Exploring the performance of large language models on hepatitis B infection-related questions: A comparative study

doi:10.3748/wjg.v31.i3.101092

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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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World J Gastroenterol. Jan 21, 2025; 31(3): 101092
Published online Jan 21, 2025. doi: 10.3748/wjg.v31.i3.101092

Table 1 Quality indicators (scientific adequacy) for answers from ChatGPT-3.5, ChatGPT-4.0, and Google Gemini

Common questions	Sources of answers	Answer lengths, 1^st run	Answer lengths, 2^nd run	Answer lengths, 3^rd run	Grades, mean	Grades, P value
Overall (mean)	ChatGPT-3.5	275	366	352	3.50	0.2
	ChatGPT-4.0	274	252	238	3.69
	Google Gemini	307	322	325	3.53
Risk factors
What are the transmission modes of hepatitis B virus?	ChatGPT-3.5	189	316	400	3.67	0.296
	ChatGPT-4.0	358	241	220	4
	Google Gemini	264	291	291	3.33
Clinical manifestation
What are the symptoms of hepatitis B infection?	ChatGPT-3.5	247	333	356	3.67	0.216
	ChatGPT-4.0	269	276	295	3.67
	Google Gemini	226	349	352	3
Diagnosis
What is the most accurate test for diagnosing Hepatitis B infection?	ChatGPT-3.5	223	341	348	3.67	0.027
	ChatGPT-4.0	307	349	280	4
	Google Gemini	281	281	281	3
Treatment
Can hepatitis B infection be cured clinically?	ChatGPT-3.5	334	357	395	3.67	0.216
	ChatGPT-4.0	271	324	264	3.67
	Google Gemini	268	360	359	3
What are the indications of antiviral therapy for patients infected with hepatitis B virus?	ChatGPT-3.5	368	367	402	3.67	0.296
	ChatGPT-4.0	351	334	296	3.33
	Google Gemini	385	384	392	3
Can patients infected with hepatitis B virus be pregnant during antiviral treatment?	ChatGPT-3.5	341	392	383	3.33	0.079
	ChatGPT-4.0	319	247	242	4
	Google Gemini	369	352	351	4
Do patients diagnosed with chronic hepatitis B during pregnancy need antiviral therapy?	ChatGPT-3.5	366	416	383	3	0.296
	ChatGPT-4.0	230	313	256	3.33
	Google Gemini	325	330	375	3.67
Can patients diagnosed with chronic hepatitis B during lactation be treated with antiviral therapy?	ChatGPT-3.5	366	419	391	3.33	0.296
	ChatGPT-4.0	245	190	218	3.67
	Google Gemini	362	328	330	4
Prevention
How long should a newborn receive the first dose of hepatitis B vaccine after birth?	ChatGPT-3.5	133	392	185	3.67	0.296
	ChatGPT-4.0	182	146	146	3.33
	Google Gemini	193	207	201	4
Can pregnant women receive hepatitis B vaccine?	ChatGPT-3.5	181	397	338	4
	ChatGPT-4.0	179	183	149	4
	Google Gemini	277	318	318	4
How often should patients with hepatitis B virus infection be reexamined?	ChatGPT-3.5	209	421	328	3	0.027
	ChatGPT-4.0	275	171	205	3.33
	Google Gemini	330	334	334	4
Prognosis
What are the complications of hepatitis B infection?	ChatGPT-3.5	343	235	305	3.33	0.216
	ChatGPT-4.0	300	245	280	4.00
	Google Gemini	405	326	318	3.33

Table 2 Performance of ChatGPT-3.5, ChatGPT-4.0 and Google Gemini on hepatitis B infection test questions by different subfields, n (%)

