AI2MED’s Post

💡 Great news from @AI2MED! Discover the insights of the two key research ⤵️

🎉 Exciting News: I’ve Graduated! 🎓 I’m thrilled to announce that I’ve completed my xAIM Online Master Program (eXplainable Artificial Intelligence in healthcare Management) from Università di Pavia! 🚀 This program has been an incredible journey into the world of AI, focusing on creating transparent and trustworthy AI solutions for the healthcare industry. The program featured standout courses like Z-Inspection ®: A Process to assess trustworthy AI in Practice, where I gained hands-on experience in assessing AI models for fairness, transparency, and ethical impact, essential aspects for safe AI deployment in healthcare. Trustworthy AI and Advanced AI Assessment courses deepened my understanding of building reliable AI systems and evaluating their performance in high-stakes medical applications. These courses were instrumental in equipping me with the necessary skills to implement and assess explainable, robust AI solutions in healthcare. I am extremely grateful to Professor Valentina Beretta and Professor Chiara Demartini for their unwavering support throughout the program, with Professor Chiara Demartini also serving as my thesis supervisor🙏. I also want to extend my heartfelt thanks to Junaid Kalia MD, whose valuable feedback played a key role in shaping my thesis. I highly recommend this program to professionals in both AI and healthcare. It’s a fantastic opportunity to bridge disciplines and leverage AI for meaningful impact in healthcare settings. Looking forward to collaborating and driving innovation in healthcare 💡💬! And a PhD Position as well 😁! #AIinHealthcare #ExplainableAI #HealthcareInnovation #LifelongLearning #xAIM

Learn how to harness the data in your healthcare organisation to improve operational efficiency, enhance patient outcomes, and deliver a better service for your partners and your community. Introducing the AI for Health Professionals series, a new education opportunity sponsored by the VMH and delivered by the University of Melbourne. Designed and delivered by experts in artificial intelligence for healthcare, this four-course series provides a complete learner’s journey for health professionals helping them safely, effectively, and ethically use AI in their own organisations. Across four six-week courses, you'll go from a broad overview of the fundamentals of AI in healthcare to analysing your own data with existing tools, before designing, building, and deploying your own custom solution. Our first module – Foundations of AI in Healthcare – introduces you to a future-ready machine-learning toolkit, highlighting the potential of this technology and exploring the ethical, privacy, and regulatory factors that need to be considered. 42 RANZCR CPD hours or 42 ACEM CPD hours can be claimed for completing Foundations of AI in Healthcare in 2025. Tuition starts March 24th – learn more and register at the link below. https://lnkd.in/g2bHz5hY

How AI Is Driving New Medical Frontier for Physician Training  By Tanya Albert Henry, Contributing News Writer In this transformative era, medical students at Duke University School of Medicine are immersing themselves in cutting-edge AI projects. These projects harness data science and machine learning to revolutionize clinical care. Let’s explore how this article aligns with key themes: AI Proficiency: These students are at the forefront of AI integration. By engaging with data-driven innovations, they’re preparing to enhance patient care using technology. 🤖🌟 5.0 Leadership: Duke’s program cultivates future leaders. It encourages thinking beyond traditional boundaries, bridging clinical expertise with data science. These students will shape healthcare’s AI-driven landscape. 🚀👩⚕️ Detailed Strategies: Their work isn’t theoretical—it’s practical. From predicting sepsis to exploring surgical innovations, they’re applying AI strategically. Precision matters and empathy underpins their approach. 📈❤️ “As we delve into AI’s potential, let’s remember that compassion and innovation go hand in hand. Just as these students explore data points, we, too, can blend empathy and technology for remarkable outcomes.” 🌾 Your Turn!  How do you envision AI transforming your field? How can we infuse empathy into AI-driven solutions? Share your insights! 🌟🤗 #AIInHealthcare #FutureLeadership #EmpathyDrivenInnovation #UKAIWWL Read Here:

🌟 We had exciting AI hands-on course for medical students today! 🌟 These skills will prepare medical students to lead in the AI-driven health tech landscape. 👉 join my email-list for insights 🔗 https://lnkd.in/e_CeKTGM AI in Healthcare and Research -course This course is designed for professionals aiming to leverage AI to transform healthcare delivery, research, and management. Here's what we did, hands-on experience: 1️⃣ Research Database Integration How to combine Zotero and Obsidian to manage and synthesize knowledge effectively. How to organize academic resources and personal notes in one streamlined workflow. Research Rabbit as personal research assistant. 2️⃣ Embedding Models into Vector Databases Explored embedding models and their applications. Created dense vector databases for advanced data analysis and retrieval. 3️⃣ Retrieval-Augmented Generation RAG technique to enhance decision-making processes by retrieving information from a vast database directly into the generative model workflow. 4️⃣ Builded Custom AI Assistants Designed AI assistants tailored to specific tasks in healthcare, enhancing efficiency and personalizing patient care. 5️⃣ Advanced Prompt Engineering Fine-tune AI responses, creating more accurate, relevant, and context-aware interactions in medical settings. #AIinHealthcare #HealthTech #ArtificialIntelligence #MedicalResearch #ProfessionalDevelopment

🔍🤖💡 Join us for an enlightening journey from AI to Advocacy with Dr. Suresh K. Bhavnani, Professor of Biomedical Informatics, University of Texas Medical Branch; University of Texas, Health Science Center in Houston The Tecnológico de Monterrey's Institute for the Future of Education invites you to dive into a keynote presentation by Dr. Suresh K. Bhavnani on “From Artificial Intelligence to Advocacy: My Educational Journey into Policy Translation”. Date & Time: April 26th at 12:00 pm MTY time Unlock the potential of AI in healthcare policy-making and explore how the AI-policy gap can be bridged for a significant impact on patient care. Dr. Bhavnani, an esteemed Professor of Biomedical Informatics, will share valuable insights into using interpretable AI to identify social determinants of health within the 'All of Us' dataset and its implications on healthcare policies in the US. Key Takeaways: Discover how interpretable AI methods can classify subtypes of social determinants of health. Gain insights from Dr. Bhavnani’s experience in translating AI research into actionable healthcare policies. Understand the AI method characteristics that facilitate effective policy translation. Learn about the next steps in Dr. Bhavnani's mission to merge the worlds of AI and policy-making. Dr. Bhavnani brings a wealth of knowledge, with a Ph.D. in Computational Design and Human-Computer Interaction from Carnegie Mellon University and numerous distinguished awards. His leadership at the DIVA Lab at UTMB has contributed to groundbreaking research supported by NIH, CDC, and PCORI. 🔗 Join the Zoom Meeting: https://lnkd.in/eRMu-3gT This session will be moderated by Dr. Rasikh Tariq, and is brought to you in collaboration with the Challenge-Based Research Project “Complex Thinking Education for All (CTE4A): A Digital Hub and School for Lifelong Learners”. Don’t miss this opportunity to bridge the gap between AI and policy-making for a better future in healthcare! #AI #HealthcarePolicy #BiomedicalInformatics #UTMB #VisualAnalytics #PolicyTranslation #PublicHealth #ArtificialIntelligence #EducationalJourney #TecdeMonterrey

Multi-Modal health data is cutting edge, approaching individual patient problems from different perspective. Research to demonstrate effectiveness is gaining traction and funding. #Healthcare #diagnosis #data

Last week, I had the great privilege of delivering the keynote speech at University of Illinois Chicago Computational Research Symposium. The talk, titled "Building AI Infrastructure and Training Resources for a Learning Health System," addressed the urgent need to develop a multidisciplinary workforce skilled in collaborative AI in healthcare. In this rapidly evolving field, it is crucial to foster synergy among diverse teams to leverage AI's full potential effectively. During my presentation, I shared our journey at Northwestern University - The Feinberg School of Medicine in creating a comprehensive suite of data tools, and educational resources aimed at equipping the next generation of professionals. Our initiatives include: - Unlocking structured information from clinical notes for interoperable and self-service access. - Crafting multi-modal AI/ML tools and tutorials to enhance capabilities in analyzing complex healthcare data. - Cultivating environments (e.g., AI4H clinic, Northwestern Medicine Healthcare AI forum) where clinicians and AI scientists can collaborate and innovate together. These efforts have not only led to dozens of highly cited publications but also supported successful acquisition and implementation of many federal grants. They've significantly empowered clinicians, scientists, and hospital administrators to integrate AI into their research and everyday practice, fostering closer collaborations and advancing our learning health system. For those interested in deeper insights, our latest findings are detailed in our newly published paper in the Learning Health System journal. This is a Herculean team effort from all the authors and just the beginning, and I am excited about the future of AI in healthcare. Let's continue to innovate and collaborate for a healthier tomorrow! No Paywall: https://lnkd.in/gFS2RDcs #AIinHealthcare #AIInfrastructure #AITrainingResources #HealthTech #Innovation #CollaborativeAI #LearningHealthSystem

Highly recommend reading the Northwestern paper: https://lnkd.in/gFS2RDcs. The figures below show how AI can be used to improve our healthcare by creating a multimodal health data infrastructure with collaborative partnership.

The medical laboratory is buzzing with innovation, but are we keeping pace? 🧪🤖 One major challenge I've encountered in medical laboratory science is keeping up with the rapid pace of technological advancements, particularly the integration of artificial intelligence (AI). Early in my career, I struggled with this, especially when it came to understanding the implications of AI algorithms on diagnostic accuracy and patient care. However, by educating myself on AI applications in the lab, participating in relevant training, and engaging in ethical discussions surrounding AI's role in healthcare, I've gained confidence in navigating this evolving landscape. Here’s a simple guide to help you do the same: 1. Start with the basics: Read introductory articles and resources on AI in healthcare and medical laboratory science. 2. Expand your knowledge: Seek out online courses or workshops that provide a foundational understanding of AI algorithms and their applications in diagnostics. 3. Stay connected: Attend conferences and webinars that focus on AI in healthcare to learn from experts and network with peers. 4. Think ethically: Engage in discussions about the ethical considerations surrounding AI in healthcare to ensure its responsible implementation and use. How are you approaching the integration of AI in your work as a medical laboratory scientist? Share your thoughts and experiences! #LinkedInGrowth #MedicalLaboratoryScience #LaboratoryMedicine #LabLife #AIinHealthcare #DigitalHealth #FutureofWork #CareerMomentumAssembly #OpenToConnect