Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties
Nasrin Ahmadinejad, Nahid Sadighi, Rassa Ghavami Modegh, Mehran Arab Ahmadi, Mohammadhosein Akhlaghpasand, Alireza Dizaji, Amin Rezaee, Maryam Rahmani, Arvin Arian, Fahimeh Zeinalkhani, Salome Maghsudlu, Saeedeh Shokri, Niloofar Pashaeifakhri, Hossein Ghanaati, Ali Sefidmouy, Mahdi Ghaznavi, Hamed D · 2026
Read Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties by Nasrin Ahmadinejad, Nahid Sadighi, Rassa Ghavami Modegh, Mehran Arab Ahmadi, Mohammadhosein Akhlaghpasand, Alireza Dizaji, Amin Rezaee, Maryam Rahmani, Arvin Arian, Fahimeh Zeinalkhani, Salome Maghsudlu, Saeedeh Shokri, Niloofar Pashaeifakhri, Hossein Ghanaati, Ali Sefidmouy, Mahdi Ghaznavi, Hamed D (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13661836.txt.
Description
Nasrin Ahmadinejad and co-authors test software support for breast screening in a 2026 study. Reading mammograms is hard, and missed cancers and false alarms both carry costs. Their system combines several networks that outline lesions and judge cancer risk. The study asks how best to use the tool when a reader feels unsure.
Records held a vast set of mammograms with confirmed outcomes from many centers. Readers worked in five modes, from unaided reading to software as final judge in unsure cases. A union mode, merging reader and software calls in unsure cases, scored best overall. Both cancer catching and clean case clearing rose clearly in that mode.
Catalog record
| CREATOR | Nasrin Ahmadinejad, Nahid Sadighi, Rassa Ghavami Modegh, Mehran Arab Ahmadi, Mohammadhosein Akhlaghpasand, Alireza Dizaji, Amin Rezaee, Maryam Rahmani, Arvin Arian, Fahimeh Zeinalkhani, Salome Maghsudlu, Saeedeh Shokri, Niloofar Pashaeifakhri, Hossein Ghanaati, Ali Sefidmouy, Mahdi Ghaznavi, Hamed D |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |