Erratum
Neonatology. 2023;120(2):272-274. doi: 10.1159/000527495. Epub 2022 Dec 9.NO ABSTRACTPMID:37497939 | DOI:10.1159/000527495 (Source: Neonatology)
Source: Neonatology - July 27, 2023 Category: Perinatology & Neonatology Source Type: research

Erratum
Neonatology. 2023;120(2):272-274. doi: 10.1159/000527495. Epub 2022 Dec 9.NO ABSTRACTPMID:37497939 | DOI:10.1159/000527495 (Source: Neonatology)
Source: Neonatology - July 27, 2023 Category: Perinatology & Neonatology Source Type: research

Erratum
Neonatology. 2023;120(2):272-274. doi: 10.1159/000527495. Epub 2022 Dec 9.NO ABSTRACTPMID:37497939 | DOI:10.1159/000527495 (Source: Neonatology)
Source: Neonatology - July 27, 2023 Category: Perinatology & Neonatology Source Type: research

Erratum
Neonatology. 2023;120(2):272-274. doi: 10.1159/000527495. Epub 2022 Dec 9.NO ABSTRACTPMID:37497939 | DOI:10.1159/000527495 (Source: Neonatology)
Source: Neonatology - July 27, 2023 Category: Perinatology & Neonatology Source Type: research

Application of Artificial Intelligence in the Early Detection of Retinopathy of Prematurity: Review of the Literature
Neonatology. 2023 Jul 25:1-8. doi: 10.1159/000531441. Online ahead of print.ABSTRACTRetinopathy of prematurity (ROP) is a potentially blinding disease in premature neonates that requires a skilled workforce for diagnosis, monitoring, and treatment. Artificial intelligence is a valuable tool that clinicians employ to reduce the screening burden on ophthalmologists and neonatologists and improve the detection of treatment-requiring ROP. Neural networks such as convolutional neural networks and deep learning (DL) systems are used to calculate a vascular severity score (VSS), an important component of various risk models. Thes...
Source: Neonatology - July 25, 2023 Category: Perinatology & Neonatology Authors: Shivani Shah Elizabeth Slaney Erik VerHage Jinghua Chen Raquel Dias Bishoy Abdelmalik Alex Weaver Josef Neu Source Type: research