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Aidoc to Establish Guideline to Accelerate AI Adoption in Healthcare in Collaboration With NVIDIA

Aidoc to Establish Guideline to Accelerate AI Adoption in Healthcare in Collaboration With NVIDIA

Aidoc將與英偉達合作制定指南,加速人工智能在醫療保健領域的採用
PR Newswire ·  10/21 20:00

New framework addresses critical challenges to clinical AI development and integration

新的框架解決了臨床人工智能開發和整合中的關鍵挑戰

NEW YORK, Oct. 21, 2024 /PRNewswire/ -- Aidoc, a pioneering force in clinical AI, today announced it is co-developing with NVIDIA a Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE), a guideline that aims to accelerate AI adoption across the healthcare industry.

2024年10月21日,紐約 /美通社/ -- Aidoc,作爲臨床人工智能的開拓者,今天宣佈正在與英偉達共同開發《BRIDGE: 引導卓越韌性整合與部署藍圖》,這一旨在加速醫療保健行業人工智能採用的指南。

Slated for release in early 2025, this industry-first guideline will offer a robust, evidence-driven framework for seamlessly integrating AI into clinical workflows, helping healthcare organizations scale AI innovation with greater speed and confidence. The guideline will help establish clear pathways for healthcare systems to fully harness the potential of AI in improving patient outcomes.

計劃於2025年初發布,這一行業首個指南將提供一個強大的基於證據的框架,無縫地將人工智能整合到臨床工作流程中,幫助醫療保健機構以更快的速度和更大的信心擴展人工智能創新。該指南將幫助建立清晰的路徑,使醫療系統充分利用人工智能改善患者結果的潛力。

Despite the approval of over 900 FDA-cleared AI tools for medical imaging, healthcare systems remain mired in fragmentation, operational inefficiencies and scalability issues. The BRIDGE guideline will provide a comprehensive, vendor-neutral roadmap, helping address these persistent challenges and empowering providers to unlock AI's full potential.

儘管有超過900種經FDA認可的醫學影像人工智能工具,醫療體系仍然陷入了碎片化、運營效率低下和可擴展性問題。《BRIDGE: 引導卓越韌性整合與部署藍圖》將提供一個全面的、中立的供應商路線圖,幫助解決這些持續存在的挑戰,賦予提供者解鎖人工智能全部潛力的能力。

Breaking Barriers to AI Adoption

突破人工智能採用障礙

A key challenge for many AI solutions has been the failure to scale effectively because critical considerations around integration were not addressed early enough in the development process. The BRIDGE guideline will provide healthcare systems with direction on addressing scalability and interoperability from the start, enabling the implementation of AI solutions across multiple sites simultaneously.

對許多人工智能解決方案的關鍵挑戰之一是未能有效擴展,因爲在開發過程中早期未解決有關整合的關鍵考慮。《BRIDGE: 引導卓越韌性整合與部署藍圖》將爲醫療保健系統提供關於從一開始解決可擴展性和互操作性問題的指導,使得能夠在多個地點同時實施人工智能解決方案。

"AI holds the potential to revolutionize patient care, but its progress has been stalled by fragmented systems and the inability to scale effectively," said Demetri Giannikopoulos, Chief Transformation Officer, Aidoc. "The BRIDGE guideline will focus on breaking down these barriers, offering a powerful, evidence-based framework that health systems can rely on not just adopt AI but to help scale it across their operations. This will drive both operational efficiency and significantly better outcomes for patients and clinicians alike."

「人工智能有可能徹底改變患者護理,但由於系統碎片化和無法有效擴展,其發展進展受阻,」Aidoc首席轉型官Demetri Giannikopoulos表示。「《BRIDGE: 引導卓越韌性整合與部署藍圖》將致力於消除這些障礙,提供一個強大的、基於證據的框架,醫療體系不僅可以依靠它來採用人工智能,更可以幫助在其運營中擴展人工智能。這將推動運營效率,併爲患者和臨床醫生帶來明顯更好的結果。」

While many existing guidelines focus on governance, regulatory concerns and responsible development practices. BRIDGE will be specifically designed to help developers and healthcare providers consider the practicalities of real-world deployment. This comprehensive framework will empower organizations to navigate the complexities of AI adoption, from ideation to implementation and scalability across hospital systems.

