Swan AI Studios’ Post

In this Project project I focused on developing an EHR-based invasive mechanical ventilation predictor! This clinical decision support tool leverages advanced machine learning techniques to analyze patient data and predict the risk of requiring invasive ventilation within 48 hours. By providing timely insights, we aim to enhance patient outcomes, improve resource allocation, and support healthcare providers in making informed decisions during critical care. I'm looking forward to continuing to explore innovations that drive better healthcare outcomes! #Healthcare #MachineLearning #AI #DataScience #PredictiveAnalytics #ClinicalDecisionSupport #COVID19

Exciting news! My latest video on YouTube, "Zero to Hero with Jeeva", explores the transformative impact of data science and AI on healthcare and hospitals. Full Video Link 🔗 https://lnkd.in/ghFx3g_7 In this video, I delve into the benefits of data science in healthcare, including: Improved patient outcomes Enhanced operational efficiency Optimized resource allocation Data-driven decision making From predictive analytics to personalized medicine, data science is revolutionizing healthcare. Watch the video to learn how hospitals can harness the power of data science to improve patient care and drive innovation. #datascience #healthcare #AI #hospitals #patientcare #innovation #ZeroToHeroWithJeeva

🏥 𝑨𝑰 𝒊𝒏 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆: The Potential is Huge BUT We Need to Get the Basics Right In the recent npj | digital medicine editorial, the message is powerful: 🔹 Boussina et al. have made groundbreaking strides in leveraging artificial intelligence to reduce in-hospital sepsis mortality. 🔹 As a Healthcare and AI community, we need to consistently ensure that the fundamentals are in place: 🎯 WHY: Revolutionize patient care. 🔍 WHAT: Improve clinically relevant outcomes. 💡 HOW: By applying AI algorithms in clinical settings. 🏥 WHERE: Within a clinical setting ecosystem ensuring mainly appropriate data infrastructure and high interoperability standards. ⏰ WHEN: Now, continuously adapting the algorithms to the dynamic healthcare landscape. Does this call for action resonate with you? What are the barriers in moving the needle and upscale? Read the full editorial here: Integrating artificial intelligence into healthcare systems: more than just the algorithm | npj Digital Medicine (nature.com) #HealthcareInnovation #AIinHealthcare #PatientOutcomes #SepsisPrediction #ClinicalAI #DigitalMedicine

In our latest interview, John McFarland, Head of our US Healthcare Practice, delves into the realm of AI operational governance with Dr. Deepti Pandita, Chief Medical Informatics Officer at UCI Health. As the healthcare industry moves beyond the generative AI hype of 2023, the focus shifts towards the practical application of AI technologies. Dr. Pandita shares insights on the emerging use cases of AI across clinical and administrative domains and outlines the critical steps healthcare organizations must consider, from defining clear objectives to maintaining regulatory compliance. Watch the full interview to learn more about the thoughtful integration of AI in healthcare and the strategies to ensure its successful adoption and impact: https://lnkd.in/eZm6U7CF Read full interview here: https://lnkd.in/etbgzGsK #AIinHealthcare #OperationalGovernance #HealthcareInnovation #UCIrvineHealth #OdgersBerndtson

Thanks Dr. Pandita for sharing your great insights, perspectives and experiences around generative AI and the operational governance imperative to effectively evolve emerging technologies, tools and solutions in an organization!

John Snow Labs is transforming how we create patient cohorts using generative AI. By leveraging multimodal clinical data, their innovative solutions allow healthcare professionals to segment high-risk patients and provide precise, personalized care. With the ability to answer natural language questions and explain answers with cited sources, this tool is a game-changer for population health management. Learn more about how this cutting-edge technology can enhance patient outcomes! Learn More: https://lnkd.in/dWWZeBGj #HealthcareInnovation #PatientCohorts #GenerativeAI #ClinicalData #PersonalizedCare #HealthTech #PopulationHealth #JohnSnowLabs #AIinHealthcare #MedicalAI #HealthData #PatientOutcomes #HealthcareTech

Our latest white paper is now available to download! Explore insights on leveraging disease, real-world and population-level data to train AI models effectively. In an era where AI is reshaping healthcare, access to robust datasets is pivotal. This comprehensive guide delves into methodologies and best practices for utilizing diverse data sources, driving innovation in diagnosis, treatment and patient care. Empower your team with the knowledge to unlock insights from complex datasets. Download the white paper now to stay ahead in AI-driven healthcare: https://bit.ly/3Rd2UC1 #HealthcareAI #DataScience #HealthTech #ArtificialIntelligence #MedicalResearch #HealthData #Lifebit

💡Online Now! We’ve just published a groundbreaking study that explores how AI can revolutionize healthcare. 🌐💡 🔬 Key Highlights: Nonalcoholic Steatohepatitis (NASH) is increasingly common but often undiagnosed. Our team, led by Professor Onur Baser, applied a machine learning algorithm to a massive dataset of 25 million veterans' health records. 🎯 Why It Matters: Early detection is critical for timely intervention and improved patient outcomes. This AI model provides a new path forward in identifying and treating NASH, potentially serving as a first-line screening tool in clinical settings. Check out the full article to learn how our innovative solutions are pushing the boundaries of healthcare technology! https://lnkd.in/geuJ-w2R 💻✨ #AI #Healthcare #NASH #MachineLearning #DataScience #Innovation #HEOR #RealWorldEvidence #OutcomesResearch #ArtificialIntelligence Let’s continue transforming data into actionable insights! 📈

Healthcare Site Selection in NYC using AI: Key Insights 🏥 Choosing the right location for healthcare facilities is critical. Here's what you need to know: 📌 Healthcare Establishment Distribution: New York City is home to over 12,999 healthcare facilities, from hospitals to neighborhood clinics. 📌 Competition Insights: Leverage insights to assess areas with fewer healthcare establishments and maximize patient reach. To find out the population of healthcare establishments in a particular area, draw a polygon on the map and ask questions like: ”How many hospitals and clinics are in this area?” Discover how Polygon AI can help you make data-driven decisions for smarter healthcare site selection in NYC. Source: xMap USA Healthcare Dataset Visit polygon.xmap.ai 👉 Follow @xMap for more insights on generative AI and data. . . #HealthcareSiteSelection #GenerativeAI #BusinessGrowth #PolygonAI #DataDriven

With over 12,999 healthcare establishments across NYC, the competition is fierce—but there's opportunity where data guides the way. Polygon AI allows you to easily visualize healthcare distribution—just draw a polygon on the map and ask: “How many hospitals and clinics are in this area?” Data-driven decisions are the key to building smarter healthcare infrastructure in NYC. Let Polygon AI guide your next move. Explore more at polygon.xmap.ai. #HealthcareSiteSelection #GenerativeAI #PolygonAI #DataDriven #BusinessGrowth #NYCHealthcare