Mariana Figueiredo Salvaterra’s Post

In healthcare, technology adoption varies widely, creating a mix of advanced AI tools and legacy systems. This blog post reveals the mixed optimism within the industry - where GenAI, though in early research stages, sparks curiosity, and practical AI applications are just beginning to show impact. Explore the article to understand how the healthcare industry views AI, balancing potential with pragmatism.

In healthcare, technology adoption varies widely, creating a mix of advanced AI tools and legacy systems. This blog post reveals the mixed optimism within the industry - where GenAI, though in early research stages, sparks curiosity, and practical AI applications are just beginning to show impact. Explore the article to understand how the healthcare industry views AI, balancing potential with pragmatism.

In healthcare, technology adoption varies widely, creating a mix of advanced AI tools and legacy systems. This blog post reveals the mixed optimism within the industry - where GenAI, though in early research stages, sparks curiosity, and practical AI applications are just beginning to show impact. Explore the article to understand how the healthcare industry views AI, balancing potential with pragmatism.

While AI brings promising solutions, it also presents significant challenges, especially in healthcare. Ethical concerns, algorithmic biases, and complex integrations are just a few hurdles in healthcare’s path toward effective AI use. This blog post advises starting small, with focused use cases to build on tested success. Read the blog for insights on overcoming the barriers to AI in healthcare.

💡 Embracing the future of AI in healthcare! Despite challenges, budgets and adoption rates are skyrocketing. Check out the latest trends from the 2024 Generative AI in Healthcare Survey. (John Snow Labs) https://lnkd.in/gkcFNSzY 🏥💻 🔍Repost Key Takeaways: 1️⃣ Budget Booms: GenAI investments are growing, especially among technical leaders. 💸 2️⃣ Custom Models: Healthcare-specific language models are preferred. 📈 3️⃣ Diverse Applications: From patient Q&A to medical chatbots, GenAI is reshaping healthcare. 🤖 4️⃣ Human Touch: Human oversight remains crucial to ensure accuracy and ethics. 🧑⚕️ As we navigate these innovations, remember that collaboration and tailored strategies are key to success. 🚀 #HealthcareAI #GenerativeAI #Innovation #PatientCare, Data Ideology, LLC

AI will not replace doctors, but empower them to make better decisions - The challenge is the lack of transparency and explainability in AI-driven healthcare decision-making - Healthcare professionals and patients are hesitant to trust "black box" AI algorithms - Prioritizing the development of interpretable AI models is necessary - These models will provide clear insights into their decision-making processes - Enabling informed, data-driven decisions with confidence will unlock AI's full potential in healthcare - Explainable AI in healthcare will drive improved patient outcomes, enhanced clinical efficiency, and reduced costs - Maintaining trust and confidence of all stakeholders is crucial - The future of AI in healthcare is bright, but only if transparency and explainability are prioritized #AI #Healthcare #AIinHealthcare #ExplainableAI #MedicalAI @Thomas Aurelio Davis

Transforming Healthcare Decision-Making: Introducing #NEAR – Neural Imputed Explainable and Adaptive Risk. In today’s rapidly evolving healthcare landscape, innovation is key to enhancing patient care. NEAR stands at the forefront of this transformation, introducing an advanced AI-based methodology that brings explainability and precision to clinical decision-making. 🌟 At the heart of #NEAR is the Shapley Additive Explanations framework (SHAP), a groundbreaking tool that demystifies #AI algorithms. By breaking down complex models, SHAP reveals the influence of each input feature, making AI decisions transparent and trustworthy. 🧠 This revolutionary approach simplifies prediction models without sacrificing #accuracy, paving the way for more understandable and interpretable clinical support systems. 🚀 NEAR’s user-friendly, web-based platform further enhances its #accessibility, empowering healthcare professionals with intuitive tools for daily practice. 🌐 By bridging the gap between advanced AI and practical application, NEAR is setting new standards in #healthcare innovation. 🌍  Join us in embracing the future of medical decision-making with NEAR. Together, we can build a more transparent and #innovative healthcare system. Dive in the full article here: https://lnkd.in/d8ry8k8y #HealthcareInnovation #AIinHealthcare #ExplainableAI #PrecisionMedicine 

AI is growing across various key industries. In 2021 the AI healthcare market was worth an estimated US $11.06 Billion. As of 2024, this figure is almost double that (US $28.24 Billion). And in the space of a decade, AI healthcare is predicted to reach a valuation of over US $187 Billion - around 17 times that of 2021.

Curious to learn more about AI? The NHS Confederation has published a comprehensive guide, "AI in Healthcare: Navigating the Noise," designed to help you make sense of AI's impact on healthcare. This guide breaks down AI jargon and provides real-world examples of how AI is transforming the healthcare landscape—like reducing DNAs and enhancing wound care. These insights are crucial for improving patient outcomes and boosting operational efficiency. Explore the guide: https://lnkd.in/e733wzJ5 Ready to see what AI and RTLS can do for your organization? Reach out today to discover Navenio's transformative technology solutions. #HealthcareInnovation #AI #Healthcare

Digital healthcare access can be highly enhanced woth the help of gen AI. https://lnkd.in/duqzs-bq