mlsanityData to 14 Oct 2026

The Role of Language Models in Modern Healthcare: A Comprehensive Review

arXiv 2409.16860 ↗First posted 25 Sep 2024cs.CV cs.AI cs.CLcited by 1

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Abstract (arXiv)

The application of large language models (LLMs) in healthcare has gained significant attention due to their ability to process complex medical data and provide insights for clinical decision-making. These models have demonstrated substantial capabilities in understanding and generating natural language, which is crucial for medical documentation, diagnostics, and patient interaction. This review examines the trajectory of language models from their early stages to the current state-of-the-art LLMs, highlighting their strengths in healthcare applications and discussing challenges such as data privacy, bias, and ethical considerations. The potential of LLMs to enhance healthcare delivery is explored, alongside the necessary steps to ensure their ethical and effective integration into medical practice.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 38 of its 59 references that are in the map. First posted on arXiv 25 Sep 2024.

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38 of 59 references.

References · 38

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  4. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  5. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  6. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,137
  7. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  8. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  9. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsitycited by 3,073
  10. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,947
  11. 2019Language Models as Knowledge Bases?cited by 1,936
  12. 2021GLaM: Efficient Scaling of Language Models with Mixture-of-Expertscited by 897
26 more
  1. 2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Modelscited by 668
  2. 2022BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Miningcited by 538
  3. 2019ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmissioncited by 493
  4. 2023Towards Expert-Level Medical Question Answering with Large Language Modelscited by 384
  5. 2024BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainscited by 301
  6. 2022Language models show human-like content effects on reasoning taskscited by 173
  7. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 163
  8. 2023Med-HALT: Medical Domain Hallucination Test for Large Language Modelscited by 157
  9. 2023DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4cited by 130
  10. 2023Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Healthcited by 118
  11. 2023ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluationcited by 88
  12. 2024MoVA: Adapting Mixture of Vision Experts to Multimodal Contextcited by 83
  13. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  14. 2023Huatuo-26M, a Large-scale Chinese Medical QA Datasetcited by 46
  15. 2023Radiology-Llama2: Best-in-Class Large Language Model for Radiologycited by 42
  16. 2023Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understandingcited by 40
  17. 2023ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMscited by 35
  18. 2022Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Modelcited by 28
  19. 2023Modality Unifying Network for Visible-Infrared Person Re-Identificationcited by 27
  20. 2023Large language models in medicine: the potentials and pitfallscited by 21
  21. 2024Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecuritycited by 21
  22. 2023Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Modelscited by 13
  23. 2022Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networkscited by 11
  24. 2022Exploiting Pretrained Biochemical Language Models for Targeted Drug Designcited by 10
  25. 2023Balanced and Explainable Social Media Analysis for Public Health with Large Language Modelscited by 6
  26. 2023CephGPT-4: An Interactive Multimodal Cephalometric Measurement and Diagnostic System with Visual Large Language Modelcited by 5

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