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Cloud-based AI services could help fight health misinformation Key Takeaways of the article 1. Project Heal fights health misinfo with AI & tailored messaging. 2. Public Health Empowerment: Project Heal's ML & AWS approach. 3. Tackling Misinfo Costs: Project Heal unites universities & AWS read the complete article : https://lnkd.in/gFYvgHAW Follow us ClinDCast Follow our CEO Anita Nayak news source: Healthcare IT News #ai #artificialintelligence #cloud #healthcareai #healthcareinnovation #healthcareit #healthcaare #healthcarenews

Battling health misinformation: AWS, UC Davis, Pitt, and UIUC unveil Project Heal, an AI/ML toolkit empowering public health officials to detect emerging misinformation threats and generate tailored counter-messaging. This open-source solution aims to improve patient outcomes and address systemic inequities 🏥 exacerbated by rampant online misinformation. Read blog to learn more: https://go.aws/4d43Ce8 📖 #healthcare #generativeAI #HealthTech #AWSisHow #AI #MachineLearning

No matter how large or well-resourced a health system may be, making the right care decisions ultimately depends on its ability to exchange information with healthcare’s “digital have-nots." Find out more & learn why pragmatic tech for exchanging information with digital have-nots is crucial to #healthequity in this article by Bevey Miner of Consensus Cloud Solutions for Answers Media Network's Health IT Answers publication. #healthcare #healthtech #healthdata #datainteroperability #AI

The Healthcare IT News article explores how cloud-based AI services can be used to combat health misinformation. As misinformation spreads across the internet, especially regarding health-related topics, there's a growing need for effective tools to address this issue. The article discusses how AI technologies, deployed through cloud services, can be instrumental in identifying and curbing health misinformation. These AI systems can scan large volumes of online content, recognize patterns, and flag false or misleading information. By utilizing cloud-based infrastructure, these AI solutions can scale to meet the demands of monitoring vast amounts of data on the internet, including social media platforms, websites, and other digital content sources. The article highlights that AI can help identify common themes in health misinformation and rapidly detect new falsehoods as they emerge. This allows healthcare organizations, public health officials, and platforms to respond more swiftly to misinformation and provide accurate information to the public. https://lnkd.in/eTyH-Pwc #healthcare #healthcareinnovation #healthcareit #healthcareai #ai

Cloud-based AI services could help fight health misinformation - Healthcare IT news #CloudBasedAI: Cloud-based AI services have the potential to combat health misinformation by analyzing vast amounts of data and providing accurate information to users. #BenefitsOfAI: AI can help healthcare professionals and organizations identify false information, track trends in misinformation, and provide evidence-based resources to the public. #ChallengesToAddress: Despite the benefits of AI in fighting health misinformation, there are challenges such as ensuring data privacy, addressing bias in algorithms, and building trust with users. #FutureImplications: The use of cloud-based AI services in healthcare has the potential to revolutionize how misinformation is tackled, leading to more informed decision-making and improved public health outcomes. #Conclusion: Cloud-based AI services offer a promising solution to combat health ai.mediformatica.com #heal #health #misinformation #publichealth #healthcare #platform #news #about #cloud #healthcareit #learning #machinelearning #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4drTkVr)

Join us during Arab Health at the Conrad Dubai for a reception after our Transformation Talk, “Cloud Strategies in Healthcare: Applying Knowledge to Practice for Total Transformation.” Experts from Stanford Health Care, VP and Chief of Applications Gary Fritz and VP and CTO Christian Lindmark, CHCIO, CDH-E, CPHIMS, RCDD, and Amazon Web Services (AWS), Naqi Khan, MD, global physician lead for generative AI & machine learning, will be available to answer questions and talk more about how the cloud can help create a more effective healthcare ecosystem, the power of strategic partnerships, and other actionable insights from world-class organizations.   Register today. #HealthIT #DigitalHealth #Cloud #Healthcare #AI

