Back
Top 0.3%
17.8%
#1
14.7%
Top 0.7%
7.8%
Top 1%
7.8%
Top 3%
6.4%
Top 1%
6.4%
Top 4%
6.0%
Top 0.5%
4.2%
Top 63%
4.2%
Top 89%
3.2%
Top 2%
1.9%
Top 49%
1.9%
Top 1%
1.9%
Top 5%
1.0%
Top 1.0%
1.0%
Top 1%
0.7%
Top 3%
0.7%
Top 60%
0.7%
Top 10%
0.7%
Top 10%
0.7%
Top 2%
0.7%
Top 23%
0.7%
Top 4%
0.7%
Development and validation of a generative AI-assisted medication-indication knowledge base
2026-01-06
health informatics
Title + abstract only
View on medRxiv
Show abstract
BackgroundExisting information resources about medicines and their indications have limited usefulness for health data analytics. The emerging potential of large language models (LLMs) to generate clinically accurate responses presents a novel opportunity to develop a comprehensive knowledge base of medicines and their clinical indications. MethodUnique medications from the English Prescribing Dataset (EPD) were extracted and included in a fine-tuned prompt pipeline using the GPT-4 and MedCAT L...
Predicted journal destinations
1
Journal of the American Medical Informatics Association
53 training papers
2
JAMIA Open
35 training papers
3
Journal of Biomedical Informatics
37 training papers
4
Journal of Medical Internet Research
81 training papers
5
npj Digital Medicine
85 training papers
6
BMC Medical Informatics and Decision Making
36 training papers
7
PLOS Digital Health
88 training papers
8
International Journal of Medical Informatics
25 training papers
9
Scientific Reports
701 training papers
10
PLOS ONE
1737 training papers
11
JMIR Medical Informatics
16 training papers
12
BMJ Open
553 training papers
13
BMC Medical Research Methodology
41 training papers
14
JMIR Formative Research
31 training papers
15
Wellcome Open Research
34 training papers
16
Biology Methods and Protocols
19 training papers
17
Patterns
15 training papers
18
Nature Communications
483 training papers
19
JMIR Public Health and Surveillance
45 training papers
20
Computers in Biology and Medicine
39 training papers
21
The Lancet Digital Health
25 training papers
22
Cureus
64 training papers
23
Frontiers in Digital Health
18 training papers