WILMINGTON, Del.--(BUSINESS WIRE)--Maverick Medical AI, or Maverick, a provider of an innovative and autonomous AI-powered medical coding platform, announced today that it has partnered with RadNet, Inc. (NASDAQ: RDNT), a leading national provider of free-standing, fixed-site radiology diagnostic imaging services in the United States.

WILMINGTON，Del。--（BUSINESS WIRE）-Maverick Medical AI或Maverick，一家创新和自主的AI动力医疗编码平台的提供商，今天宣布它已与RadNet，Inc。（纳斯达克股票代码：RDNT）合作，这是一家领先的国家独立式固定现场放射诊断成像服务提供商。

Through this partnership, Maverick integrates its Autonomous Medical Coding platform as the solution for RadNet’s medical coding needs, which will help optimize its revenue cycle management process, reduce operational costs, and increase reimbursement..

通过这种合作关系，Maverick整合了自主医疗编码平台作为RadNet医疗编码需求的解决方案，这将有助于优化其收入周期管理流程，降低运营成本，提高报销。。

Maverick’s Autonomous Medical Coding platform has already been successfully deployed within RadNet’s network of imaging centers. By integrating with DeepHealth, RadNet’s AI-powered health informatics system, Maverick is part of the company’s drive to create breakthroughs in care delivery.

Maverick的自主医疗编码平台已经成功部署在RadNet的成像中心网络中。通过与RadNet的AI驱动的健康信息系统DeepHealth集成，Maverick成为该公司在护理服务方面创造突破的动力的一部分。

Maverick combines the domain knowledge of medical coding with cutting-edge machine learning and generative AI. It autonomously analyzes clinical notes and reports, accurately generating reimbursement codes (ICD-10, CPT) in real-time and allowing for charges to be available to billing systems within seconds.

Maverick将医疗编码领域知识与尖端机器学习和生成AI相结合。它自主分析临床笔记和报告，实时准确生成报销代码（ICD-10，CPT），并允许收费可用于计费系统在几秒钟内。

One of Maverick’s key capabilities is its auditing features, which provide RadNet’s medical coding team the ability to review pre-populated reimbursement codes in a timely fashion. Maverick’s ability to perform active learning enables the collection of feedback in real-time from auditors and medical coders, allowing the platform to adapt without any human intervention.

Maverick的关键能力之一是其审计功能，为RadNet的医疗编码团队提供了及时审查预先填写的报销代码的能力。Maverick执行主动学习的能力使得能够从审计师和医疗编码人员实时收集反馈，使平台能够在没有任何人为干预的情况下进行调整。

The result is a significant boost in productivity..

结果是显着提高了生产力。。

RadNet’s Senior Vice President of Information Technology, Susan Hollabaugh, said, “Prior to choosing Maverick, we conducted a year-long assessment of various autonomous coding platforms. Our selection was driven by a combination of key criteria, including a requirement for cutting-edge generative AI technology, support for MIPS quality measures, the development of a real-time radiologist interface for addendum creation, and the ability for the platform to continuously adapt to evolving coding guidelines and regulations.

RadNet的信息技术高级副总裁Susan Hollabaugh说， “在选择Maverick之前，我们对各种自主编码平台进行了长达一年的评估。我们的选择是由一系列关键标准驱动的，包括对尖端生成AI技术的要求，对MIP质量措施的支持，开发实时放射科医师界面以创建附录，以及平台不断适应的能力不断发展的编码准则和法规。

Additionally, we conducted a successful pilot of Maverick's generative AI engine on 350,000 studies, achieving an unprecedented 85 percent direct-to-bill rate.”.

此外，我们在35万项研究中成功实施了小牛生成AI引擎的试点，实现了前所未有的85%直接计费率“。

“Our platform's ability to blend the power of deep learning generative AI and medical coding domain knowledge has proven to significantly transform medical coding efficiency,” says Yossi Shahak, CEO of Maverick Medical AI. “Our integration with RadNet’s AI informatics platform, DeepHealth, will span all 360-plus imaging sites in their nationwide network, ensuring a superior direct-to-bill rate.

Yossi Shahak说：“我们的平台将深度学习生成AI和医疗编码领域知识相结合的能力已被证明可以显着改变医疗编码效率。”，Maverick Medical AI的首席执行官。”我们与RadNet的AI信息平台DeepHealth的整合将跨越其全国网络中的所有360多个成像站点，确保卓越的直接收费率。

By replacing the legacy computer-assisted coding systems with Maverick Medical AI, we are not just streamlining medical coding processes, but also reducing errors and shaping the future of medical coding.”.

通过用Maverick Medical AI替换传统的计算机辅助编码系统，我们不仅简化了医疗编码流程，而且还减少了错误并塑造了医疗编码的未来“。

About Maverick Medical AI

关于Maverick Medical AI

Maverick Medical AI streamlines medical coding for healthcare providers, including imaging centers and hospitals, by automating the process with its personalized, autonomous medical coding platform. This innovative technology leads to decreased operational expenses, reduced denials, and increased direct-to-bill percentage.

Maverick Medical AI通过其个性化，自主的医疗编码平台自动化流程，为医疗保健提供者（包括成像中心和医院）简化医疗编码。这项创新技术降低了运营费用，减少了否认，并提高了直接计费百分比。

Its proprietary deep learning generative AI models and synthetic data generation capabilities set Maverick apart from the competition as the go-to solution for any medical coding needs..

其专有的深度学习生成AI模型和合成数据生成功能使Maverick与竞争脱颖而出，成为任何医疗编码需求的首选解决方案。。

For more information, visit www.maverick-ai.com/.

欲了解更多信息，请访问www.maverick-ai.com/。

About RadNet

关于RadNet

RadNet, Inc., is the leading national provider of freestanding, fixed-site diagnostic imaging services and related information technology solutions (including artificial intelligence) in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 366 owned and/or operated outpatient imaging centers.

RadNet，Inc.是美国独立的固定现场诊断成像服务和相关信息技术解决方案（包括人工智能）的领先国家提供商，根据地点数量和年度成像收入。RadNet拥有366个拥有和/或运营的门诊成像中心网络。

RadNet's markets include California, Maryland, Delaware, New Jersey, New York, Florida, and Arizona. Together with affiliated radiologists, including full-time and per diem employees and technologists, RadNet has approximately 9,000 employees..

RadNet的市场包括加利福尼亚州，马里兰州，特拉华州，新泽西州，纽约州，佛罗里达州和亚利桑那州。RadNet与附属放射科医师（包括全职和每日雇员和技术人员）一起，拥有约9000名员工。。

For more information, visit http://www.radnet.com.

For more information, visit http://www.radnet.com.