Addressing the imminent shortfall of 10 million health workers by 2030, predominantly in Low- and Middle-Income Countries (LMICs), this paper introduces an innovative approach that harnesses the power of Large Language Models (LLMs) integrated with machine translation models. This solution is engineered to meet the unique needs of Community Health Workers (CHWs), overcoming language barriers, cultural sensitivities, and the limited availability of medical dialog datasets. I have crafted a model that not only boasts superior translation capabilities but also undergoes rigorous fine-tuning on open-source datasets to ensure medical accuracy and is equipped with comprehensive safety features to counteract the risks of misinformation.
Featuring a modular design, this approach is specifically structured for swift adaptation across various linguistic and cultural contexts, utilizing open-source components to significantly reduce healthcare operational costs. This strategic innovation markedly improves the accessibility and quality of healthcare services by providing CHWs with contextually appropriate medical knowledge and diagnostic tools. This paper highlights the transformative impact of this context-aware LLM, underscoring its crucial role in addressing the global healthcare workforce deficit and propelling forward healthcare outcomes in LMICs.
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
Google Research（谷歌研究院）；Google DeepMind（谷歌DeepMind）；University of Alberta（阿尔伯塔大学）；Massachusetts Institute of Technology（麻省理工学院）；Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）；Harvard T.H. Chan School of Public Health（哈佛陈曾熙公共卫生学院）
Large Language Models for Mental Health: A Multilingual Evaluation
George Mason University（乔治·马歇尔大学）；Interdisciplinary School of Doctoral Studies, University of Bucharest（布加勒斯特大学跨学科博士研究学院）；PRHLT Research Center, Universitat Politècnica de València（瓦伦西亚理工大学PRHLT研究中心）；University of Minnesota（明尼苏达大学）
Automated Analysis Framework for Multilingual Climate-Health Literature Based on Multi-Agent Large Language Model
Tsinghua University（清华大学）；Huawei Technologies Co., Ltd（华为技术有限公司）；Renmin University of China（中国人民大学）；Beijing Forestry University（北京林业大学）；National Institute of Natural Hazards, Ministry of Emergency Management of China（中国应急管理部国家自然灾害防治研究院）
Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
University of Illinois College of Medicine Rockford（伊利诺伊大学罗克福德医学院）；National Center for Rural Health Professions（农村健康专业中心）；Sri Sivasubramaniya Nadar College of Engineering（塞维萨布拉曼尼亚那德尔工程学院）；M. Kumarasamy College of Engineering（M. Kumarasamy 工程学院）；The Ohio State University Wexner Medical Center（俄亥俄州立大学韦克斯纳医疗中心）；iWorks Corporation（iWorks 公司）；Central South University（中南大学）；Bacha Khan University（巴哈汗大学）
Universitat Politècnica de València（瓦伦西亚理工大学）；University of Trento（特伦托大学）；University of Sheffield（谢菲尔德大学）；Bonn-Aachen International Center for Information Technology, University of Bonn（波恩-亚琛信息科技国际中心，波恩大学）；Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔机器学习与人工智能研究所）；University of Pisa（比萨大学）；University of Milano-Bicocca（米兰-比可卡大学）；ValgrAI Valencian Graduate School and Research Network of Artificial Intelligence（瓦伦西亚人工智能研究生学校和研究网络）
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
Universitat Politècnica de València（瓦伦西亚理工大学）；Bonn-Aachen International Center for IT（波恩-亚琛国际信息技术中心）；University of Sheffield（谢菲尔德大学）；University of Trento（特伦托大学）；Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔机器学习与人工智能研究所）；ValgrAI Valencian Graduate School and Research Network of Artificial Intelligence（瓦伦西亚人工智能研究生院及研究网络）
Multi-lingual Multi-institutional Electronic Health Record based Predictive Model
Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology（韩国科学技术院金载哲人工智能研究生院）；NAVER Digital Healthcare LAB（NAVER数字医疗实验室）；Department of Health and Medical Information, Ansan University（安山大学健康与医疗信息系）；Institute of Human Behavior and Genetics, Korea University College of Medicine（高丽大学医学院人类行为与遗传研究所）
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models
University of Pittsburgh（匹兹堡大学）；University of Pittsburgh Medical Center（匹兹堡大学医学中心）；Clinical and Translational Science Institute, University of Pittsburgh（匹兹堡大学临床与转化科学研究所）
XTRUST: On the Multilingual Trustworthiness of Large Language Models
School of Artificial Intelligence, Jilin University, China（吉林大学人工智能学院）；The Hong Kong University of Science and Technology (Guangzhou), China（香港科学与技术大学（广州））；Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China（知识驱动人机智能工程研究中心）；International Center of Future Science, Jilin University, China（未来科学国际中心）
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
Vector Institute for Artificial Intelligence（人工智能向量研究院）；University of Tennessee（田纳西大学）；York University（约克大学）；McGill University（麦吉尔大学）
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（深圳先进技术研究所，中国科学院）；School of Computer Science and Technology, Beijing Institute of Technology（计算机科学与技术学院，北京理工大学）；School of Engineering, Westlake University（工程学院，西湖大学）
Multilingual Performance of a Multimodal Artificial Intelligence System on Multisubject Physics Concept Inventories
AI Center, ETH Zurich（ETH Zurich人工智能中心）；Michigan State University（密歇根州立大学）；Charles University（查理大学）；Uppsala University（乌普萨拉大学）；Portland State University（波特兰州立大学）
本研究评估了 GPT-4o 在多语言、多学科物理概念量表上的多模态表现，发现其除实验室技能外优于本科生，但视觉解读能力较弱，并强调了物理教育中应对 AI 的策略。
Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health
IBM T. J. Watson Research Center（IBM TJ沃森研究中心）；Morehouse School of Medicine（莫尔豪斯医学院）；Cleveland Clinic Foundation（克利夫兰诊所基金会）；Queen’s University（女王大学）；Red Hat（红帽公司）
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication
University of Surrey（萨里大学）；University of Amsterdam（阿姆斯特丹大学）
AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
MedAi Bangladesh Limited（MedAi孟加拉有限公司）；Central Police Hospital, Dhaka, Bangladesh（达卡警察医院）；University of Birmingham, UK（英国伯明翰大学）
Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking
Language Technology Lab, University of Cambridge（剑桥大学语言技术实验室）；School of Computation, Information and Technology, Technical University of Munich（慕尼黑技术大学计算、信息与技术学院）；Independent Researcher（独立研究员）
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Università della Svizzera italiana（瑞士大学）；Interdisciplinary School of Doctoral Studies, University of Bucharest（布加勒斯特大学跨学科博士研究学院）；PRHLT Research Center, Universitat Politècnica de València（瓦伦西亚理工大学PRHLT研究中心）；George Mason University（乔治·梅森大学）；Lancaster University（兰卡斯特大学）
