Back
Top 1%
12.4%
Top 0.2%
12.4%
Top 60%
9.5%
Top 0.2%
8.2%
Top 25%
8.2%
Top 0.2%
6.7%
Top 5%
5.3%
Top 7%
2.0%
Top 8%
2.0%
Top 12%
1.6%
Top 5%
1.6%
Top 0.9%
1.4%
Top 14%
1.2%
Top 52%
1.0%
Top 0.5%
1.0%
Top 2%
1.0%
Top 23%
1.0%
Top 4%
0.8%
Top 21%
0.8%
Top 6%
0.8%
Top 22%
0.8%
Top 53%
0.8%
Top 1%
0.8%
Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance
2026-02-24
pharmacology and therapeutics
Title + abstract only
View on medRxiv
Show abstract
BackgroundBiomedical Large Language Models (LLMs) combined with prompt engineering offer domain-specific reasoning, yet their application to individual-level causality assessment remains unexplored. This study evaluated five combinations of biomedical LLMs, prompting strategies, and causality algorithms by comparing their agreement with two human expert evaluators. Research design and methodsA total of 150 Individual Case Safety Reports (ICSRs) were analyzed: 140 reports from Food and Drug Admi...
Predicted journal destinations
1
Journal of the American Medical Informatics Association
53 training papers
2
Clinical Pharmacology & Therapeutics
19 training papers
3
PLOS ONE
1737 training papers
4
British Journal of Clinical Pharmacology
21 training papers
5
Scientific Reports
701 training papers
6
Frontiers in Pharmacology
27 training papers
7
npj Digital Medicine
85 training papers
8
Frontiers in Medicine
99 training papers
9
Journal of Medical Internet Research
81 training papers
10
JAMA Network Open
125 training papers
11
Journal of Biomedical Informatics
37 training papers
12
Trials
24 training papers
13
PLOS Digital Health
88 training papers
14
Nature Communications
483 training papers
15
Antimicrobial Agents and Chemotherapy
17 training papers
16
JMIRx Med
29 training papers
17
Clinical Infectious Diseases
219 training papers
18
Scientific Data
30 training papers
19
Cureus
64 training papers
20
BMJ
49 training papers
21
PLOS Medicine
95 training papers
22
eLife
262 training papers
23
Biology Methods and Protocols
19 training papers