How does AI earn clinical trust during procedures? On Outcomes Rocket Media, a healthcare leadership podcast recorded at DeviceTalks Boston, RIVANNA Co-founder and CEO Will Mauldin, PhD, notes that AI adds the most value when it confirms clinical judgment rather than replacing it. Spinal anesthesia is often guided by manual landmark palpation without a direct view of the epidural space. Accuro 3S addresses that gap by pairing ultrasound with integrated image-processing software that overlays automated interpretation onto the ultrasound view. Anesthesia providers first read a familiar image, then use AI interpretation for confirmation. Mauldin describes a clear adoption arc where providers initially cross-check the AI and increasingly rely on it as consistent outcomes build confidence. The same decision-support architecture applies to musculoskeletal care, where the clinical challenge takes on a different shape. As many as 20 million patients present to emergency departments and urgent care centers each year with suspected wrist and ankle fractures. In 70 to 80 percent of cases, no fracture is found, yet most patients still undergo radiographic evaluation, sustaining demand on radiology capacity. Accuro XV received FDA clearance in 2026 as a diagnostic ultrasound system. A deep learning model trained across leading academic medical centers is advancing toward clearance to support fracture triage at the point of care. Listen to the full conversation: https://lnkd.in/g69bTDup #MedTech #ClinicalDecisionSupport #PointOfCareUltrasound
AI Enhances Clinical Trust in Medical Procedures
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AI is becoming increasingly common in ultrasound, and RIVANNA is committed to using AI to improve provider confidence and support successful patient outcomes. I’m so excited to be part of something this innovative. See below for what our CEO had to say about this technology at DeviceTalks Boston! #AIUltrasound #POCUS
How does AI earn clinical trust during procedures? On Outcomes Rocket Media, a healthcare leadership podcast recorded at DeviceTalks Boston, RIVANNA Co-founder and CEO Will Mauldin, PhD, notes that AI adds the most value when it confirms clinical judgment rather than replacing it. Spinal anesthesia is often guided by manual landmark palpation without a direct view of the epidural space. Accuro 3S addresses that gap by pairing ultrasound with integrated image-processing software that overlays automated interpretation onto the ultrasound view. Anesthesia providers first read a familiar image, then use AI interpretation for confirmation. Mauldin describes a clear adoption arc where providers initially cross-check the AI and increasingly rely on it as consistent outcomes build confidence. The same decision-support architecture applies to musculoskeletal care, where the clinical challenge takes on a different shape. As many as 20 million patients present to emergency departments and urgent care centers each year with suspected wrist and ankle fractures. In 70 to 80 percent of cases, no fracture is found, yet most patients still undergo radiographic evaluation, sustaining demand on radiology capacity. Accuro XV received FDA clearance in 2026 as a diagnostic ultrasound system. A deep learning model trained across leading academic medical centers is advancing toward clearance to support fracture triage at the point of care. Listen to the full conversation: https://lnkd.in/g69bTDup #MedTech #ClinicalDecisionSupport #PointOfCareUltrasound
Using AI to Strengthen Clinical Confidence in Procedures with Will Mauldin, Co-Founder and CEO of Rivanna Medical | Outcomes Rocket Podcast - Your Healthcare Insights Delivered
podcast.outcomesrocket.com
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Over the long holiday weekend, I had the chance to listen to a few of the June Becker's Pediatric Leadership podcasts. Two in particular have stuck with me. First, Brian Lancaster at Children's Mercy shared some thoughtful perspectives on how AI is reshaping the digital front door. I was equally intrigued by Ryan M. Cameron, Ed.D., CHCIO, CDH-E's discussion (Children's Nebraska). His comments on the importance of multi-context data and longitudinal patient records come at a critical time as therapeutics, precision medicine, and AI continue to accelerate. I was also struck by his vision for expanding citizen development and AI-enabled innovation across the enterprise. Different topics, but a common theme: the organizations leading the next era of healthcare won't simply deploy AI. They'll rethink how care is delivered, how data is used, and how innovation is enabled across the enterprise. Both conversations are well worth a listen: https://lnkd.in/gys-MYkP https://lnkd.in/g4my62VZ