Test questions by subfields	ChatGPT-3.5, correct	ChatGPT-3.5, incorrect	ChatGPT-4.0, correct	ChatGPT-4.0, incorrect	Google Gemini, correct	Google Gemini, incorrect
All test questions	52		52		52
1^st run	34 (65.4)	18 (34.6)	43 (82.7)	9 (17.3)	37 (71.1)	15 (28.9)
2^nd run	30 (57.7)	22 (42.3)	41 (78.9)	11 (21.1)	38 (73.1)	14 (26.9)
3^rd run	34 (65.4)	18 (34.6)	42 (80.8)	10 (19.2)	39 (75)	13 (25)
Concordance among 3 runs	41 (78.9)		46 (88.4)		50 (96.2)
Total accuracy (%)	62.9		80.8		73.1
Risk factors (n)	5		5		5
1^st run	5 (100)	0 (0)	5 (100)	0 (0)	5 (100)	0 (0)
2^nd run	5 (100)	0 (0)	5 (100)	0 (0)	5 (100)	0 (0)
3^rd run	5 (100)	0 (0)	5 (100)	0 (0)	5 (100)	0 (0)
Concordance among 3 runs	5 (100)		5 (100)		5 (100)
Total accuracy (%)	100		100		100
Clinical manifestation (n)	7		7		7
1^st run	2 (40)	5 (71.4)	4 (57.1)	3 (42.9)	5 (71.4)	2 (28.6)
2^nd run	2 (40)	5 (71.4)	4 (57.1)	3 (42.9)	5 (71.4)	2 (28.6)
3^rd run	3 (42.9)	4 (57.1)	4 (57.1)	3 (42.9)	5 (71.4)	2 (28.6)
Concordance among 3 runs	5 (71.4)		6 (85.7)		7 (100)
Total accuracy (%)	33.3		57.1		71.4
Diagnosis (n)	18		18		18
1^st run	9 (50)	9 (50)	15 (83.3)	3 (16.7)	13 (72.2)	5 (27.8)
2^nd run	8 (44.4)	10 (55.6)	15 (83.3)	3 (16.7)	14 (77.8)	4 (22.2)
3^rd run	11 (61,1)	7 (38.9)	15 (83.3)	3 (16.7)	15 (83.3)	3 (16.7)
Concordance among 3 runs	12 (66.7)		16 (88.9)		16 (88.9)
Total accuracy (%)	51.9		83.3		77.8
Treatment (n)	11		11		11
1^st run	11 (100)	0 (0)	10 (90.9)	1 (9.1)	9 (81.9)	2 (18.1)
2^nd run	10 (90.9)	1 (9.1)	10 (90.9)	1 (9.1)	9 (81.9)	2 (18.1)
3^rd run	10 (90.9)	1 (9.1)	11 (100)	0 (0)	9 (81.9)	2 (18.1)
Concordance among 3 runs	10 (90.9)		10 (90.9)		11 (100)
Total accuracy (%)	93.9		93.9		81.9
Prevention (n)	7		7		7
1^st run	4 (57.1)	3 (42.9)	6 (85.7)	1 (14.3)	3 (42.9)	4 (57.1)
2^nd run	3 (42.9)	4 (57.1)	4 (57.1)	3 (42.9)	3 (42.9)	4 (57.1)
3^rd run	3 (42.9)	4 (57.1)	4 (57.1)	3 (42.9)	3 (42.9)	4 (57.1)
Concordance among 3 runs	6 (85.7)		5 (71.4)		7 (100)
Total accuracy (%)	47.6		66.7		42.9
Prognosis (n)	4		4		4
1^st run	3 (75)	1 (25)	3 (75)	1 (25)	2 (50)	2 (50)
2^nd run	2 (50)	2 (50)	3 (75)	1 (25)	2 (50)	2 (50)
3^rd run	2 (50)	2 (50)	3 (75)	1 (25)	2 (50)	2 (50)
Concordance among 3 runs	3 (75)		4 (100)		4 (100)
Total accuracy (%)	58.3		75		50

Table 3 Comparison of readability of answers from ChatGPT-3.5 with the 8^th grade reading level, mean ± SD

Subfield	GFI	P value	FKGL	P value
Risk factors	16.73 ± 1.77	0.013	12.60 ± 1.72	0.043
Clinical manifestation	13.68 ± 2.12	0.043	10.75 ± 1.72	0.109
Diagnosis	15.46 ± 1.65	0.016	12.12 ± 1.61	0.048
Treatment	21.22 ± 1.99	< 0.001	17.22 ± 1.47	< 0.001
Prevention	18.89 ± 1.80	< 0.001	15.53 ± 1.72	< 0.001
Prognosis	18.52 ± 1.85	0.010	15.51 ± 2.17	0.027
Overall	18.93 ± 3.03	< 0.001	15.31 ± 2.67	< 0.001

GFI: Gunning Fog index; FKGL: Flesch-Kincaid grade level.

Table 4 Comparison of readability of answers from ChatGPT-4.0 with the 8^th grade reading level, mean ± SD

Subfield	GFI	P value	FKGL	P value
Risk factors	14.79 ± 0.24	< 0.001	11.45 ± 0.35	0.003
Clinical manifestation	11.05 ± 0.89	0.027	9.06 ± 0.73	0.130
Diagnosis	14.40 ± 0.42	0.001	11.28 ± 0.47	< 0.001
Treatment	18.18 ± 1.45	< 0.001	14.57 ± 1.27	< 0.001
Prevention	16.49 ± 1.27	< 0.001	13.49 ± 1.09	< 0.001
Prognosis	16.10 ± 0.52	0.001	13.18 ± 0.05	< 0.001
Overall	16.39 ± 2.38	< 0.001	13.19 ± 1.96	< 0.001

GFI: Gunning Fog index; FKGL: Flesch-Kincaid grade level.

Table 5 Comparison of readability of answers from Google Gemini with the 8^th grade reading level, mean ± SD

Subfield	GFI	P value	FKGL	P value
Risk factors	14.54 ± 0.46	0.002	10.73 ± 0.16	0.001
Clinical manifestation	13.06 ± 0.42	0.002	9.81 ± 0.68	0.043
Diagnosis	17.71 ± 0.30	< 0.001	13.54 ± 0.24	< 0.001
Treatment	19.93 ± 1.44	< 0.001	15.65 ± 1.06	< 0.001
Prevention	15.63 ± 1.96	< 0.001	11.71 ± 1.82	< 0.001
Prognosis	14.81 ± 0.62	0.003	12.37 ± 0.27	0.001
Overall	17.22 ± 2.86	< 0.001	13.32 ± 2.44	< 0.001

GFI: Gunning Fog index; FKGL: Flesch-Kincaid grade level.

Citation: Li Y, Huang CK, Hu Y, Zhou XD, He C, Zhong JW. Exploring the performance of large language models on hepatitis B infection-related questions: A comparative study. World J Gastroenterol 2025; 31(3): 101092
URL: https://www.wjgnet.com/1007-9327/full/v31/i3/101092.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i3.101092