Publication Name	World Journal of Clinical Cases
Manuscript ID	100966
Country	India

Received	2024-08-31 14:05
Peer-Review Started	2024-08-31 14:05
To Make the First Decision
Return for Revision	2024-11-07 09:03
Revised	2024-11-21 01:21
Second Decision	2024-12-12 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-12-12 09:31
Articles in Press	2024-12-12 09:31
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-12-20 00:29
Publish the Manuscript Online	2024-12-26 07:28

ISSN	2307-8960 (online)
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Category	Critical Care Medicine
Manuscript Type	Editorial
Article Title	Predicting outcomes using neural networks in the intensive care unit
Manuscript Source	Invited Manuscript
All Author List	Gumpeny R Sridhar, Venkat Yarabati and Lakshmi Gumpeny
ORCID	Author(s) ORCID Number Gumpeny R Sridhar http://orcid.org/0000-0002-7446-1251 Lakshmi Gumpeny http://orcid.org/0000-0002-1368-745X
Funding Agency and Grant Number
Corresponding Author	Gumpeny R Sridhar, Department of Endocrinology and Diabetes, Endocrine and Diabetes Centre, 15-12-15 Krishnanagar, Visakhapatnam 530002, India. sridharvizag@gmail.com
Key Words	Large language models; Hallucinations; Supervised learning; Unsupervised learning; Convoluted neural networks; Black-box; Workflow
Core Tip	Healthcare workers in intensive care units require swift and critical decisions, based on physiological and clinical data recorded in digital form, leading to information overload. Neural network models and machine learning can analyse the dense information and can potentially aid in decision making by patient triage, preventing treatment errors and providing insights into possible outcomes. Practical, legal and ethical issues need to be addressed as with other areas of healthcare. But research and its quick translation strongly suggests its imminent incorporation into routine clinical workflow.
Publish Date	2024-12-26 07:28
Citation	<p>Sridhar GR, Yarabati V, Gumpeny L. Predicting outcomes using neural networks in the intensive care unit. <i>World J Clin Cases</i> 2025; 13(11): 100966</p>
URL	https://www.wjgnet.com/2307-8960/full/v13/i11/100966.htm
DOI	https://dx.doi.org/10.12998/wjcc.v13.i11.100966

Full Article (PDF)	WJCC-13-100966-with-cover.pdf
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