Artificial intelligence in the diagnosis of necrotising enterocolitis from abdominal radiographs: a systematic review and meta-analysis
Vivek Mahapatra, Aishwarya Chandra, Tanveer Rehman, Srijeeta Mitra, Prajina Pradhan, Asha Kiran, Sunil Kumar Agarwalla, Sanghamitra Pati · 2026
Read Artificial intelligence in the diagnosis of necrotising enterocolitis from abdominal radiographs: a systematic review and meta-analysis by Vivek Mahapatra, Aishwarya Chandra, Tanveer Rehman, Srijeeta Mitra, Prajina Pradhan, Asha Kiran, Sunil Kumar Agarwalla, Sanghamitra Pati (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/PMC13323305.txt.
Description
Vivek Mahapatra and co-authors pool how well artificial intelligence reads baby X-rays for necrotising enterocolitis, in a 2026 meta-analysis drawing on a systematic search. This bowel disease is a leading threat to premature and very low birth weight babies, and early signs are vague.
Searching five databases for work from 2015 to July 2025, they kept ten retrospective studies, pooling six. Most used convolutional neural networks, with little testing outside home data. Pooled sensitivity sat near 0.78 and specificity near 0.84 in their hierarchical model, giving moderate diagnostic value with wide variation between studies. The authors back wider external validation before such tools steer care for fragile newborns.
Catalog record
| CREATOR | Vivek Mahapatra, Aishwarya Chandra, Tanveer Rehman, Srijeeta Mitra, Prajina Pradhan, Asha Kiran, Sunil Kumar Agarwalla, Sanghamitra Pati |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27319 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |