In this paper, we introduce InMD-X, a collection of multiple large language models specifically designed to cater to the unique characteristics and demands of Internal Medicine Doctors (IMD). InMD-X represents a groundbreaking development in natural language processing, offering a suite of language models fine-tuned for various aspects of the internal medicine field. These models encompass a wide range of medical sub-specialties, enabling IMDs to perform more efficient and accurate research, diagnosis, and documentation. InMD-X's versatility and adaptability make it a valuable tool for improving the healthcare industry, enhancing communication between healthcare professionals, and advancing medical research. Each model within InMD-X is meticulously tailored to address specific challenges faced by IMDs, ensuring the highest level of precision and comprehensiveness in clinical text analysis and decision support. This paper provides an overview of the design, development, and evaluation of InMD-X, showcasing its potential to revolutionize the way internal medicine practitioners interact with medical data and information. We present results from extensive testing, demonstrating the effectiveness and practical utility of InMD-X in real-world medical scenarios.

翻译：本文提出InMD-X——一组针对内科医生（IMD）独特特征与需求专门设计的大规模语言模型集合。InMD-X代表了自然语言处理领域的突破性进展，提供了一套针对内科各细分领域进行精细调优的语言模型。这些模型涵盖广泛的医学亚专科，使内科医生能够在研究、诊断及文档编写过程中实现更高效率与准确性。凭借其多功能性与适应性，InMD-X成为提升医疗行业水平、促进医护专业人员沟通协作、以及推动医学研究发展的宝贵工具。该模型集合中的每个模型均针对内科医生面临的特定挑战进行了精心定制，从而在临床文本分析与决策支持方面确保最高精度与全面性。本文概述了InMD-X的设计、开发与评估过程，展示了其革新内科医生与医疗数据及信息交互方式的潜力。我们展示了通过广泛测试获得的结果，验证了InMD-X在真实医疗场景中的有效性与实用价值。