雖然許多現有指南側重於治理、監管問題和負責任的開發實踐。BRIDGE將專門設計,幫助開發人員和醫療保健提供者考慮現實世界部署的實際問題。這套全面的框架將賦予組織能力,讓它們在從構想到實施以及跨醫院系統的擴展這一AI採用的複雜過程中游刃有餘。

How the Guidelines Will Drive AI Adoption

指南如何推動AI採用

This guideline will enable healthcare systems to adopt and scale AI faster and more effectively by simplifying the design, validation, deployment and monitoring of AI tools.

本指南將使醫療系統通過簡化AI工具的設計、驗證、部署和監測,更快、更有效地採用和擴展AI。

Key areas of focus include:

重點關注領域包括:

  • Standardized Validation: Ensuring AI solutions are rigorously tested for real-world use.
  • Interoperability: Facilitating seamless integration of AI tools from different vendors.
  • Scalable Deployment: Providing a roadmap for efficient AI expansion across hospital systems.
  • Continuous Monitoring: Offering best practices to maintain AI accuracy post-deployment.
  • 標準化驗證:確保AI解決方案經過嚴格測試,適合實際應用。
  • 互操作性:促進來自不同供應商的AI工具的無縫集成。
  • 可擴展的部署:提供一個高效的AI擴展路線圖,跨醫院系統進行。
  • 持續監測:提供保持AI準確性在部署後的最佳實踐。

The BRIDGE guideline will lay the groundwork for aligning to industry frameworks, like MONAI, to build the blueprint for the medical AI enterprise platform. MONAI, co-founded by academia and industry, including NVIDIA, in 2019, provides the essential tools for medical AI development, validation and deployment, and provides a strong foundation for building the BRIDGE guideline. With more than three million downloads and currently being used in FDA-approved software-as-medical-device applications, MONAI and its standardization, interoperability and scalability is key to transformative solutions in healthcare.

BRIDGE指南將奠定與行業框架(例如MONAI)對齊的基礎,打造醫療人工智能企業平台的藍圖。MONAI由學術界和行業共同創立,包括英偉達在2019年加入,爲醫療人工智能的開發、驗證和部署提供了必要工具,併爲制定BRIDGE指南提供了堅實基礎。MONAI已有超過三百萬次下載,目前在獲得FDA批准的軟件作爲醫療器械應用中使用,MONAI及其標準化、互操作性和可擴展性對於醫療保健領域的變革性解決方案至關重要。

Real-World Impact

現實世界的影響

The guideline will be developed through close collaboration with healthcare providers, academic partners and industry leaders. This effort will leverage the expertise and experience from real-world AI initiatives to help ensure the framework is practical, actionable and scalable. By focusing on real-world challenges in AI integration, the guideline aims to provide a comprehensive and adaptable approach for healthcare organizations.

該指南將通過與醫療機構、學術合作伙伴和行業領袖密切合作共同開發。這一努力將借鑑來自實際AI項目的專業知識和經驗,以確保該框架是實用、可操作且可擴展的。通過專注於AI整合中的現實挑戰,該指南旨在爲醫療機構提供全面且可適應的解決方案。

Learn more about the BRIDGE Guideline including how to access it in 2025 and help shape the overall direction here.

了解更多關於BRIDGE指南的信息,包括如何在2025年訪問並幫助制定整體方向。

About Aidoc

關於Aidoc

Aidoc is a pioneering force in clinical AI. We focus on aiding and empowering healthcare teams to optimize patient treatment, which results in improved economic value and clinical outcomes. Built on Aidoc's proprietary aiOS, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Used in more than 1,000 medical centers worldwide, Aidoc has the most FDA clearances (17) in clinical AI and its AI-based solutions cover 75 percent of patient populations, enabling physicians to make informed decisions based on real-time data. Visit Aidoc.com to see how we are connecting all points of care with always on AI.

Aidoc是臨床人工智能領域的開拓者。我們專注於幫助和賦予醫療團隊優化患者治療,從而改善經濟價值和臨床結果。基於Aidoc獨有的aiOS,我們分析和整合醫療數據,讓護理團隊能夠對意外情況進行操作,並始終專注於患者。Aidoc在全球1000多家醫療中心中使用,擁有最多的FDA清單(17)臨床人工智能認可,並其基於人工智能的解決方案涵蓋75%的患者群體,使醫生可以根據實時數據做出明智決策。訪問Aidoc.com了解我們如何通過始終開啓的人工智能連接所有護理點。

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SOURCE Aidoc

來源:Aidoc

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