SynthesisF1000Research2021
Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare.
Synthesis in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.BMC primary care · 2025Pooled it
- Capturing artificial intelligence applications' value proposition in healthcare - a qualitative research study.BMC health services research · 2024Pooled it
- Examining the Anxiety and Preparedness Levels of Nurses and Nurse Candidates for Artificial Intelligence Health Technologies.Journal of clinical nursing · 2026Article
- Artificial intelligence applications in out-of-hospital cardiac arrest: an analysis of emerging research trends.International journal of emergency medicine · 2026Review
- Article
- Modeling Workflow, Operational, and Financial Implications of AI-Enabled Same-Day Diagnostic Follow-Up for Screening Mammograms.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Digital trust in medical tourism portals: multiple pathways to consumer confidence.Frontiers in digital health · 2026Article
- Article
- Challenges and applications in generative AI for clinical tabular data in physiology.Pflugers Archiv : European journal of physiology · 2025Review
- Navigating the AI Revolution in Medicine-Adopting Strategies for Medical Education.Medical science educator · 2025Article
- Role of artificial intelligence in pediatric intensive care: a survey of healthcare staff perspectives in Saudi Arabia.Frontiers in pediatrics · 2025Article
- Physicians' attitudes and acceptance towards artificial intelligence in medical care: a qualitative study in Germany.Frontiers in digital health · 2025Article
- Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study.Clinical and experimental dental research · 2024Article
- The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective.Life (Basel, Switzerland) · 2024Article
- Uncertainties about accepting care robots.Frontiers in digital health · 2023Article
- Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment.Healthcare (Basel, Switzerland) · 2022Article
- Predictive genomic tools in disease stratification and targeted prevention: a recent update in personalized therapy advancements.The EPMA journal · 2022Review
- Providing Care: Intrinsic Human-Machine Teams and Data.Entropy (Basel, Switzerland) · 2022Article
- Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms.International journal of environmental research and public health · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we focus on presenting a novel AI-based service platform proposal called AIDI (Artificial Intelligence Distribution Interface for healthcare). AIDI proposal is based on our earlier research work in which we evaluated AI-based healthcare services which have been used successfully in practice among healthcare service providers. We have also used our systematic review about AI-based healthcare services benefits in various healthcare sectors. This novel AIDI proposal contains services for health assessment, healthcare evaluation, and cognitive assistant which can be used by researchers, healthcare service provides, clinicians, and consumers. AIDI integrates multiple health databases and data lakes with AI service providers and open access AI algorithms. It also gives healthcare service providers open access to state-of-the-art AI-based diagnosis and analysis services. This paper provides a description of AIDI platform, how it could be developed, what can become obstacles in the development, and how the platform can provide benefits to healthcare when it will be operational in the future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.