---
title: "Health Informatics — papers, page 2 — Elamur Research"
description: "Health Informatics: 53 papers of the Elamur Research library · page 2 of 2 · 26–53, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/medicine/health-informatics/page/2/"
---
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# 🩺 Health Informatics

53 papers · page 2 of 2 · 26–53 · 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 (53)

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26. [**HealthBench: Evaluating Large Language Models Towards Improved Human Health**Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.*2025 · 115 citations*](https://md.research.elamur.ai/free/en/papers/arora-2025-healthbench-evaluating-large-language-models/)
27. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
28. [**A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics**Kai He, Rui Mao, Qika Lin, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)
29. [**Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions**Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.*2025 · 75 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-benchmarking-large-language-models-answering/)
30. [**MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning**Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.*2024 · 70 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/)
31. [**CMB: A Comprehensive Medical Benchmark in Chinese**Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-cmb-comprehensive-medical-benchmark/)
32. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/)
33. [**AraMed: Arabic Medical Question Answering using Pretrained Transformer Language Models**Ashwag Alasmari, Sarah Alhumoud, Waad Alshammari*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/alasmari-2024-aramed-arabic-medical-question-answering/)
34. [**Arabic Large Language Models for Medical Text Generation**Abdulrahman Allam, Seif Ahmed, Ali Hamdi, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/allam-2025-arabic-large-language-models-medical/)
35. [**MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark**Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/abu-daoud-2026-medarabench-large-scale-arabic-medical/)
36. [**Can ChatGPT be Your Personal Medical Assistant?**Md. Rafiul Biswas, Ashhadul Islam, Zubair Shah, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/biswas-2023-chatgpt-personal-medical-assistant/)
37. [**Bridging Language Barriers in Healthcare: A Study on Arabic LLMs**Nada Saadi, Tathagata Raha, Clement Christophe, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/saadi-2025-bridging-language-barriers-healthcare-study/)
38. [**Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT**Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tayal-2026-conversational-assistants-support-patients-heart/)
39. [**Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning Pathways**Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rabaey-2026-modeling-clinical-uncertainty-radiology-reports/)
40. [**Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks**Nouar AlDahoul, Yasir Zaki*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-benchmarking-medical-understanding-reasoning-large/)
41. [**A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation**Ahmed Alansary, Molham Mohamed, Ali Hamdi*2026*](https://md.research.elamur.ai/free/en/papers/alansary-2026-severity-based-curriculum-learning-strategy/)
42. [**DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/)
43. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
44. [**HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication**Hassan Saeed Hassan Albattra, Mazen Mohammed Bahgat, Rahatara Ferdousi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/albattra-2026-herhealtheval-evaluating-multilingual-register-sensitive/)
45. [**Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/)
46. [**J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in Japanese**Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shimizu-2026-j-clinicalbench-benchmark-evaluating-large/)
47. [**Persona-Conditioned Generation of Patient Self-Reports from EHRs**Yuexin Wu, Jianming Wei, Vasile Rus*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-persona-conditioned-generation-patient-self/)
48. [**Severity-Aware Weighted Loss for Arabic Medical Text Generation**Ahmed Alansary, Molham Mohamed, Ali Hamdi*2026*](https://md.research.elamur.ai/free/en/papers/alansary-2026-severity-aware-weighted-loss-arabic/)
49. [**Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring**Hadas Ben Atya, Naama Gavrielov, Zvi Badash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/atya-2026-trustworthy-nlp-low-resource-languages/)
50. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/)
51. [**Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records**Abdulrahman Allam, Seif Ahmed, Ali Hamdi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/allam-2025-scaling-arabic-medical-chatbots-using/)
52. [**Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models**Chanseo Lee, Sonu Kumar, Kimon A. Vogt, et al.*2024*](https://md.research.elamur.ai/free/en/papers/lee-2024-advancing-complex-medical-communication-arabic/)
53. [**Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance**Mohamed Issa, Ahmed Abdelwahed*2024*](https://md.research.elamur.ai/free/en/papers/issa-2024-enhancing-medical-support-arabic-language/)

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