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Top Aidoc News

AI Moments That Matter: Real Stories. Real Impact. - Healthcare AI | Aidoc Always-on AI
Artificial Intelligence · Maryland

AI Moments That Matter: Real Stories. Real Impact. - Healthcare AI | Aidoc Always-on AI

In every hospital, there are moments when a single decision changes everything. When time is limited, uncertainty is high and lives hang in the balance. Moments That Matter shares firsthand accounts from the front lines, where care teams and Aidoc’s AI platform worked together to identify critical conditions earlier, act faster and provide patients with a better chance. These are stories of rapid intervention, streamlined coordination and empowe…Read Article
Stutter Health to Embed Aidoc’s AI Operating System to Accelerate Care
Artificial Intelligence · Maryland

Stutter Health to Embed Aidoc’s AI Operating System to Accelerate Care

What You Should Know: – Sutter Health, a leading, not-for-profit, integrated health system serving more than 3.5 million Californians, today announced a strategic partnership with Aidoc, a pioneer in enterprise clinical AI. – The collaboration will embed Aidoc’s real-time AI operating system (aiOS) across Sutter’s comprehensive care system to provide Sutter patients with earlier identification of critical findings, faster intervention and better…See the Story
Inside the CHAI Leadership Summit: What’s Next for Responsible AI in Healthcare - Healthcare AI | Aidoc Always-on AI
Healthcare · United States

Inside the CHAI Leadership Summit: What’s Next for Responsible AI in Healthcare - Healthcare AI | Aidoc Always-on AI

On June 5, leaders from across healthcare, academia and tech gathered for the Coalition for Health AI (CHAI) Leadership Summit to tackle one of the most pressing challenges in healthcare today: how to move from promising AI prototypes to safe, scalable systems that improve care. As AI tools become more powerful and more present, training the workforce to understand, trust and use them effectively is essential. Without that foundation, adoption s…See the Story

How Aidoc's New Automated Dynamic Risk Stratification Feature Benefits PERTs - Healthcare AI | Aidoc Always-on AI

Pulmonary embolism response teams (PERTs) must move quickly. The faster they’re able to make informed treatment decisions and begin care, the more likely they are to help make a life-altering difference for the patient. Now, our solution will help PERTs move even faster, thanks to a new feature: Automated Dynamic Risk Stratification. How it Works Aidoc’s  aiOS™ sends automatic, AI-powered notifications to PERTs via mobile app when it flags a pat…Artificial Intelligence · Los AngelesRead Article

What’s Missing from the AI Conversation? A Blueprint. - Healthcare AI | Aidoc Always-on AI

We’ve all been at the same conferences. We’ve all heard the same pitch: This AI will transform! This AI will revolutionize! This AI will change everything! Maybe some of it will, but as I walk tradeshow floor after tradeshow floor, I can’t help but notice something else quieter, but far more telling. Everyone’s talking about AI. Almost no one is talking about what it takes to actually make it work. Not in pilots, not in press releases, but in re…Artificial IntelligenceRead Article

What Real AI Adoption Looks Like Inside Two Health Systems - Healthcare AI | Aidoc Always-on AI

In a recent webinar, Avi Sharma, MD, CIIP,  Jefferson Health, and Leonardo Kayat Bittencourt, MD, PhD, University Hospitals, shared what AI implementation actually looks like in practice, including the decisions and lessons that don’t usually make it into case studies or news releases. Moderated by Tom Valent, Aidoc’s Chief Business Officer, the conversation explored the realities of deploying AI across complex health systems — from cross-specia…Artificial Intelligence · MarylandRead Article

Real World Clinical Performance of Aidoc’s Vessel Occlusion Algorithm vs. Conventional AI - Healthcare AI | Aidoc Always-on AI

AI is increasingly being used to assist in prioritizing suspected stroke cases, but not all AI solutions are created equal. While the overarching clinical goals may be similar, significant variability exists in how these technologies perform.  These performance differences directly impact crucial factors such as algorithm accuracy, user experience , patient outcomes and return on investment (ROI). Understanding the distinctions between AI soluti…Artificial Intelligence · SummitRead Article

RÖKO 2025: AI in Action Across Germany - Healthcare AI | Aidoc Always-on AI

The 106th German Radiology Congress (RÖKO), held from 28–30 May 2025 in Wiesbaden, brought together radiologists and imaging professionals from Germany, Austria and beyond to explore the latest advancements in diagnostic imaging, digital transformation and, most notably, AI.  With imaging teams under mounting pressure, RÖKO 2025 offered a timely platform for healthcare institutions to share how they’re leveraging AI to enhance patient care and s…Artificial Intelligence · WiesbadenRead Article

11 Things a Clinical AI Platform Must Deliver - Healthcare AI | Aidoc Always-on AI

If you're evaluating AI for your health system, this checklist will help you separate what’s real from what’s hype.Artificial IntelligenceRead Article

Radiologists are using AI productivity tools — and it could improve patient communication

100% Left coverage: 1 sources
Generative AI can help radiologists take notes, draft reports, and streamline patient communication.Getty Images; Alyssa Powell/BIGenerative AI is being integrated into radiology to assist with non-clinical tasks, even while clinical applications grow.Radiology's AI adoption contrasts with past predictions of AI replacing radiologists.This article is part of "How AI Is Changing Everything," a series on AI adoption across industries.Generative AI…Artificial Intelligence · StanfordSee the Story

Why We Stopped Building Only Algorithms and Started Building Infrastructure - Healthcare AI | Aidoc Always-on AI

Aidoc didn’t start as a platform company. Like many others in the clinical AI industry, we started by building a best-in-class triage tool for radiologists. But very early on, we realized something critical: one algorithm, no matter how good, wasn’t enough to drive meaningful change. The truth is healthcare doesn’t run on isolated moments — it runs on patterns, workflows and systems. If we wanted AI to be used, it couldn’t just be good. It had t…Artificial Intelligence · IsraelRead Article

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