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Frontiers of Large Language Models in Medical Report Generation: Foundations, Methods, and Future Perspectives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Toward the Comprehensive Evaluation of Medical Text Generation by Large Language Models: Programmatic Metrics, Human Assessment, and Large Language Models Judgment
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ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports
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Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks
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The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
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Recent trend in medical imaging modalities and their applications in disease diagnosis: a review
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ChatGPT and radiology report: potential applications and limitations
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Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination
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Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
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A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
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Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge
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Large language models for diabetes care: Potentials and prospects
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Assessing the quality of AI information from ChatGPT regarding oral surgery, preventive dentistry, and oral cancer: An exploration study
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ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
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Large language models in medicine
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Evaluation and mitigation of the limitations of large language models in clinical decision-making
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The model student: GPT-4 performance on graduate biomedical science exams
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Evaluating large language models on medical evidence summarization
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Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
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Privacy-preserving large language models for structured medical information retrieval
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The future landscape of large language models in medicine
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GPT versus Resident Physicians — A Benchmark Based on Official Board Scores
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation
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Performance of ChatGPT and Dental Students on Concepts of Periodontal Surgery
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Transforming epilepsy research: A systematic review on natural language processing applications
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Evaluation of ChatGPT in knowledge of newly evolving neurosurgery: middle meningeal artery embolization for subdural hematoma management
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1142/9789819807024_0015openalex-snapshot
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
inferredcites →https://doi.org/10.1145/3458754openalex-snapshot
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
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A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
inferredcites →https://doi.org/10.1177/01410768231181251openalex-snapshot
GPT-4: the future of artificial intelligence in medical school assessments
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Comparing diagnostic skills in endodontic cases: dental students versus ChatGPT-4o
inferredcites →https://doi.org/10.1186/s12911-020-01332-6openalex-snapshot
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
inferredcites →https://doi.org/10.1186/s12911-024-02600-5openalex-snapshot
Transformer models in biomedicine
inferredcites →https://doi.org/10.1186/s12911-025-02954-4openalex-snapshot
A systematic review of large language model (LLM) evaluations in clinical medicine
inferredcites →https://doi.org/10.1186/s42234-023-00118-1openalex-snapshot
Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform
inferredcites →https://doi.org/10.1609/aaai.v38i3.28038openalex-snapshot
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
inferredcites →https://doi.org/10.2147/jmdh.s447368openalex-snapshot
Assessing the Effectiveness of ChatGPT in Delivering Mental Health Support: A Qualitative Study
inferredcites →https://doi.org/10.2196/32875openalex-snapshot
Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model
inferredcites →https://doi.org/10.2196/48633openalex-snapshot
Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review
inferredcites →https://doi.org/10.2196/50965openalex-snapshot
Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study
inferredcites →https://doi.org/10.2196/59479openalex-snapshot
The Opportunities and Risks of Large Language Models in Mental Health
inferredcites →https://doi.org/10.2196/64963openalex-snapshot
Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis
inferredcites →https://doi.org/10.2337/dci24-0079openalex-snapshot
Large Language Models in Diabetes Management: The Need for Human and Artificial Intelligence Collaboration
inferredcites →https://doi.org/10.32996/jmhs.2023.4.1.11openalex-snapshot
Machine Learning with Health Information Technology: Transforming Data-Driven Healthcare Systems
inferredcites →https://doi.org/10.3389/fdmed.2024.1456208openalex-snapshot
Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care
inferredcites →https://doi.org/10.3389/fmed.2023.1278232openalex-snapshot
Principles, applications, and future of artificial intelligence in dermatology
inferredcites →https://doi.org/10.3389/fpsyt.2022.946387openalex-snapshot
Natural language processing in clinical neuroscience and psychiatry: A review
inferredcites →https://doi.org/10.3389/fpsyt.2023.1234397openalex-snapshot
The plasticity of ChatGPT’s mentalizing abilities: personalization for personality structures
inferredcites →https://doi.org/10.3389/fpsyt.2023.1277756openalex-snapshot
ChatGPT is not ready yet for use in providing mental health assessment and interventions
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/10.3389/frai.2025.1504805openalex-snapshot
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare
inferredcites →https://doi.org/10.3390/ai4010003openalex-snapshot
Ethics & AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare
inferredcites →https://doi.org/10.3390/app11115088openalex-snapshot
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
inferredcites →https://doi.org/10.3390/bdcc7020105openalex-snapshot
Breaking Barriers: Unveiling Factors Influencing the Adoption of Artificial Intelligence by Healthcare Providers
inferredcites →https://doi.org/10.3390/bioengineering11101043openalex-snapshot
GPT-Driven Radiology Report Generation with Fine-Tuned Llama 3
inferredcites →https://doi.org/10.3390/biomedinformatics4010047openalex-snapshot
Generative Pre-Trained Transformer-Empowered Healthcare Conversations: Current Trends, Challenges, and Future Directions in Large Language Model-Enabled Medical Chatbots
inferredcites →https://doi.org/10.55922/001c.92367openalex-snapshot
ChatGPT: A Pilot Study on a Promising Tool for Mental Health Support in Psychiatric Inpatient Care
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.ceh.2026.07.002openalex-snapshot
Advancing healthcare with generative AI and large language models: a systematic review of applications in medical imaging, patient communication, and global innovation
inferred← citeshttps://doi.org/10.1109/etaact69135.2026.11541952openalex-snapshot
Framework for Privacy-Preserving Synthetic Medical Image and Report Generation
inferred← citeshttps://doi.org/10.1186/s13561-026-00812-1openalex-snapshot
Generative AI in healthcare: redefining clinical practice through digital transformation
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