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AI-supported approaches for mammography single and double reading: A controlled multireader study
3
Zitationen
32
Autoren
2025
Jahr
Abstract
AI support significantly enhanced sensitivity across all reading approaches, particularly benefiting worse performing radiologists. In the simulated double reading approaches, AI incorporation as independent second reader significantly increased sensitivity without compromising specificity.
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Autoren
- Beniamino Brancato
- Veronica Magni
- Calogero Saieva
- Gabriella Risso
- Francesca Buti
- S Catarzi
- Fiorella Ciuffi
- Francesca Peruzzi
- Francesco Regini
- Daniela Ambrogetti
- Giuseppe Alabiso
- Anna Cruciani
- Valeria Maria Doronzio
- Sara Frati
- Gian Piero Giannetti
- Claudio Guerra
- Pietro Valente
- Chiara Vignoli
- Stefano Atzori
- Valentina Carrera
- Giulia D’Agostino
- G Fazzini
- Eugenia Picano
- Francesca Turini
- Vanina Vani
- Federica Fantozzi
- Dario De Vietro
- Diletta Cavallero
- Fabrizio De Vietro
- Dario Plataroti
- Simone Schiaffino
- Andrea Cozzi
Institutionen
- Istituto per lo Studio e la Prevenzione Oncologica(IT)
- University of Milan(IT)
- Azienda Usl Toscana Centro(IT)
- Azienda Ospedaliera Universitaria Pisana(IT)
- Azienda Ospedaliera Universitaria Senese(IT)
- University of Florence(IT)
- University of Pisa(IT)
- Ente Ospedaliero Cantonale(CH)
- Università della Svizzera italiana(CH)