Publication Name	World Journal of Radiology
Manuscript ID	120076
Country	India

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Correspondence
Article Title	Letter to the Editor: Potential pitfalls in deep learning-based imaging for spontaneous intracerebral hemorrhage
Manuscript Source	Invited Manuscript
All Author List	Sachin D Balutkar, Sachin Bhavthankar and Basavraj S Nagoba
Funding Agency and Grant Number
Corresponding Author	Basavraj S Nagoba, Department of Microbiology, Maharashtra Institute of Medical Sciences and Research (Medical College), Vishwanathpuram, Ambajogai Road, Latur 413531, Maharashtra, India. basavraj.nagoba@mimsr.edu.in
Key Words	Intra-cerebral haematoma; Haematoma enlargement; Peri haematomal oedema; Convolutional nurolon networks; Basal ganglionic calcifications; Deep learning
Core Tip	This critique evaluates a study using radiomics and deep learning to predict outcomes in spontaneous intracerebral hemorrhage. While the original study shows promise, it may be limited by confounding calcifications and chronic ischemic lesions being misidentified as hematoma or edema due to broad Hounsfield units thresholds. Furthermore, the use of limited axial slices rather than full volumetric analysis may reduce accuracy. We propose an integrated approach that combines deep learning efficiency with strict Hounsfield units filtering and expert radiological oversight to minimize false positives and improve predictive precision.
Citation	Balutkar SD, Bhavthankar S, Nagoba BS. Letter to the Editor: Potential pitfalls in deep learning-based imaging for spontaneous intracerebral hemorrhage. World J Radiol 2026; In press

Received	2026-02-24 08:35
Peer-Review Started	2026-02-24 08:35
First Decision by Editorial Office Director	2026-02-28 06:56
Return for Revision	2026-02-28 06:56
Revised	2026-03-09 09:55
Publication Fee Transferred
Second Decision by Editor	2026-05-18 02:51
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-18 09:45
Articles in Press	2026-05-18 09:45
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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