Aidoc

🚨 Introducing a groundbreaking clinical AI foundation model 🚨 We’re proud to announce the development of CARE1™ (Clinical AI Reasoning Engine, Version 1), a revolutionary clinical-grade foundation model for CT imaging. It's the first step in our multi-year investment into our CARE™ framework. This breakthrough sets the foundation to empower clinicians to detect multiple critical conditions with unprecedented speed and accuracy—directly addressing health systems challenges by reducing diagnostic delays and enhancing patient care with faster, more reliable results. By combining expertise, scale and innovation, CARE1™ is designed to redefine what’s possible in clinical AI and is well positioned to set a new benchmark for accuracy, versatility and reliability in healthcare diagnostics. More: https://lnkd.in/eZPMmEsB

The conversations at The VIVA Foundation 2024 and the VEITHsymposium highlighted a dynamic period for vascular care, with AI offering exciting possibilities for innovation. Deepak Srikant shares five takeaways from both events, and how they can help improve patient outcomes, not only for acute emergencies but also for chronic disease management. More: https://okt.to/jloTH4

Securing the future of healthcare requires balancing data accessibility with robust protection. Frameworks like NIST, ISO and OWASP are critical for safeguarding patient data in AI-integrated systems - ensuring trust and compliance while enabling innovation. Yuval Segev, Chief Information Security Officer at Aidoc, shares how proactive strategies like risk assessments and governance are driving secure, interoperable health IT solutions: https://okt.to/4GNmyC

Breast density significantly affects cancer detection, but its assessment has often been subjective. With the new FDA requirements our partner ScreenPoint Medical is helping radiologists deliver accurate, consistent density evaluations, ensuring patients receive the information they need to make informed decisions. More: https://okt.to/VOBAIz

Economic ROI of AI solutions can feel elusive at times, but careful analysis can show otherwise. To help gauge the potential revenue opportunities from leveraging AI in clinical care, we give you our short guide.👇

We're honored to support Scottsdale Institute and its members with clinical AI solutions to create effective and equitable care.

At Radiological Society of North America (RSNA) 2024, foundation models emerged as a driving force behind the next era of clinical AI, marking a clear shift from potential to real-world possibilities. Leaders like Nina Kottler, MD, MS, FSIIM also highlighted the critical role radiologists play in leading AI adoption to ensure it delivers meaningful value to patients and clinicians. Explore these insights and more in Andrew MacLean's recap of what’s next for clinical AI as we enter 2025. https://okt.to/W1wlTJ

The first step in any AI strategy is identifying the “Why?” So how are health system leaders approaching this? Debbie Cancilla from Temple Health – Temple University Health System and Josh Glandorf from UC San Diego Health share how they mapped out strategies for defining AI's role in their organizations. More: https://okt.to/3WhXIJ

As powerful as AI can be in clinical environments, its success depends on understanding how it fits into–and enhances–existing workflows. Debi Taylor, MSN, RN, SCRN, outlines three steps to help healthcare facilities assess their workflows to set the stage for maximizing AI’s impact: https://okt.to/NRztTa

AI was a central focus at this year's Society of Vascular and Interventional Neurology (SVIN) meeting, emphasizing its influence in vascular neurology and its potential to revolutionize stroke care. Laci Costa shares three takeaways from this year's event, and how they can help improve outcomes for stroke patients worldwide. https://okt.to/c8RdKU