On the public citation graph

Strategies for the Analysis and Elimination of Hallucinations in Artificial Intelligence Generated Medical Knowledge

0 signed · 105 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2010.144openalex-snapshot
The Checklist Manifesto: How to Get Things Right
inferredcites →https://doi.org/10.1001/jamanetworkopen.2024.25953openalex-snapshot
Accuracy, Consistency, and Hallucination of Large Language Models When Analyzing Unstructured Clinical Notes in Electronic Medical Records
inferredcites →https://doi.org/10.1002/int.22955openalex-snapshot
A medical question answering system using large language models and knowledge graphs
inferredcites →https://doi.org/10.1007/978-3-031-84404-1_8openalex-snapshot
A Comprehensive Review of Encryption and Protection Techniques for Healthcare Data
inferredcites →https://doi.org/10.1007/978-981-97-1717-0_12openalex-snapshot
A Medical Diagnostic Assistant Based on LLM
inferredcites →https://doi.org/10.1007/s00521-020-05057-5openalex-snapshot
Domain knowledge graph-based research progress of knowledge representation
inferredcites →https://doi.org/10.1007/s10489-023-05080-8openalex-snapshot
Multimodal fuzzy granular representation and classification
inferredcites →https://doi.org/10.1007/s10618-021-00801-4openalex-snapshot
Controlling hallucinations at word level in data-to-text generation
inferredcites →https://doi.org/10.1007/s12630-025-02980-wopenalex-snapshot
Large language models in perioperative medicine—applications and future prospects: a narrative review
inferredcites →https://doi.org/10.1007/s43621-025-00815-8openalex-snapshot
A comprehensive review of large language models: issues and solutions in learning environments
inferredcites →https://doi.org/10.1016/j.cmpbup.2024.100158openalex-snapshot
TCM-GPT: Efficient pre-training of large language models for domain adaptation in Traditional Chinese Medicine
inferredcites →https://doi.org/10.1016/j.icte.2021.05.001openalex-snapshot
Cross validation methods: Analysis based on diagnostics of thyroid cancer metastasis
inferredcites →https://doi.org/10.1016/j.ijmedinf.2024.105443openalex-snapshot
Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study
inferredcites →https://doi.org/10.1016/j.jbi.2024.104707openalex-snapshot
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models
inferredcites →https://doi.org/10.1016/j.jclepro.2024.141371openalex-snapshot
A systematic study on integrating blockchain in healthcare for electronic health record management and tracking medical supplies
inferredcites →https://doi.org/10.1016/j.websem.2024.100844openalex-snapshot
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
inferredcites →https://doi.org/10.1038/s41586-024-07421-0openalex-snapshot
Detecting hallucinations in large language models using semantic entropy
inferredcites →https://doi.org/10.1038/s41591-018-0272-7openalex-snapshot
Privacy in the age of medical big data
inferredcites →https://doi.org/10.1038/s41591-018-0300-7openalex-snapshot
High-performance medicine: the convergence of human and artificial intelligence
inferredcites →https://doi.org/10.1038/s41746-023-00773-3openalex-snapshot
The impact of inconsistent human annotations on AI driven clinical decision making
inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot
MIMIC-III, a freely accessible critical care database
inferredcites →https://doi.org/10.1056/aira2400380openalex-snapshot
RAG in Health Care: A Novel Framework for Improving Communication and Decision-Making by Addressing LLM Limitations
inferredcites →https://doi.org/10.1071/py12072openalex-snapshot
Multidisciplinary care: experience of patients with complex needs
inferredcites →https://doi.org/10.1093/nar/gkad976openalex-snapshot
DrugBank 6.0: the DrugBank Knowledgebase for 2024
inferredcites →https://doi.org/10.1109/access.2018.2886311openalex-snapshot
GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures
inferredcites →https://doi.org/10.1109/access.2024.3389497openalex-snapshot
GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
inferredcites →https://doi.org/10.1109/access.2024.3524203openalex-snapshot
Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning
inferredcites →https://doi.org/10.1109/cai59869.2024.00108openalex-snapshot
Performance Analysis of Llama 2 Among Other LLMs
inferredcites →https://doi.org/10.1109/confluence47617.2020.9058044openalex-snapshot
A Multi-layer Bidirectional Transformer Encoder for Pre-trained Word Embedding: A Survey of BERT
inferredcites →https://doi.org/10.1109/jbhi.2025.3584179openalex-snapshot
Precision and Personalization: How Large Language Models Redefining Diagnostic Accuracy in Personalized Medicine — A Systematic Literature Review
inferredcites →https://doi.org/10.1109/jstsp.2025.3579203openalex-snapshot
A Review of Faithfulness Metrics for Hallucination Assessment in Large Language Models
inferredcites →https://doi.org/10.1109/msp.2017.2765695openalex-snapshot
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
inferredcites →https://doi.org/10.1109/tase.2024.3515839openalex-snapshot
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review
inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-snapshot
Multimodal Machine Learning: A Survey and Taxonomy
inferredcites →https://doi.org/10.1136/bmj.d5928openalex-snapshot
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
inferredcites →https://doi.org/10.1136/bmjopen-2015-008840openalex-snapshot
The NHS Health Check in England: an evaluation of the first 4 years
inferredcites →https://doi.org/10.1136/ebmed-2016-110401openalex-snapshot
New evidence pyramid
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1142/s0219455423501316openalex-snapshot
A Deep Learning-Based Method for Automatic Abnormal Data Detection: Case Study for Bridge Structural Health Monitoring
inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot
"Why Should I Trust You?"
