mlsanityData to 14 Oct 2026

Applications of Large Models in Medicine

arXiv 2502.17132 ↗First posted 24 Feb 2025cs.AIcited by 6

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Abstract (arXiv)

This paper explores the advancements and applications of large-scale models in the medical field, with a particular focus on Medical Large Models (MedLMs). These models, encompassing Large Language Models (LLMs), Vision Models, 3D Large Models, and Multimodal Models, are revolutionizing healthcare by enhancing disease prediction, diagnostic assistance, personalized treatment planning, and drug discovery. The integration of graph neural networks in medical knowledge graphs and drug discovery highlights the potential of Large Graph Models (LGMs) in understanding complex biomedical relationships. The study also emphasizes the transformative role of Vision-Language Models (VLMs) and 3D Large Models in medical image analysis, anatomical modeling, and prosthetic design. Despite the challenges, these technologies are setting new benchmarks in medical innovation, improving diagnostic accuracy, and paving the way for personalized healthcare solutions. This paper aims to provide a comprehensive overview of the current state and future directions of large models in medicine, underscoring their significance in advancing global health.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 97 of its 204 references that are in the map. First posted on arXiv 24 Feb 2025.

Builds on

97 of 204 references.

References · 97

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Cited by year

Citing papers per year: 2025: 6.

6 papers.

  1. 2025Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosiscited by 9
  2. 2025Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Modelscited by 5
  3. 2025Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformerscited by 5
  4. 2025Lightweight Baselines for Medical Abstract Classification: DistilBERT with Cross-Entropy as a Strong Defaultcited by 3
  5. 2025ControlMed: Adding Reasoning Control to Medical Language Modelcited by 0
  6. 2025Dynamic Graph Neural Networks for Physiological Based Pharmacokinetic Modeling: A Novel Data Driven Approach to Drug Concentration Predictioncited by 0

Similar, not cited

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  1. 2025Vision Language Models in Medicine
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  3. 2025MedM-VL: What Makes a Good Medical LVLM?
  4. 2024From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
  5. 2025Performance of Large Language Models in Supporting Medical Diagnosis and Treatment
  6. 2023Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare
  7. 2025Multimodal Large Language Models for Medicine: A Comprehensive Survey
  8. 2025Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond