---
title: "Medicine — papers, page 2 — Elamur Research"
description: "Medicine: 75 papers of the Elamur Research library · page 2 of 2 · 26–75, the most cited first — our summary of each, its ideas, references…"
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# 🩺 Medicine

75 papers · page 2 of 2 · 26–75 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Clinical medicine, public health, diagnosis and the language of health records.

## Papers (75)

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26. [**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/)
27. [**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/)
28. [**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/)
29. [**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/)
30. [**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/)
31. [**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/)
32. [**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/)
33. [**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/)
34. [**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/)
35. [**Seed-TTS: A Family of High-Quality Versatile Speech Generation Models**Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/)
36. [**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/)
37. [**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/)
38. [**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/)
39. [**Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis**Shamila Nasreen, Julian Hough, Matthew Purver*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/nasreen-2021-rare-class-dialogue-act-tagging/)
40. [**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/)
41. [**Vocal Pathologies Detection and Mispronounced Phonemes Identification: Case of Arabic Continuous Speech**Naim Terbeh, Mounir Zrigui*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/terbeh-2016-vocal-pathologies-detection-mispronounced-phonemes/)
42. [**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/)
43. [**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/)
44. [**Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation**Massa Baali, Ibrahim Almakky, Shady Shehata, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/baali-2023-arabic-dysarthric-speech-recognition-using/)
45. [**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/)
46. [**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/)
47. [**Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment**Asif Azad, MD Sadik Hossain Shanto, Mohammad Sadat Hossain, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azad-2026-harf-speech-clinically-aligned-framework/)
48. [**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/)
49. [**Neural Network-assisted Analysis of Tube Vocal Tract Models**Runhui Song, Johan Sjons, Axel G. Ekstrom*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/song-2026-neural-network-assisted-analysis-tube/)
50. [**Reading Dynamics and Comprehension in Cognitive Aging: A Multimodal Language Resource**Claudia Marzi, Noemi Boni, Alice Todesco, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marzi-2026-reading-dynamics-comprehension-cognitive-aging/)
51. [**VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling**Yanir Marmor; Arad Zulti; David Krongauz; Adam Gabet; Yoad Snapir; Yair Lifshitz;, Eran Segal*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marmor-2026-voxknesset-large-scale-longitudinal-hebrew/)
52. [**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/)
53. [**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/)
54. [**ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/)
55. [**AURORA Model of Formant-to-tongue Inversion for Didactic and Clinical Applications**Patrycja Strycharczuk, Sam Kirkham*2026*](https://md.research.elamur.ai/free/en/papers/strycharczuk-2026-aurora-model-formant-tongue-inversion/)
56. [**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/)
57. [**Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)
58. [**EpiGator: An Event-based Surveillance System for Infectious Disease Outbreaks**Yiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-epigator-event-based-surveillance-system/)
59. [**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/)
60. [**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/)
61. [**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/)
62. [**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/)
63. [**JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/)
64. [**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/)
65. [**RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-radtimeline-timeline-summarization-longitudinal-radiological/)
66. [**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/)
67. [**SOMVOICE: A First Dataset to Study the Effects of Sleep Deprivation on Voice Characteristics of Healthy French Speakers**Vincent P. Martin, Jean-Luc Rouas, Colleen Beaumard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martin-2026-somvoice-first-dataset-study-effects/)
68. [**Tools for Estimating the Perceived Level of Phonetic Reduction**Nigel Ward, Javier Vazquez, Emma (Danny) R. Boushka, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ward-2026-tools-estimating-perceived-level-phonetic/)
69. [**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/)
70. [**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/)
71. [**“Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in Reddit**Greta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zella-2026-oat-milk-vegan-chocolate-taste/)
72. [**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/)
73. [**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/)
74. [**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/)
75. [**L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French)**Mohammad Abuoudeh, Olivier Crouzet*2016*](https://md.research.elamur.ai/free/en/papers/abuoudeh-2016-l-impact-des-variations-temporelles/)

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