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Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

https://doi.org/10.2196/68998
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What this work says

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

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Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI
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
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Evaluating large language models for use in healthcare: A framework for translational value assessment
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Successful combination of database search and snowballing for identification of primary studies in systematic literature studies
inferredcites →https://doi.org/10.1016/j.ipm.2017.11.002openalex-snapshot
Effective aggregation of various summarization techniques
inferredcites →https://doi.org/10.1016/j.isci.2024.109713openalex-snapshot
The application of large language models in medicine: A scoping review
inferredcites →https://doi.org/10.1016/j.jbi.2011.03.008openalex-snapshot
Summarization of clinical information: A conceptual model
inferredcites →https://doi.org/10.1016/j.jbi.2016.03.022openalex-snapshot
An automated knowledge-based textual summarization system for longitudinal, multivariate clinical data
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization
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Why Mayo Clinic Is Embracing the Cloud and What This Means for Clinicians and Researchers
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Ethical and regulatory challenges of large language models in medicine
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inferredcites →https://doi.org/10.1038/s41586-023-06291-2openalex-snapshot
Large language models encode clinical knowledge
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Large language models in medicine
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Adapted large language models can outperform medical experts in clinical text summarization
inferredcites →https://doi.org/10.1038/s41591-024-02888-wopenalex-snapshot
Large language models for reducing clinicians’ documentation burden
inferredcites →https://doi.org/10.1038/s41591-024-03258-2openalex-snapshot
A toolbox for surfacing health equity harms and biases in large language models
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The TRIPOD-LLM reporting guideline for studies using large language models
inferredcites →https://doi.org/10.1038/s41597-021-01110-7openalex-snapshot
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inferredcites →https://doi.org/10.1038/s41746-022-00614-9openalex-snapshot
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
inferredcites →https://doi.org/10.1038/s41746-023-00873-0openalex-snapshot
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
inferredcites →https://doi.org/10.1038/s41746-024-01258-7openalex-snapshot
A framework for human evaluation of large language models in healthcare derived from literature review
inferredcites →https://doi.org/10.1038/s41746-025-01670-7openalex-snapshot
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation
inferredcites →https://doi.org/10.1038/s42254-023-00581-4openalex-snapshot
Science in the age of large language models
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Developing robust benchmarks for driving forward AI innovation in healthcare
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inferredcites →https://doi.org/10.1038/sdata.2016.35openalex-snapshot
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inferredcites →https://doi.org/10.1109/incet49848.2020.9154087openalex-snapshot
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Rad-Former: Structuring Radiology Reports using Transformers*
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ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization
inferredcites →https://doi.org/10.11124/jbies-22-00123openalex-snapshot
Recommendations for the extraction, analysis, and presentation of results in scoping reviews
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Evaluation framework to guide implementation of AI systems into healthcare settings
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Application of generative language models to orthopaedic practice
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iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
inferredcites →https://doi.org/10.1145/3571730openalex-snapshot
Survey of Hallucination in Natural Language Generation
inferredcites →https://doi.org/10.1145/3596219openalex-snapshot
From Softmax to Nucleusmax: A Novel Sparse Language Model for Chinese Radiology Report Summarization
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
inferredcites →https://doi.org/10.1145/3731445openalex-snapshot
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inferredcites →https://doi.org/10.1148/ryai.210258openalex-snapshot
RadBERT: Adapting Transformer-based Language Models to Radiology
inferredcites →https://doi.org/10.1148/ryai.220028openalex-snapshot
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
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SummEval: Re-evaluating Summarization Evaluation
inferredcites →https://doi.org/10.1162/tacl_a_00632openalex-snapshot
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Key challenges for delivering clinical impact with artificial intelligence
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Number of Response Options, Reliability, Validity, and Potential Bias in the Use of the Likert Scale Education and Social Science Research: A Literature Review
inferredcites →https://doi.org/10.18653/v1/2021.bionlp-1.11openalex-snapshot
BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task
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Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning
inferredcites →https://doi.org/10.18653/v1/2022.clinicalnlp-1.4openalex-snapshot
Fine-tuning BERT Models for Summarizing German Radiology Findings
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.228openalex-snapshot
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
inferredcites →https://doi.org/10.18653/v1/2023.bionlp-1.42openalex-snapshot
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.eacl-main.121openalex-snapshot
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
inferredcites →https://doi.org/10.2196/13484openalex-snapshot
Use and Understanding of Anonymization and De-Identification in the Biomedical Literature: Scoping Review
inferredcites →https://doi.org/10.2196/17787openalex-snapshot
Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation
inferredcites →https://doi.org/10.2196/44639openalex-snapshot
Patient Information Summarization in Clinical Settings: Scoping Review
inferredcites →https://doi.org/10.3174/ajnr.a8102openalex-snapshot
AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical
inferredcites →https://doi.org/10.3389/fmed.2021.769870openalex-snapshot
Empowering Patients in the Therapeutic Decision-Making Process: A Glance Into Behçet's Syndrome
inferredcites →https://doi.org/10.3390/jcm13113041openalex-snapshot
Clinical and Surgical Applications of Large Language Models: A Systematic Review
inferredcites →https://doi.org/10.48550/arxiv.2403.01874openalex-snapshot
A Survey on Evaluation of Out-of-Distribution Generalization
inferredcites →https://doi.org/10.48550/arxiv.2407.10457openalex-snapshot
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

