📄
Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study paper by Independent / Community
⭐ 68
📄
Paper

Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study

by Independent / Community 0038a660fb07266e24b346231eb256b8fe3ab619
Free2AITools Nexus Index
68.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 82
P: Popularity 58
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Introduction: Artificial intelligence (AI) is the development of computer systems which are capable of doing human intelligence tasks such as decision making and problem solving. AI-based tools have been used for predicting various factors in medicine including risk stratification, diagnosis and choice of treatment. AI can also be of considerable help in emergency departments, especially patients’ triage. Objective: This study was undertaken to evaluate the application of AI in patients prese...

Source →
Semantic Scholar 32 Citations
Paper Information Summary
Entity Passport
Registry ID 0038a660fb07266e24b346231eb256b8fe3ab619
License ArXiv
Provider semantic_scholar
📜

Cite this paper

Academic & Research Attribution

BibTeX 
@misc{0038a660fb07266e24b346231eb256b8fe3ab619,
  author = {Unknown},
  title = {Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0038a660fb07266e24b346231eb256b8fe3ab619}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study [Paper]. Free2AITools. https://api.semanticscholar.org/0038a660fb07266e24b346231eb256b8fe3ab619

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 82
Popularity (P) 58
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study: Authority (A:82), Popularity (P:58), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

📝 Executive Summary

"Introduction: Artificial intelligence (AI) is the development of computer systems which are capable of doing human intelligence tasks such as decision making and problem solving. AI-based tools have been used for predicting various factors in medicine including risk stratification, diagnosis and choice of treatment. AI can also be of considerable help in emergency departments, especially patients’ triage. Objective: This study was undertaken to evaluate the application of AI in patients prese..."

❝ Cite Node 

@article{Unknown2026Artificial,
  title={Artificial Intelligence-Based Triage for Patients with Acute Abdominal Pain in Emergency Department; a Diagnostic Accuracy Study},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈32CitationsSemantic Scholar
🏛️82AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️text generationField
📦Data Source: semantic_scholar
🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
0
stars
null
forks
null
citations
32

Data indexed from public sources. Updated daily.