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Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study paper by Independent / Community
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Paper

Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

by Independent / Community 00331314fc59269529365f46c45fbae3b912d019
Free2AITools Nexus Index
66.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 78
P: Popularity 53
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Background The promise of artificial intelligence (AI) to transform health care is threatened by a tangle of challenges that emerge as new AI tools are introduced into clinical practice. AI tools with high accuracy, especially those that detect asymptomatic cases, may be hindered by barriers to adoption. Understanding provider needs and concerns is critical to inform implementation strategies that improve provider buy-in and adoption of AI tools in medicine. Objective This study aimed to desc...

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Semantic Scholar 14 Citations
Paper Information Summary
Entity Passport
Registry ID 00331314fc59269529365f46c45fbae3b912d019
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{00331314fc59269529365f46c45fbae3b912d019,
  author = {Unknown},
  title = {Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00331314fc59269529365f46c45fbae3b912d019}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study [Paper]. Free2AITools. https://api.semanticscholar.org/00331314fc59269529365f46c45fbae3b912d019

🔬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) 78
Popularity (P) 53
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study: Authority (A:78), Popularity (P:53), 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
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📝 Executive Summary

"Background The promise of artificial intelligence (AI) to transform health care is threatened by a tangle of challenges that emerge as new AI tools are introduced into clinical practice. AI tools with high accuracy, especially those that detect asymptomatic cases, may be hindered by barriers to adoption. Understanding provider needs and concerns is critical to inform implementation strategies that improve provider buy-in and adoption of AI tools in medicine. Objective This study aimed to desc..."

❝ Cite Node 

@article{Unknown2026Provider,
  title={Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈14CitationsSemantic Scholar
🏛️78AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️automation workflowField
📦Data Source: semantic_scholar
🔄 Updated daily

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

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Technical metadata sourced from upstream repositories.

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🆔 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

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citations
14

Data indexed from public sources. Updated daily.