Deemea

[REPLAY] 🚀 What an incredible day at Future4Care‘s Demo Day on March 13, 2025! 🌟 The event exceeded expectations, showcasing 60 groundbreaking startups revolutionizing digital health with AI, data, and tech. ✨ We’re proud to be part of an ecosystem that fosters meaningful connections and drives innovation in healthcare. Deemea is committed to advancing clinical trials with imaging data and RWE, making a real impact on patient outcomes. 🙏🏼 A huge thanks to Future4Care for such a great event! 🙌 #Future4care #Deemea #clinicaltrials #clinicalresearch #RWE #medicalimaging #imagingdata #RWiD

[REPLAY] Looking Back at #JRC2025 Key Takeaways from Clinical Research Day from the AFCROs On March 11, 2025, Deemea had the pleasure of attending the 13th Clinical Research Day organized by AFCROs. 🔹France remains the European leader in clinical research, driven by strong academic activity, particularly in oncology and rare diseases. However, the AFCROs Barometer confirmed a continued decline in clinical research activity across Europe, while the Asia-Pacific and the U.S. gain momentum. To remain competitive, France could take inspiration from Spain’s success in streamlining industry-sponsored trials. 🔹Artificial intelligence was another key topic. While AI can optimize processes, accelerate data analysis, and support decision-making, experts emphasized that human expertise remains irreplaceable in clinical research ✨ a perspective we at Deemea fully embrace! Technology enhances expertise, not replaces it, and we’re excited to see innovation supporting the professionals who drive clinical research forward. 🔹Discussions also focused on innovative trial designs, such as external control arms and digital twins, as well as the ongoing challenge of improving study setup times and patient recruitment. 🙏🏼 A big thank you to AFCROs for organizing such a thought-provoking event! #JRC2025 #Deemea #clinicaltrials #clinicalresearch #RWE #medicalimaging #imagingdata #RWiD

💬 [YOUR OPINION] Medical imaging plays a crucial role in research and clinical studies, providing valuable data for analysis. However, ensuring the quality and proper labeling of imaging data can be a time-consuming process, impacting overall efficiency. 📊 Industry feedback shows that image verification and quality control can introduce significant delays in workflows, sometimes affecting study timelines. Identifying bottlenecks is key to improving processes. 🗳️ Vote below and let’s discuss! 👇

🔎 [LLM & Imaging] Exploring the impact of Large Language Models on radiological imaging 🔎 🤔 What are Large Language Models (LLMs)? LLMs are AI systems trained on vast text datasets, enabling them to understand and generate human-like language. They excel in text generation, translation, summarization, and answering complex queries. Recent advancements have led to combining LLMs with vision models resulting in multimodal AI - able to process both text and images. This breakthrough expands their applications across various fields, including radiology. 🔗 (Read more: https://lnkd.in/eJUgM9_k) 📚 How do LLMs integrate with radiological report ? LLMs can analyze and enhance radiology reports, reducing manual workload and improving consistency. They also help build medical data lakes from radiological data by: ✅ Converting natural language reports into structured data ✅ Standardizing medical terminology across different institutions ✅ Retrieving patient history among different reports These capabilities can improve data interoperability, making it easier for radiologists to access relevant patient information efficiently. 🩻 Application in radiological imaging With multimodal approaches, LLM can analyze medical images directly alongside corresponding reports. This multimodal AI allows medical images analysis, automatic report generation, detecting subtle patterns in imaging data, and improving communication with clear, concise reports. Into radiology IT systems, they could also facilitate patient triage, automating the imaging study and protocol determination based on radiology requests, helping prioritize imaging studies based on urgency and patient data, and identifying additional imaging needs based on prior reports, ensuring timely follow-ups. ⚖️ The challenges: trust & bias in AI-assisted radiology Despite the promise, integrating LLMs into radiology or medicine comes with risks: ❗ Hallucinations: LLMs are known to generate inaccurate or misleading findings ⚖️ Bias & Fairness: AI algorithms are often trained on biased datasets, leading to misinterpretation or bad results 🔐 Regulatory Hurdles: Ensuring AI meets healthcare compliance standards Building trustworthy AI requires rigorous validation, human oversight, and ethical safeguards. 🚀 The future of LLMs in radiology It's essential to validate LLM, generated content due to risks like inaccurate or fake information. More research, ethical guidelines and regulation are needed for responsible implementation. LLMs could evolve by integrating multimodal data, automating tasks and providing more precise insights, ultimately assisting radiologists in navigating complex clinical histories. 🙏 Théo Estienne #Deemea #clinicaltrials #clinicalresearch #medicalimaging #imagingdata #RWE #RWiD

[EVENT] Deemea at Future4Care Demo Day 💡 Did you know? Over 90% of clinical trials rely on medical imaging, yet much of this data remains unstructured and underutilized. How can AI-driven solutions make imaging data more valuable for clinical research, streamlining trials, refining endpoint assessment, and accelerating regulatory approval? Deemea will be at Future4Care Demo Day to showcase it! 📍 Future4care, Paris 🗓 March 13, 2025 #Deemea #Future4care #clinicaltrials #clinicalresearch #medicalimaging #imagingdata #RWE #RWiD

