Rad AI’s Post

According to a recent survey of 2800 #healthcare executives, 43% use #AI in decision support for in-hospital patient monitoring. 33%+ also use it for #medication management, treatment planning, preventive care, #radiology, #pathology, and #remotemonitoring https://ow.ly/QLc550SqweZ

🚀 Exciting News in Radiology AI! 🚀 Annalise.ai, a Microsoft for Startups company, has secured a significant milestone by achieving a separate, additional #Medicare hospital payment for its #AI #triage solution. Their technology swiftly identifies obstructive hydrocephalus in noncontrast #CTscans, a life-threatening condition that requires urgent attention. With 97.5% sensitivity and 95.3% specificity, Annalise Critical Care AI enables prompt and accurate diagnoses. This achievement not only underscores the clinical capabilities of Annalise.ai, but also paves the way for broader adoption across hospital systems. Kudos to Dimitry Tran, Randee Stapleton and the rest of the Annalise.ai team for their dedication to improving healthcare through innovative technology! Sinéad Fitzgerald Bethany Cordes Dr Simon Kos #Radiology #AI #HealthcareInnovation #Medicare #AnnaliseAI #HealthcareOnLinkedIn #AIinHealthcare https://lnkd.in/eEignur3

In last week's episode, we discussed the transformative world of AI in medical imaging. Exploring how AI, particularly machine learning algorithms, is revolutionizing the field of radiology, pathology, and other imaging-intensive specialties. https://zurl.co/xZBh #HIPAA #PHI

🚀 Unpacking the Biden Administration's AI Executive Order: Insights for Radiology 🚀 In their detailed analysis, Drs. Vrushab Gowda, MD, JD, Dr. Keith J. Dreyer, and Bernardo Bizzo provide a nuanced look at how the recent executive order on AI will impact radiology. Their findings highlight: ➡ A new "security by design" mandate requiring AI tools in healthcare to adhere to high safety and equity standards. ➡ Increased federal scrutiny on AI tools, especially those used in patient care. ➡ A significant push towards interagency coordination to streamline AI regulations and support innovation. Radiology professionals: it's time to gear up for these regulatory changes and contribute to shaping future policies. Dive into the full discussion here: https://lnkd.in/gr9BkgHT #AI #Radiology #HealthTech HOPPR #GenAI Marty Stempniak Radiology Business Woojin Kim

Exciting first step towards improving #EHRusability and reducing #burnout for physicians through #AI. Look forward to the feedback from the MGMA session. Dr. Robert (Bob) Murry, PhD, MD, FAAFP and Kristi Bolinger are the best at sharing the impact stories. #betteroutcomesforall

Radiology reporting in general is an important and growing area for AI in healthcare due to its growing efficiency. This efficiency in detecting errors may hint at a future where AI can help optimize the workflow within radiology departments, ensuring that reports are both accurate and promptly available, thus enhancing the radiology department’s capacity to deliver timely and reliable diagnostics,” Physicians assessed in the study included two senior radiologists, two attendings and two residents. One of the experienced readers was able to outperform GPT-4, scoring a detection rate of nearly 95%. However, the LLM also required less processing time per report when compared to the fastest human radiologist in the study (at an average reading time of about 3.5 seconds vs. 25 seconds). The use of GPT-4 also resulted in a lower average correction cost per report than the most cost-efficient radiologist (at about $0.03 vs. $0.42). “Ultimately, this research provides a concrete example of how AI, specifically through applications like GPT-4, can revolutionize healthcare by boosting efficiency, minimizing errors and ensuring broader access to reliable, affordable diagnostic services—fundamental steps toward improving patient care outcomes,” #TriScan #Digitaldentistry #RGEMBA #DigitalDentistrySeries #3DVision #AI #RGAI #AIinHealthcare #TheSocialEntreprenuer

AI is transforming patient care in healthcare, revolutionising diagnosis, treatment personalisation, and predictive analytics to enhance outcomes. Accurate capture of cardiovascular data ensures seamless communication, reducing gaps in follow-up. Stay tuned for exciting updates from Change Healthcare in the upcoming weeks! #AI #cardiology #innovation #healthcare #efficiency

In last week's episode, we discussed the transformative world of AI in medical imaging. Exploring how AI, particularly machine learning algorithms, is revolutionizing the field of radiology, pathology, and other imaging-intensive specialties. https://zurl.co/xZBh #HIPAA #PHI

Optimize your #radiology department workflows with #AI AI tools can boost human efficiency to provide better patient care.

Healthcare systems are facing a tidal wave of issues including; ED overcrowding, overuse of ‘STAT’, high burnout levels of healthcare specialists and fewer doctors opting to pursue radiology specialisation 🚨🚑 Annalise Triage is a comprehensive AI solution that prioritises time-sensitive cases by improving report turnaround times, and time-to-care for high priority head and chest findings without impacting the clinical workflow 🔎 Learn more how Annalise.ai is providing consistent and reliable prioritisation and quality triage for the U.S. healthcare system: https://lnkd.in/gBkjgp3w