Harrison.ai’s Post

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

Healthcare systems are grappling with numerous challenges such as emergency department overcrowding, excessive use of 'STAT', high burnout rates among healthcare professionals, and a declining number of doctors choosing radiology specialization. Annalise Triage offers a comprehensive AI solution that prioritizes time-sensitive cases, enhancing report turnaround times and time-to-care for critical head and chest findings without disrupting the clinical workflow. Discover how Annalise.ai delivers consistent and reliable prioritization and quality triage for the U.S. healthcare system: https://lnkd.in/gBkjgp3w

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

In my latest blog, we explore how 𝗔𝗜 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 can revolutionize cardiology by transforming clinical guidelines into real-time, personalized decision aids for clinicians. In collaboration with my friend, Dr. Kaustubh Dabhadkar, a practicing cardiologist, we’ve developed an AI agent using #AzureAISearch, #AzureOpenAI, LlamaIndex and crewAI to help healthcare providers navigate complex guidelines from the American College of Cardiology.   👉 Learn how to:  1️⃣ 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝗔𝗜 𝗶𝗻𝘁𝗼 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: Optimize decision-making with AI-enriched, real-time access to medical guidelines. 2️⃣ 𝗕𝗼𝗼𝘀𝘁 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Minimize manual tasks and research by automating patient-specific recommendations. 3️⃣ 𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗖𝗮𝗿𝗲: Leverage personalized, data-driven insights to improve health outcomes and treatment accuracy.   🔗 Read the full blog: https://lnkd.in/e4emSKwB #AzureAISearch #AzureOpenAI #LlamaParse #LlamaIndex #CrewAI #Agent #HealthcareAI #GenAI

🚀 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

How to find patients for an incidental lung nodule program? Use the data that is available to you and get creative. Here are some other ideas: ➡️Utilize Electronic Health Records (EHR) ➡️Collaborate with Radiology ➡️Engage primary care physicians ➡️Patient outreach ➡️Community awareness ➡️Connecting with screening programs ➡️Billing and Coding By working closely with these teams and departments, you can gather comprehensive data on patients with lung nodules, ensuring effective management and follow-up care.

Digging in more to the specific verticals of telemedicine that have grown and retracted since 2022. Below is the number of clinicians employed by telemedicine companies in each vertical by year. The winners are: 1. Mental Health +63% 2. Radiology +7% The other verticals have retracted clinician employment some or a lot.

🚀 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

Must read for radiologists and the AI tools community! In case, the open source tools might not adapt at the speed of light, Labellerr team can We would love to partner with the medical fraternity like we have been doing till now and delivered value to companies in healthcare. #radiology #dataannotation #medicalimaging #deeplearning #generativeai

"The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care. AI models can use electronic health record (EHR) data to spot early signs of infection, for example, or identify patients who may benefit from at-home cardiac monitoring. But this is just the beginning when it comes to using AI and machine learning (ML) to improve patient care, according to a new scientific statement from the American Heart Association (AHA).[1] Published in Circulation, the paper examines both the progress made and the untapped potential of these technologies." American Heart Association MedTech Innovator Heart Rhythm Society #epeeps American College of Cardiology LSI MedTech Startup #artificialintelligenceinhealthcare #articialintelligence