Aidoc

What can you expect at Radiological Society of North America (RSNA) 2024? Here are four things to watch for this year that provide insight into how radiologists can fully leverage AI to enhance efficiency and reduce burnout: https://okt.to/9TFayv #RSNA24 #Radiology #HealthcareAI

“We’re not even close to tapping all the potential of AI in radiology.” In a conversation with Scott Williams, MD, Medical Director, Chief of Service and Vice Chairman, Department of Radiology at Hoag Health System, he shares insights around the transformative potential of AI in radiology. Some of the highlights include: •How AI enhances radiology without replacing radiologists •How effective AI can help improve patient outcomes and boost hospital ROI •How AI can help improve time-to-treatment and communication across care teams More: https://okt.to/J4vqcz #RSNA24 #Radiology

One of the most anticipated conversations at Radiological Society of North America (RSNA) 2024 will focus around foundation models and their potential to significantly expand the scope of radiology AI. It's one of three themes we're looking at heading into this year's event. Our Andrew MacLean shares his perspective. More: https://okt.to/71OzJk #RSNA24

I was thrilled to join a Coalition for Health AI (CHAI) panel today at our nation’s capitol with Micky Tripathi, Ed Simcox & Celena Wheeler to speak on AI transparency efforts in healthcare.  Many thanks to Senator Mike Rounds for hosting the inaguaral CHAI on the Hill event. The sessions today deliver on the promises discussed in the bipartisan “Consumers LEARN AI” Act proposed this summer by Senator Rounds and Senator Kelly. Clinical AI occupies a unique and critical space in healthcare, standing out as both high-risk and high-reward. Whether a use case is autonomous or augmentative, the stakes are exceptionally high because every interaction ultimately affects patient care and outcomes. This inherent risk has resulted in clinical AI being subject to some of the most rigorous oversight and regulatory focus across all industries. While this scrutiny may appear daunting, it has also created opportunities for trustworthy and reliable solutions to emerge, ensuring that these technologies meet the highest standards for safety and efficacy. Only through responsible development and widely adopted transparency practices can we ensure AI in healthcare will deliver on its significant promise potential. Coalition for Health AI (CHAI), Brian Anderson, MD, Brenton Hill, JD, MHA, Michael Pencina, Lucy Orr-Ewing, Kathleen Gayle

It's an honor to once again be recognized as one of the 500 fastest-growing technology companies in North America by Deloitte! 🚀 The 2024 Technology Fast 500 Award is a testament to our team and their passion for transforming healthcare through pioneering clinical AI solutions—empowering healthcare teams to optimize patient care. More: https://okt.to/MOIgzc #Fast500 #HealthcareAI #ClinicalAI

Not every ED imaging order needs to be “STAT”—but how can radiology teams efficiently prioritize critical cases? AI-driven workflow automation can help by prioritizing cases based on actual acuity, speeding up patient care and improving outcomes. Discover how AI can help reshape ED prioritization: https://okt.to/DOInQS #HealthcareAI

New research published in the American Journal of Roentgenology found that Aidoc’s solution helped radiologists improve awareness of incidental pulmonary embolism with significant accuracy. Browse selected results and access a study summary below 👇 https://okt.to/IZKwWX #RSNA2024 #RadiologyAI

Effective AI governance is more than just a collection of policies—it's about guiding change. Chief Transformation Officer, Demetri Giannikopoulos, emphasizes a strong change management approach helps build trust and ensures successful implementation. Explore more: https://okt.to/yqrLnl #AIGovernance #HealthcareAI

The key to clinical adoption of AI according to Alexander Misono, MD, MBA, RPVI, Chief of Interventional Radiology at Hoag Hospital Irvine, is to involve your entire clinical team—not just physicians—for full AI adoption and impact. With Radiological Society of North America (RSNA) 2024 approaching, radiology leaders from Hoag Health System share how Aidoc's AI technology has been fully embraced by their team of nearly 40 radiologists, to help maximize its impact on patient care. More: https://okt.to/WsGCmP #HealthcareAI #RSNA2024 #Radiology

While clinical AI promises cost savings and efficiency gains, achieving these benefits requires careful planning. Upfront investment, integration challenges and data underutilization can all hinder expected ROI. Before committing to an AI solution, health systems should conduct an analysis that identifies potential AI-related inefficiencies to help prevent project derailment. More: https://lnkd.in/eBXa55JA #ClinicalAI #HealthcareAI