🫰 Data quality in clinical research: automated & visual control at your fingertips Ensuring high-quality imaging data is crucial for reliable clinical research. But manual verification could be slow, error-prone, and disrupts study workflows. 🔎 With Deemea, data quality is no longer a challenge! Our Quality Control Algorithms automatically detect inconsistencies, missing data, and image quality issues, ensuring your datasets meet the highest standards. ✅ Automated quality checks: Instantly flag inconsistencies & missing images ✅ Real-time validation: Catch errors before they impact your study ✅ Standardized quality criteria: Ensure compliance with clinical research protocols 💡 Automation is powerful, but human validation remains essential! On the Control page of Deemea, research teams can: - Visually inspect imaging data quality 👀 - Review flagged inconsistencies and missing data 📂 - Validate or adjust QC results in a few clicks ✅ 🚀 With Deemea, clinical teams save time, reduce errors, and gain full control over data quality. 🩻 Want to improve imaging data quality in your studies? 📩 Contact us at contact@deemea.com #Deemea #clinicaltrials #clinicalresearch #RWE #medicalimaging #imagingdata #RWiD

🫰 Data quality in clinical research: automated & visual control at your fingertips Ensuring high-quality imaging data is crucial for reliable clinical research. But manual verification could be slow, error-prone, and disrupts study workflows. 🔎 With Deemea, data quality is no longer a challenge! Our Quality Control Algorithms automatically detect inconsistencies, missing data, and image quality issues, ensuring your datasets meet the highest standards. ✅ Automated quality checks: Instantly flag inconsistencies & missing images ✅ Real-time validation: Catch errors before they impact your study ✅ Standardized quality criteria: Ensure compliance with clinical research protocols 💡 Automation is powerful, but human validation remains essential! On the Control page of Deemea, research teams can: - Visually inspect imaging data quality 👀 - Review flagged inconsistencies and missing data 📂 - Validate or adjust QC results in a few clicks  ✅ 🚀 With Deemea, clinical teams save time, reduce errors, and gain full control over data quality. 🩻 Want to improve imaging data quality in your studies? 📩 Contact us at contact@deemea.com #Deemea #clinicaltrials #clinicalresearch #RWE #medicalimaging #imagingdata #RWiD

🇬🇧 🚀 We are hiring an intern in design & development! 📢 Deemea is looking for a motivated student for a 4 to 6-month internship to design and develop an internal back-office. If you're passionate about full-stack development and want to contribute to an innovative digital health company, join us! 📄 The internship offer is written in French 👉 More info here: https://lnkd.in/ekN8T7DK 🇫🇷 🚀 Nous recrutons un.e stagiaire en conception et développement ! 📢 Deemea est à la recherche d’un.e étudiant.e motivé.e pour un stage de 4 à 6 mois afin de concevoir et développer un back-office interne. Vous êtes passionné.e par le développement full stack et souhaitez contribuer à une entreprise innovante dans le domaine de la santé digitale ? Rejoignez-nous ! 📄 L'offre de stage est rédigée en français 👉 Toutes les infos ici : https://lnkd.in/ekN8T7DK

[EVENT] We'll be at the 13th Clinical Research Day by AFCROs This year’s theme? "What Meaning to Give to Clinical Research?" A key question as the industry navigates regulatory shifts, new methodologies, and evolving data landscapes. At Deemea, we give meaning to clinical research by optimizing the potential of medical imaging data to bring more precision and efficiency to clinical trials. But that’s not all. Our AI-powered solutions structure and analyze multimodal clinical data to optimize trials, accelerate Real-World Evidence generation, and improve patient access to innovative therapies. 📍 Cité Internationale Universitaire de Paris 🗓 March 11, 2025 ➡️ More information: https://lnkd.in/gAN8Q6D #AFCROs #Deemea #clinicaltrials #clinicalresearch #medicalimaging #imagingdata #RWE #RWiD

🚀 Seamless PACS Connection: Faster, Smarter Imaging Data Collection for clinical research 🩻 Accessing and collecting imaging data is now effortless! With Deemea Clinical Research Platform, we ensure a seamless connection to PACS (*), allowing researchers to collect imaging data in just a few clicks. ✅ Direct PACS integration & automated data ingestion: Directly retrieve images from PACS in real-time ✅ Batch & individual transfers: Optimize your workflow with flexible data collection options ✅ Standardized & Secure: Ensure compliance with GDPR & clinical trial regulations ✅ Automated quality control: Detect inconsistencies and missing data instantly. 🔎 You want to focus on your medical discoveries instead of data management? Simplify imaging data collection, maximize research efficiency With Deemea, clinical research teams achieve: ⏱️ 98% reduction in data collection time, accelerating imaging workflows ⚡ ⏩ Study timelines shortened by up to 80% through automation & real-time validation 🚀 40% increase in productivity, enabling the management of more simultaneous studies Deemea transforms imaging data management, allowing researchers to focus on medical discoveries instead of manual processes. 🩻 Ready to revolutionize your clinical research workflow? Contact us 👉 contact@deemea.com #Deemea #clinicaltrials #clinicalresearch #RWE #medicalimaging #imagingdata #RWiD (*) Picture Archiving and Communication System