(US)
- Atrium Health Wake Forest Baptist(US)
- Shell (United Kingdom)(GB)
- Bristol-Myers Squibb (Belgium)(BE)
- Bristol-Myers Squibb (United Kingdom)(GB)
- Bristol-Myers Squibb (Italy)(IT)