inferredcites →https://doi.org/10.1145/3306618.3314229openalex-snapshot
Faithful and Customizable Explanations of Black Box Models
inferredcites →https://doi.org/10.1145/3394486.3409559openalex-snapshot
Lessons from Archives
inferredcites →https://doi.org/10.1145/3571730openalex-snapshot
Survey of Hallucination in Natural Language Generation
inferredcites →https://doi.org/10.1145/3637528.3671458openalex-snapshot
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
inferredcites →https://doi.org/10.1145/3703155openalex-snapshot
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
inferredcites →https://doi.org/10.1145/3708036.3708118openalex-snapshot
Mixture-of-Experts Based LLM Model For Financial Text Classification
inferredcites →https://doi.org/10.1148/ryai.220119openalex-snapshot
On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology
inferredcites →https://doi.org/10.1155/2018/2061516openalex-snapshot
Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
inferredcites →https://doi.org/10.1162/coli_a_00530openalex-snapshot
Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics
inferredcites →https://doi.org/10.1162/tacl_a_00306openalex-snapshot
Theoretical Limitations of Self-Attention in Neural Sequence Models
inferredcites →https://doi.org/10.1162/tacl_a_00360openalex-snapshot
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
inferredcites →https://doi.org/10.1177/17407745251356423openalex-snapshot
Evaluating re-identification risks scores in publicly available clinical trial datasets: Insights and implications
inferredcites →https://doi.org/10.1177/2053951716679679openalex-snapshot
The ethics of algorithms: Mapping the debate
inferredcites →https://doi.org/10.1186/1472-6963-13-35openalex-snapshot
Health information technology capacity at federally qualified health centers: a mechanism for improving quality of care
inferredcites →https://doi.org/10.1186/s12913-024-11715-4openalex-snapshot
Validity of the Johns Hopkins Adjusted Clinical Groups system on the utilisation of healthcare services in Norway: a retrospective cross-sectional study
inferredcites →https://doi.org/10.1186/s40537-023-00783-8openalex-snapshot
Risk and UCON-based access control model for healthcare big data
inferredcites →https://doi.org/10.1371/journal.pmed.1000326openalex-snapshot
Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018465openalex-snapshot
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
inferredcites →https://doi.org/10.1609/aaai.v37i11.26596openalex-snapshot
Contrastive Learning Reduces Hallucination in Conversations
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.750openalex-snapshot
Evaluating the Factual Consistency of Abstractive Text Summarization
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.816openalex-snapshot
Improving Faithfulness by Augmenting Negative Summaries from Fake Documents
inferredcites →https://doi.org/10.18653/v1/2024.naacl-long.394openalex-snapshot
R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’
inferredcites →https://doi.org/10.18653/v1/2025.acl-long.1178openalex-snapshot
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
inferredcites →https://doi.org/10.18653/v1/2025.findings-acl.603openalex-snapshot
Large Language Models are Miscalibrated In-Context Learners
inferredcites →https://doi.org/10.21037/mhealth.2017.08.07openalex-snapshot
Digital health is a cultural transformation of traditional healthcare
inferredcites →https://doi.org/10.2174/0115748871379249250701065507openalex-snapshot
Cloud Computing Facilitating Data Storage, Collaboration, and Analysis in Global Healthcare Clinical Trials
inferredcites →https://doi.org/10.3389/frai.2024.1430984openalex-snapshot
Vision-language models for medical report generation and visual question answering: a review
inferredcites →https://doi.org/10.3390/diagnostics12020237openalex-snapshot
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
inferredcites →https://doi.org/10.3390/electronics13020322openalex-snapshot
A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity
inferredcites →https://doi.org/10.3390/info11080388openalex-snapshot
Knowledge-Enhanced Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.3390/jcm13206246openalex-snapshot
Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2005.11401openalex-snapshot
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
inferredcites →https://doi.org/10.48550/arxiv.2011.01285openalex-snapshot
Exemplar Guided Active Learning
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2401.12794openalex-snapshot
Benchmarking LLMs via Uncertainty Quantification
inferredcites →https://doi.org/10.48550/arxiv.2405.05465openalex-snapshot
Vidur: A Large-Scale Simulation Framework For LLM Inference
inferredcites →https://doi.org/10.5195/jmla.2019.433openalex-snapshot
Exploring PubMed as a reliable resource for scholarly communications services
inferredcites →https://doi.org/10.52202/075280-2606openalex-snapshot
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
inferredcites →https://doi.org/10.52202/075280-3421openalex-snapshot
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
inferredcites →https://doi.org/10.6004/jnccn.2018.7104openalex-snapshot
A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice
inferredcites →https://doi.org/10.7759/cureus.44720openalex-snapshot
A Call to Address AI “Hallucinations” and How Healthcare Professionals Can Mitigate Their Risks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-29288-9_1openalex-snapshot
Combining OWA Neutrosophic Operators and LogProbs for Uncertainty Evaluation in Agentic AI Outputs
inferred← citeshttps://doi.org/10.1007/s44411-026-00545-xopenalex-snapshot
Generative Artificial Intelligence in Medical Imaging: From Algorithmic Innovation to Clinically Governed Systems—A Critical Narrative Review
inferred← citeshttps://doi.org/10.1016/j.apmr.2026.04.033openalex-snapshot
Reining in Unbridled AI Enthusiasm: Protecting the Integrity of Rehabilitation Science and Clinical Care
inferred← citeshttps://doi.org/10.1016/j.cmpb.2026.109560openalex-snapshot
Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging
inferred← citeshttps://doi.org/10.1016/j.enfcle.2026.502553openalex-snapshot
Generative artificial intelligence in nursing care research: Applications across the research process
inferred← citeshttps://doi.org/10.1016/j.enfcli.2026.502553openalex-snapshot
Investigación en cuidados elevada a la IAgésima potencia: inteligencia artificial generativa aplicada al proceso de investigación en cuidados
inferred← citeshttps://doi.org/10.1016/j.rcsop.2026.100807openalex-snapshot
Comparative evaluation of handwriting recognition by large language models (LLMs) in interpreting handwritten medication lists
inferred← citeshttps://doi.org/10.1038/s41415-026-9583-0openalex-snapshot
AI hallucination risks and mitigation strategies
inferred← citeshttps://doi.org/10.1080/10447318.2026.2734323openalex-snapshot
Explanation Transparency and Trust Perception After Generative AI Failure: A Dual-Path Model
inferred← citeshttps://doi.org/10.1080/10494820.2026.2700637openalex-snapshot
Generative AI-supported intercultural learning: a mixed-methods study of intercultural communicative competence and multimodal GAI literacy
inferred← citeshttps://doi.org/10.1080/23270012.2026.2647940openalex-snapshot
Generative AI in healthcare: foundations, applications, challenges and future directions
inferred← citeshttps://doi.org/10.1097/dcr.0000000000004178openalex-snapshot
Artificial Intelligence for Colorectal Surgeons—Part II: Research Applications, Challenges in Adoption, and Practical Resources
inferred← citeshttps://doi.org/10.1111/den.70074openalex-snapshot
Beyond Detection: AI in Gastric Endoscopy
inferred← citeshttps://doi.org/10.1177/08903344261446830openalex-snapshot
Accuracy, Readability, and Clinical Applicability of AI-Generated Breastfeeding Education Brochures: A Mixed-Methods Evaluation
inferred← citeshttps://doi.org/10.1177/20552076261459551openalex-snapshot
Safeguarding AI-driven digital health – An adaptation of the Swiss cheese model for safety
inferred← citeshttps://doi.org/10.2196/100916openalex-snapshot
The Double-Edged Sword Effect of AI Application Among Clinical Nurses Based on the Job Demands-Resources Model: Qualitative Study
inferred← citeshttps://doi.org/10.2196/91222openalex-snapshot
Quality Evaluation of Large Language Model–Assisted Generation of Initial Senior Physician Ward Round Records for Patients With Acute Poisoning: Cross-Sectional Study
inferred← citeshttps://doi.org/10.2196/preprints.91222openalex-snapshot
Quality Evaluation of Large Language Model-Assisted Generation of Initial Senior Physician Ward Round Records for Acute Poisoning Patients: A Cross-Sectional Study (Preprint)
inferred← citeshttps://doi.org/10.33393/grhta.2026.3813openalex-snapshot
Exploring the current and future role of artificial intelligence in pharmaceutical market access: insights from a European survey
inferred← citeshttps://doi.org/10.3389/fimmu.2026.1869543openalex-snapshot
Opening the black box: insights into ubiquitin-mediated control of innate antiviral immunity and AI-enhanced therapeutics
inferred← citeshttps://doi.org/10.4018/979-8-3373-7534-2.ch012openalex-snapshot
Reimagining Reality
inferred← citeshttps://doi.org/10.51847/mdbmowwqrbopenalex-snapshot
Where Does the Answer Come From? A Scoping Review of Evidence Tracing, Hallucination, and Safeguards in Generative Medicines Information
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.