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Clinician-in-the-Loop ML is coming to AMIA 2024! I'm thrilled to announce that our work, titled "Beyond off-the-shelf Machine Learning: case for clinician-in-the-loop", has been accepted as a poster presentation at the AMIA (American Medical Informatics Association) Informatics Summit in Boston next March! Together with my dear colleague Pietro Arina, MD, PhD(c), we are exploring the exciting potential of collaborative efforts between clinicians and data scientists, moving beyond the limitations of "low-code" or "no-code" solutions for AI implementation. We believe that true innovation in healthcare AI lies in leveraging the combined expertise of both clinical and technical minds. By actively involving clinicians throughout the ML modeling process, we can ensure that the resulting algorithms are not only accurate and efficient, but also deeply attuned to the nuances of real-world clinical practice. I'm incredibly excited to share our findings with the AMIA community and engage in discussions about the future of clinician-driven AI development. If you're passionate about using technology to improve patient care, then come meet us in Boston! See you there! #AMIA2024 #ClinicianInTheLoop #AIinHealthcare #MachineLearning #Collaboration #HealthcareInnovation #Boston #DataScience #MedTech

Great news to share from nference!

Output quality is one of the most important factors in evaluating AI tools for key workflows in the life science regulatory space. AI has the potential to dramatically speed up workflows in trial design, regulatory writing, and clinical operations, but the biggest question stakeholders ask about today is the quality of AI generated outputs. If you’re curious about the quality of AI generated outputs for your regulatory submissions, check out our new site (www.artosai.com) to try a demo or reach out to me if you'd like to learn more about how our platform works.

#Pathology is entering another transformative phase. The introduction of #DigitalPathology will be the foundation for #ComputationalPathology (CPATH), the big-data approach to pathology that extracts information from images, typically using #AI methods. https://lnkd.in/dw_TcD8p 📌 While CPATH offers significant new capabilities and workflows, it also brings new challenges. Despite the sheer volume of engineering and scientific works being introduced for cancer image analysis, there is still a considerable gap of adopting and integrating these AI algorithms in clinical practice. 📌 At Tiger Health Technology, we have a strong commitment to the digital transformation of pathology, speeding up cloud and AI adoption. The use cases covered by our data lifecycle management platform ‘Health BRIDGE’ include: (1) archiving and sharing, (2) multi-site synchronization for a multi-disciplinary approach, and (3) access to cloud AI applications for clinical decision support. Want to learn more? 👉 https://lnkd.in/dC_MdXMi

🚀 Our co-founders, Martin Willemink, MD PhD FSCCT and Jie Wu, PhD, recently delivered an impactful presentation titled "Segmed Insight: Real-World Imaging Data for R&D" at the esteemed European Congress on Radiology (ECR) in Vienna, Austria. It was a privilege to introduce Segmed's groundbreaking solutions to such a distinguished audience. 🤖 If you missed the chance to attend ECR, don't worry! We've got you covered. The recording of our insightful presentation is now available online for you to watch at your convenience. Click at https://hubs.ly/Q02rYj8N0 to watch it in our resource hub. Key highlights shared during the presentation included: 💡Real-World Imaging Data for R&D: Segmed facilitates access to real-world imaging data for research and development, bridging the gap between healthcare providers and AI innovators. 💡Streamlined Data Preparation: Segmed's platform accelerates data preparation for AI development, transforming an 18-month process into a matter of days through data de-identification, standardization, and an intuitive cohort builder. 💡Advanced Features and Robust Security: Segmed offers a comprehensive suite of features, including access to millions of reports, advanced search capabilities leveraging NLP methods and ontologies, and industry-leading security certifications such as ISO 27001 and SOC2, ensuring utmost data privacy and integrity for clients and healthcare providers alike. #ECR2024 #ArtificialIntelligence #ImagingData #Research

Check out the panel from #BIOontheBAYOU on #AI in Healthcare! It's a really important subject as AI is becoming more and more prevalent, and it's essential that we recognize the benefits and potential downfalls associated with machine learning. The video was edited by me and filmed by Bernel Davis. Check out The Alliance for Artificial Intelligence in Healthcare (AAIH) to learn more.

Here’s a latest developments in clinical research: "Advancements in Clinical Research” The clinical research landscape is evolving rapidly! From the rise of precision medicine to the adoption of AI and machine learning, the industry is transforming. - AI-designed trials for greater success rates - Real-World Data (RWD) guidance from regulators - Causal machine learning for accurate insights - Data privacy technology for secure research - Precision medicine for targeted efficacy - Operational excellence through AI adoption - Increased funding for AI-enabled drug discovery Stay ahead of the curve and let's shape the future of clinical research together! #clinicalresearch #precisionmedicine #AIinresearch #dataprivacy #machinelearning #researchinnovation"

📢 We are pleased to welcome our newest network corporate partner, Enlitic!  Enlitic is a leading AI company serving the healthcare industry! Enlitic's mission is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity, improve clinical workflows, and create a foundation for a real-world evidence medical image database for healthcare providers. The Enlitic Framework standardizes, protects, integrates, and analyzes data to create the medical imaging layer of a real-world evidence database that improves clinical workflows, increases efficiencies, and expands capacity. Enlitic is focused on developing tools that solve the longstanding challenges in radiology. As technology rapidly evolves in healthcare, bringing industry and higher education together to educate the future has never been more important! The Enlitic team is excited to work with the leadership and faculty of our leading higher education partnership network and we look forward to creating great collaborations between the two! Welcome Enlitic!  #Enlitic #AI #AIinHealthcare #HigherEducation #HealthcareReimagined #ProfessionalEducation #BetheChange  #MODRNio #BringingIndustryandHigherEdTogether