{"id":37707,"date":"2025-06-17T21:28:47","date_gmt":"2025-06-17T13:28:47","guid":{"rendered":"https:\/\/www.1ai.net\/?p=37707"},"modified":"2025-06-17T21:28:47","modified_gmt":"2025-06-17T13:28:47","slug":"%e8%ae%af%e9%a3%9e%e6%98%9f%e7%81%ab%e5%8c%bb%e7%96%97%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%ae%a3%e5%b8%83%e7%99%bb%e9%a1%b6-medbench-%e6%a6%9c%e5%8d%95%ef%bc%8c%e5%a4%9a%e9%a1%b9%e6%a0%b8%e5%bf%83%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/37707.html","title":{"rendered":"CyberSpark's Big Medical Model Announces Top MedBench Ranking, Ranks #1 in Several Core Capabilities"},"content":{"rendered":"

June 17, 2011 - Xunfei's official post today announced that itsiFlytek Spark<\/a>Medical Model<\/a>exist MedBench<\/a> It topped the latest list with a combined score of 95.4.<\/p>\n

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1AI notes that the XFX Starfire Medical Grand Model ranks first in a number of core competencies, including complex medical reasoning, medical language understanding, and medical safety and ethics.<\/p>\n

MedBench is an authoritative assessment system and platform for Chinese medical big models created by Shanghai Artificial Intelligence Laboratory in cooperation with many organizations, which integrates massive medical knowledge and the rich experience of medical experts in medical institutions, and builds a scientific assessment system covering five dimensions, namely, medical language comprehension, medical language generation, medical knowledge question and answer, complex medical reasoning, and medical safety and ethics, covering a wide range of medical tasks, such as medical examination, medical question and answer, patient service, medical consultation, case analysis and medical record generation, based on authoritative medical standards. It covers a variety of medical tasks such as medical examination, medical Q&A, patient service, medical consultation, case analysis and medical record generation, etc. Based on the authoritative medical standards, it provides all-round and multi-dimensional assessment and quantification of the capability of Chinese medical big model in various medical dimensions.<\/p>\n

According to reports, as the only medical model based on the national production of computing power training, Xunfei medical AI diagnostic assistant has been applied in 692 districts and counties in 31 provinces and cities across the country, more than 74,000 primary health care institutions, serving more than 220,000 grass-roots doctors, and significantly improving the efficiency of the work of grass-roots doctors and the quality of service.<\/p>\n

Xunfei Medical said they have deeply cooperated with more than 500 grade hospitals, using the Xunfei Starfire Medical Grand Model as a base to provide an innovative intelligent service system centered on patient management and a medical quality enhancement program centered on quality control within medical records.<\/p>","protected":false},"excerpt":{"rendered":"

On June 17, an official e-mail from the e-mail service announced that its e-mails to the Big Fire Medical Model peaked with a combined score of 95.4 on MedBench\u2019s latest list. 1AI noted that the large medical model of the Intelsight Fire is first in a number of core competencies, including complex medical reasoning, medical language understanding, medical safety and ethics. According to the official presentation, MedBench, an authoritative assessment system and platform for large models of Chinese medicine developed by the Shanghai Laboratory of Artificial Intelligence, which combines a great deal of medical knowledge and the extensive experience of medical experts in medical institutions, has developed a system of scientific evaluation covering the five dimensions of medical language understanding, medical language generation, medical knowledge questions and answers, complex medical reasoning, medical safety and ethics, covering medical examinations, medical questions and answers<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[6961,2729,362],"collection":[],"class_list":["post-37707","post","type-post","status-publish","format-standard","hentry","category-news","tag-medbench","tag-2729","tag-362"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/37707","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=37707"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/37707\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=37707"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=37707"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=37707"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=37707"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}