--- title: "Health Informatics — papers — Elamur Research" description: "Health Informatics: 53 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/medicine/health-informatics/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/medicine/health-informatics/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Medicine](https://md.research.elamur.ai/free/en/shelves/medicine/) / Health Informatics # 🩺 Health Informatics 53 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Health Informatics is a subfield of Medicine in the OpenAlex classification of science. The topics most of its papers here are on: «Artificial Intelligence in Healthcare and Education». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/page/2/) 1. [**ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education**Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.*2023 · 7,436 citations*](https://md.research.elamur.ai/free/en/papers/kasneci-2023-chatgpt-good-opportunities-challenges-large/) 2. [**Large Language Models Encode Clinical Knowledge**Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.*2022 · 4,477 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2022-large-language-models-encode-clinical/) 3. [**Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models**Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, et al.*2023 · 4,168 citations*](https://md.research.elamur.ai/free/en/papers/kung-2023-performance-chatgpt-usmle-potential-ai/) 4. [**Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization**Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.*2023 · 928 citations*](https://md.research.elamur.ai/free/en/papers/veen-2023-adapted-large-language-models-outperform/) 5. [**Capabilities of GPT-4 on Medical Challenge Problems**Harsha Nori, Nicholas King, Scott Mayer McKinney, et al.*2023 · 711 citations*](https://md.research.elamur.ai/free/en/papers/nori-2023-capabilities-gpt-4-medical-challenge/) 6. [**Generating Radiology Reports via Memory-driven Transformer**Zhihong Chen, Yan Song, Tsung-Hui Chang, et al.*2020 · 710 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-generating-radiology-reports-memory-driven/) 7. [**LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 680 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) 8. [**ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge**Yunxiang Li, Zihan Li, Kai Zhang, et al.*2023 · 643 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-chatdoctor-medical-chat-model-fine/) 9. [**Towards Expert-Level Medical Question Answering with Large Language Models**Karan Singhal, Tao Tu, Juraj Gottweis, et al.*2023 · 509 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2023-towards-expert-level-medical-question/) 10. [**On the Automatic Generation of Medical Imaging Reports**Baoyu Jing, Pengtao Xie, Eric Xing*2018 · 480 citations*](https://md.research.elamur.ai/free/en/papers/jing-2018-automatic-generation-medical-imaging-reports/) 11. [**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2022 · 454 citations*](https://md.research.elamur.ai/free/en/papers/pal-2022-medmcqa-large-scale-multi-subject/) 12. [**Benchmarking Retrieval-Augmented Generation for Medicine**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 426 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/) 13. [**BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 408 citations*](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/) 14. [**Towards Mitigating LLM Hallucination via Self Reflection**Ziwei Ji, Tiezheng Yu, Yan Xu, et al.*2023 · 352 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-mitigating-llm-hallucination-self-reflection/) 15. [**Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT**Akshay Smit, Saahil Jain, Pranav Rajpurkar, et al.*2020 · 336 citations*](https://md.research.elamur.ai/free/en/papers/smit-2020-combining-automatic-labelers-expert-annotations/) 16. [**MEDITRON-70B: Scaling Medical Pretraining for Large Language Models**Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.*2023 · 311 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-meditron-70b-scaling-medical-pretraining/) 17. [**HuatuoGPT, Towards Taming Language Model to Be a Doctor**Hongbo Zhang, Junying Chen, Feng Jiang, et al.*2023 · 282 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-huatuogpt-taming-language-model-be/) 18. [**MedDialog: Large-scale Medical Dialogue Datasets**Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.*2020 · 247 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/) 19. [**MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/) 20. [**MedAlpaca — An Open-Source Collection of Medical Conversational AI Models and Training Data**Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-medalpaca-open-source-collection-medical/) 21. [**GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information**Qiao Jin, Yifan Yang, Qingyu Chen, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/) 22. [**Med-HALT: Medical Domain Hallucination Test for Large Language Models**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-med-halt-medical-domain-hallucination/) 23. [**Accelerating scientific discovery with Co-Scientist**Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.*2025 · 212 citations*](https://md.research.elamur.ai/free/en/papers/gottweis-2025-accelerating-scientific-discovery-co/) 24. [**HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge**Haochun Wang, Chi Liu, Nuwa Xi, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-huatuo-tuning-llama-model-chinese/) 25. [**PMC-LLaMA: Towards Building Open-source Language Models for Medicine**Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-pmc-llama-towards-building-open/) **1** [2](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/page/2/) Updated 24 October 2026 - [← previous subfield Epidemiology](https://md.research.elamur.ai/free/en/shelves/medicine/epidemiology/) - [next subfield → Infectious Diseases](https://md.research.elamur.ai/free/en/shelves/medicine/infectious-diseases/) - [↑ back to Medicine](https://md.research.elamur.ai/free/en/shelves/medicine/)