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Clinician Evaluation of Artificial Intelligence Summaries of Pediatric CVICU Progress Notes
inferred← citeshttps://doi.org/10.3390/info16110978openalex-snapshot
Estimating the Utility of Using Structured and Unstructured Data for Extracting Incidents of External Hospitalizations from Patient Documents
inferred← citeshttps://doi.org/10.3390/jcm14217845openalex-snapshot
One Step Closer to Conversational Medical Records: ChatGPT Parses Psoriasis Treatments from EMRs
inferred← citeshttps://doi.org/10.35377/saucis...1780353openalex-snapshot
Evaluating Large Language Models for Biomedical Text Summarization: A Study of Cardiovascular Research
inferred← citeshttps://doi.org/10.36702/zin2026.01.02openalex-snapshot
Powiew zmian: krajobraz technologiczny i wyzwania ewaluacyjne w streszczaniu naukowym ery generatywnej SI
inferred← citeshttps://doi.org/10.4018/979-8-3373-2577-4.ch004openalex-snapshot
Clinical Informatics and Artificial Intelligence in Healthcare
inferred← citeshttps://doi.org/10.4018/979-8-3373-7862-6.ch011openalex-snapshot
Expert Consensus on LLM Safety in Clinical Decision Support
inferred← citeshttps://doi.org/10.5649/jjphcs.52.200openalex-snapshot
Comparison of the Performance of Generative Artificial Intelligence Models in Perioperative Medication Discontinuation: A Clinical Pharmacy Evaluation
inferred← citeshttps://doi.org/10.63946/ehdi/18797openalex-snapshot
Autonomous Medical Documentation Pipelines: Integrating Large Language Models and Cloud Speech Services to Reduce Clinician Administrative Burden and EHR Workflow Bottlenecks
inferred← citeshttps://doi.org/10.64898/2025.12.29.696871openalex-snapshot
An Empirical Analysis of Fine-Tuning Large Language Models on Bioinformatics Literature: PRSGPT and BioStarsGPT
inferred← citeshttps://doi.org/10.64898/2026.05.25.26354027openalex-snapshot
Generation and Evaluation of Realistic Synthetic Clinical Progress Notes for Prostate Cancer using Large Language Models
inferred← citeshttps://doi.org/10.64898/2026.09.10.26362656openalex-snapshot
Evaluation of AI-assisted summarisation of tertiary clinical genomics reports: results of the QNOMX-VHIR-CPSP-001 Phase 1 study
inferred← citeshttps://doi.org/10.68159/g844604585openalex-snapshot
Generative Artificial Intelligence Framework for Producing Draft Clinical Governance Dashboards from Quality Metrics, Audit Reports, Incident Logs, Compliance Indicators, and Executive Reporting Templates
inferred← citeshttps://doi.org/10.68159/j827489866openalex-snapshot
Generative Artificial Intelligence for Healthcare Administration: A Systematic Review of Applications in Documentation Support, Operational Reporting, Patient Communication, Governance Dashboards, and Workflow Automation
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.