KenKone Medical Technology (hereafter referred to as KenKone), which has made significant breakthroughs in the field of artificial intelligence, recently announced the successful integration of an open-source large language model (LLM) with its accumulated valuable medical data and proprietary Medical Language Model (Medical LLM). This integration enhances its product, the EVAS Medical Intelligent Assistant, making it excel in tasks such as summarization, keyword extraction, error correction, and medical record generation. By utilizing cutting-edge generative AI technology, EVAS transforms structured medical reports into fluent, easily readable narrative articles. This technological revolution significantly improves the quality and efficiency of medical records.

Notably, this technology operates entirely on local servers, ensuring the security and privacy of patient data. This is a crucial advancement for modern healthcare services as it not only enhances data processing speed but also strengthens data protection.

What is even more exciting is that this technology allows for model fine-tuning, enabling personalized adjustments based on a small number of medical report samples from physicians. This means that every physician can now have a customized GPT model that perfectly fits their individual style and needs. Whether it’s language style or the use of professional terminology, this system can accurately meet the unique requirements of each physician, thereby increasing work efficiency and reducing the workload.

KenKone’s innovation not only showcases the unlimited potential of generative AI technology but also demonstrates the company’s leading position in driving technological advancements in the healthcare industry. As the trend of GPT technology sweeps across the globe, KenKone’s application of this technology not only improves the quality of healthcare services but also opens up new possibilities for the future development of the global healthcare industry.