Healthcare Innovation: Shaping the Future with Data. 🏥💻 The healthcare industry is undergoing a transformative shift, driven by the power of data and cutting-edge technologies. 🔍🔬 In this groundbreaking article, we explore how healthcare innovators are harnessing the potential of data to revolutionize patient care, improve outcomes, and shape the future of the industry. 💡 Key highlights: - Leveraging data analytics to uncover hidden insights and drive personalized treatment plans. 📊 - Adopting cloud-based solutions to securely manage and analyze vast amounts of healthcare data. 🌩️ - Integrating AI and machine learning to automate processes and enhance clinical decision-making. 🤖 Discover the innovative solutions that are redefining the healthcare landscape. 🏥🌐 Want to learn more about the latest trends and innovations shaping the future of healthcare? 👀 Reach out to me, and let's discuss how you can stay ahead of the curve. 💌 https://lnkd.in/ei3PgQwY #aws #amazon #ai #artificialintelligence #bigdata #ml #machinelearning #dataanalytics #datascience #genai #generativeai #llm #healthcare #hcls #health #medicine #lifesciences #publicsector

Persistent launches population health solution on Microsoft Azure OpenAI. #HealthcareTechSolutions 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Persistent Systems has launched a Generative AI-powered Population Health Management (PHM) Solution in collaboration with Microsoft. The solution identifies Social Determinants of Health (SDoH) to determine patients' non-clinical needs and predict the cost of care driven by clinical conditions. It leverages Microsoft Azure OpenAI Service and Dynamics 365 Customer Insights to extract and track crucial SDoH data from Electronic Health Records. The solution aims to improve patient outcomes, reduce care costs, and optimize operational efficiency. It is currently available on Azure Marketplace and is expected to significantly enhance patient experience and overall care quality. Hashtags: #chatGPT #PopulationHealthManagement #MicrosoftAzureAI

Google Cloud's Strategic Vision for Healthcare Technology in 2024: Leveraging AI, Navigating Competition, and Driving Transformative Impact 1. Google Cloud's Impact in Healthcare: - Google Cloud has made significant strides in healthcare, with noteworthy products like Vertex AI Search and MedLM, which have garnered attention for their potential applications in clinical settings and life sciences. - These innovations aim to empower organizations with the power of AI and improve efficiency in healthcare delivery and outcomes. 2. Strategic Vision for 2024: - Google Cloud has laid out a strategic vision for 2024, focused on short-term optimization, long-term transformation, and profound learning, aiming to alleviate administrative burdens, enhance clinical workflows, and drive a new understanding of health and healthcare. - The company aims to marry artificial intelligence with the complexities and nuances of care delivery and healthcare outcomes. 3. Competitive Landscape and Industry Outlook: - Google Cloud faces stiff competition from tech giants like Microsoft and Amazon, which are rapidly scaling up their offerings in the healthcare AI space. - The competition extends to hardware, with companies like NVIDIA, AMD, and Google investing in high computing power for complex healthcare platforms and services. 4. Challenges and Promises Ahead in 2024: - The year 2024 presents immense opportunities and challenges for Google Cloud's healthcare technology, with the company dedicated to bold and promising endeavors. - The competition landscape is fierce, requiring rigorous investment and innovation, yet the growth potential for healthcare AI technology is incredibly promising. - Google Cloud's strategic vision for healthcare in 2024 is ambitious and promising, with a focus on leveraging AI, navigating industry competition, and driving transformative impact in the healthcare landscape. - The company's dedication to research and investment demonstrates a commitment to shaping the future of healthcare technology.

📢 Google Cloud debuts new genAI advancements for healthcare in HIMSS24 Google Cloud recently announced the general availability of Vertex AI Search for Healthcare, now integrated with MedLM and Healthcare Data Engine (HDE). Read More here: https://bit.ly/3PuLQqe 📰 What’s new? ➡ Vertex AI Search for Healthcare will significantly improve how healthcare professionals and employees find critical information in health records and medical documents. ➡ The advancements will help healthcare and life sciences organizations enable interoperability, build a better business data foundation, and deploy generative AI tools to improve patient outcomes. ➡ App developers and data scientists can use those embeddings and ground truth labels to train a simple classification model in Vertex AI. ➡The second new capability is a task-specific API called Condition Summary that aims to provide a chronological list of patient conditions, along with AI-generated briefs about each condition, with citations from the original text. Sensiple is a trusted Google Cloud Partner, and we have been collaborating with our Global Customers to support their transformation journeys with an end-to-end Cloud Managed Services framework. Whether you want to iterate to achieve additional improvements or require a full transformation program, our certified Google Cloud experts can help. To know more about our GCP offerings, please reach out to us here: https://bit.ly/494Mq4T #GenerativeAI #GoogleAI #GoogleHealth #AIinHealthcare #GoogleCloudpartner #gcppartner