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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

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What this work says

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

inferredcites →https://doi.org/10.1001/jamanetworkopen.2024.37711openalex-snapshot
Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases
inferredcites →https://doi.org/10.1001/jamaoncol.2024.0836openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-031-47679-2_7openalex-snapshot
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Clinical Databases for Breast Cancer Research
inferredcites →https://doi.org/10.1007/978-981-99-7962-2_30openalex-snapshot
Prompt Engineering in Large Language Models
inferredcites →https://doi.org/10.1007/s00330-023-10202-4openalex-snapshot
Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?
inferredcites →https://doi.org/10.1007/s11695-023-06603-5openalex-snapshot
Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery
inferredcites →https://doi.org/10.1016/j.acra.2023.11.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.artmed.2023.102625openalex-snapshot
Transformers for extracting breast cancer information from Spanish clinical narratives
inferredcites →https://doi.org/10.1016/j.cmpb.2018.01.011openalex-snapshot
Deep Convolutional Neural Networks for breast cancer screening
inferredcites →https://doi.org/10.1016/j.heliyon.2023.e14793openalex-snapshot
Natural language processing in urology: Automated extraction of clinical information from histopathology reports of uro-oncology procedures
inferredcites →https://doi.org/10.1016/j.ijmedinf.2019.103985openalex-snapshot
Extracting comprehensive clinical information for breast cancer using deep learning methods
inferredcites →https://doi.org/10.1016/j.ijmedinf.2023.105321openalex-snapshot
Zero-shot information extraction from radiological reports using ChatGPT
inferredcites →https://doi.org/10.1016/j.jbi.2017.11.011openalex-snapshot
Clinical information extraction applications: A literature review
inferredcites →https://doi.org/10.1016/j.jval.2022.06.004openalex-snapshot
Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer
inferredcites →https://doi.org/10.1038/s41568-021-00408-3openalex-snapshot
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A critical assessment of using ChatGPT for extracting structured data from clinical notes
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Natural language inference for curation of structured clinical registries from unstructured text
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LLM Based Biological Named Entity Recognition from Scientific Literature
inferredcites →https://doi.org/10.1109/cyberneticscom.2019.8875661openalex-snapshot
A Study of Fine-Tuning CNN Models Based on Thermal Imaging for Breast Cancer Classification
inferredcites →https://doi.org/10.1109/jbhi.2021.3062322openalex-snapshot
Limitations of Transformers on Clinical Text Classification
inferredcites →https://doi.org/10.1136/bmjopen-2012-002406openalex-snapshot
Error rates in a clinical data repository: lessons from the transition to electronic data transfer—a descriptive study
inferredcites →https://doi.org/10.1136/jnis-2024-022078openalex-snapshot
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inferredcites →https://doi.org/10.1148/radiol.230424openalex-snapshot
Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT
inferredcites →https://doi.org/10.1148/radiol.231362openalex-snapshot
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inferredcites →https://doi.org/10.1155/2022/5918686openalex-snapshot
Breast Cancer Prediction Empowered with Fine-Tuning
inferredcites →https://doi.org/10.1158/0008-5472.can-19-0579openalex-snapshot
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inferredcites →https://doi.org/10.1158/2767-9764.crc-24-0064openalex-snapshot
Artificial Intelligence–Assisted Cancer Status Detection in Radiology Reports
inferredcites →https://doi.org/10.1162/tacl_a_00638openalex-snapshot
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inferredcites →https://doi.org/10.1177/10732748231209892openalex-snapshot
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inferredcites →https://doi.org/10.1186/s12859-023-05439-1openalex-snapshot
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inferredcites →https://doi.org/10.1186/s12911-022-01810-zopenalex-snapshot
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inferredcites →https://doi.org/10.1186/s12911-023-02121-7openalex-snapshot
Deep learning approach to detection of colonoscopic information from unstructured reports
inferredcites →https://doi.org/10.1186/s13000-024-01464-7openalex-snapshot
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review
inferredcites →https://doi.org/10.1186/s42492-023-00136-5openalex-snapshot
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
inferredcites →https://doi.org/10.1200/cci.23.00048openalex-snapshot
Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy
inferredcites →https://doi.org/10.2147/lra.s240564openalex-snapshot
Burnout in Healthcare Workers: Prevalence, Impact and Preventative Strategies
inferredcites →https://doi.org/10.2196/19689openalex-snapshot
Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework
inferredcites →https://doi.org/10.2196/26777openalex-snapshot
Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study
inferredcites →https://doi.org/10.2196/27210openalex-snapshot
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inferredcites →https://doi.org/10.3857/roj.2023.00633openalex-snapshot
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inferredcites →https://doi.org/10.59948/osou4.2023.02openalex-snapshot
Дистанційне навчання, Google calendar, Google Slides, Google Docs, Google Chat.
inferredcites →https://doi.org/10.7861/futurehosp.6-2-94openalex-snapshot
The potential for artificial intelligence in healthcare

What points at this work

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

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inferred← citeshttps://doi.org/10.1038/s41746-026-03170-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/jamiaopen/ooag036openalex-snapshot
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Performance assessment of large language models in cancer staging: Comparative analysis of Mistral models
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Combining Clinician Expertise with Prompt Engineering enhances Small Language Models Reliability for Cancer Entity Recognition in Electronic Health Records
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315460openalex-snapshot
Integrating Gender-Sensitive Data into Clinical AI Systems: A Proof of Concept for Inclusive Healthcare
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Evaluating Multimodal LLMs for Information Extraction from Oncology Reports Requires a Clinically Curated Ground Truth—Two-Phase Evaluation of GPT-4.1 versus GPT-4.0
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inferred← citeshttps://doi.org/10.1200/cci-25-00112openalex-snapshot
Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research
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