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We've spent years optimizing healthcare for efficiency, but perhaps AI's greatest opportunity is to help restore empathy, by taking repetitive administrative work off clinicians' shoulders and allowing them to focus on what matters most: their patients. I recently listened to an insightful episode of The Big Unlock Podcast featuring Dhruv Khullar, Associate Professor of Medicine and Population Health Sciences at Weill Cornell Medicine. The conversation explored how technology, public trust, and the evolving role of physicians are reshaping healthcare. One theme stood out throughout the discussion: AI should strengthen healthcare by enabling better human connections not replace them. 📌 Key takeaways: ✅ AI has the potential to reduce administrative burden, improve patient navigation, and give clinicians more time to focus on meaningful patient interactions. ✅ As AI adoption accelerates, evidence-based implementation, governance, and physician education are essential to ensure safe and effective use. ✅ The future of healthcare depends not only on technology but also on trust, leadership, and keeping patients at the center of every innovation. 🎧 Listen to the episode here: https://lnkd.in/gt2JJh5A As AI becomes more embedded in healthcare, how can organizations ensure it enhances the clinician-patient relationship instead of making care feel more transactional? I'd love to hear your thoughts. Ritu M Uberoy | BigRio | MyEyesAI #HealthcareInnovation #ArtificialIntelligence #DigitalHealth #HealthTech #PatientExperience #ClinicalInnovation #HealthcareLeadership #AIinHealthcare #ValueBasedCare #HealthcareTransformation #TheBigUnlock
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AI is already transforming healthcare by turning massive amounts of complex clinical data into actionable insights for both providers and patients. Dr. Thomas Keane from the Office of the National Coordinator for Health IT explores real-world examples of AI in radiology, clinical trial matching, care navigation, and patient engagement, while also addressing the critical need for trusted data standards, governance, and transparency. The discussion highlights how interoperability, workflow design, and responsible AI adoption will shape the future of healthcare decision-making. Access the full Dish on Health IT podcast episode to hear why trust and data quality will be just as important as AI in healthcare: https://hubs.li/Q04hnSTr0 #HealthcareAI #DigitalHealth #Interoperability #FHIR
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🔍 Unlocking the Power of AI in Medicine! Join Dr. Dean Mitchell and Dr. Michael Segal, a leading pediatric neurologist and founder of SimulConsult, as they dive into how AI is revolutionizing patient care. Discover how SimulConsult's innovative software transforms complex medical data into actionable insights for doctors, ensuring patients receive the best treatment possible. 🎧https://spoti.fi/4dM9k4k #AIinMedicine #HealthcareInnovation #MedicalTechnology #Podcast
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The NHS has brought AI into everyday healthcare, transforming diagnostics across 64 trusts, supporting one in three chest x-rays in England. Read our report on a new episode of our podcast with KPMG UK #PartnerContent
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The NHS has brought AI into everyday healthcare, transforming diagnostics across 64 trusts, supporting one in three chest x-rays in England. Read our report on a new episode of our podcast with KPMG UK #PartnerContent
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The NHS has brought AI into everyday healthcare, transforming diagnostics across 64 trusts, supporting one in three chest x-rays in England. Read our report on a new episode of our podcast with KPMG UK #PartnerContent
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Interested in our take on RTLS + AI? In a recent Doceree Dialogue podcast, H.T. Snowday, Senior Director of Midmark RTLS, joins host Ritesh Patel to discuss how real-time location data creates the foundation for practical AI that reduces administrative burden, supports clinical workflows and helps give clinicians more time for patient care. Listen here: https://hubs.ly/Q04pj8HW0
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Too often, sustainability and patient access are treated as separate challenges in clinical research, but in reality, they’re deeply connected. In this episode of ACRO's Good Clinical Podcast, YPrime's Paulo Limgenco explores what it truly takes to design trials that work better for sites, sponsors, and, most importantly, patients. Proud to see YPrime contributing to this discussion as we continue working toward more sustainable and accessible clinical trials. Listen to the full conversation here: https://lnkd.in/gtakDTVx
Sustainability and patient access are often treated as separate conversations in clinical research. In practice, they are the same problem. In the latest episode of ACRO's Good Clinical Podcast, host Sophia McLeod is joined by Paulo Limgenco, VP of Business Operations at YPrime, and Michael Tucker, VP of Patient Experience - Commercial at Medidata Solutions, for a wide-ranging conversation on what it actually takes to build clinical trials that work better for everyone involved. The discussion moves from protocol optimization and site selection to decentralized trial models and localization, examining how AI and digital tools can reduce operational burden while expanding access to research for populations that have historically been left out of it. What grounds the conversation is a consistent thread: technology alone does not produce better trials. Governance frameworks, data stewardship, and human oversight determine whether AI delivers on its promise or simply introduces new complexity. Limgenco and Tucker are candid about where the industry is getting this right and where the work remains. Stream the latest episode of the Good Clinical Podcast here: https://lnkd.in/eKqRSf9f
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