Development and validation of a deep-learning-based diagnostic model for drug-induced liver injury using computed tomography images

doi:10.3748/wjg.v32.i15.114778

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastroenterol. Apr 21, 2026; 32(15): 114778
Published online Apr 21, 2026. doi: 10.3748/wjg.v32.i15.114778

Table 5 Comparison of doctors’ diagnostic results and time with and without model 96 assistance

Item	Professional category	Doctor only	Doctor + model 96	P value
Accuracy	RIM	0.541	0.757	0.021^a
	AG	0.730	0.892	0.031^a
	RR	0.676	0.811	0.063
	AR	0.865	0.973	0.125
Sensitivity	RIM	0.750	0.875	1.000
	AG	0.750	1.000
	RR	0.875	0.875	1.000
	AR	0.625	0.875	0.500
Specificity	RIM	0.483	0.759	0.008^b
	AG	0.724	0.862	0.125
	RR	0.621	0.793	0.063
	AR	0.931	1.000
Time (seconds)	RIM	1807.00 ± 249.49	1561.33 ± 306.64	0.023^a
	AG	1488.67 ± 462.48	924.67 ± 248.62	0.045^a
	RR	916.33 ± 187.22	832.00 ± 179.10	0.004^b
	AR	1071.00 ± 164.16	900.33+135.07	0.016^a

^aP < 0.05 vs doctors only.

^bP < 0.01 vs doctors only.

RIM: Resident of internal medicine; AG: Attending gastroenterologist; RR: Resident of radiology; AR: Attending radiologist.

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Citation: Wang SY, Yin SQ, Yang JY, Ji MY, Zeng XQ, Rao SX, Lv MZ, Bao J, Wang MN, Gao H. Development and validation of a deep-learning-based diagnostic model for drug-induced liver injury using computed tomography images. World J Gastroenterol 2026; 32(15): 114778
URL: https://www.wjgnet.com/1007-9327/full/v32/i15/114778.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i15.114778

Wang SY, Yin SQ, Yang JY, Ji MY, Zeng XQ, Rao SX, Lv MZ, Bao J, Wang MN, Gao H. Development and validation of a deep-learning-based diagnostic model for drug-induced liver injury using computed tomography images. World J Gastroenterol 2026; 32(15): 114778 [DOI: 10.3748/wjg.v32.i15.114778]

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