Gradient Health’s Post

🌎 Which Atlas is right for you?🌍 Having worked with hundreds of AI researchers on dozens of projects, we know that no two use cases are the same. That’s why we’ve created the Atlas suite. Whether you have a straightforward data need but tight budgets and timelines or a highly complex validation process, we have the right solution. Contact our team to find out how Atlas could accelerate your development. #MedicalImaging #AIinMedicine #DataSourcing

🎉 Customer Success Series 🎉 At Gradient, we work with the world's most innovative and ambitious medical technology companies. One of the best things about that is seeing how these organizations use our data to change lives. See-Mode Technologies' recent FDA clearance of their AI-powered thyroid ultrasound solution is one example. In our latest customer success article, we highlight the amazing work of the See-Mode team and explore how Gradient supported their recent regulatory milestone ✅ #AIinMedicine #MedicalImaging #FDA

🌎 Hospital participation in medical AI. Representation matters 🌎 As AI-driven tools continue to reshape medical research and patient care, ensuring that the data used to train these systems is diverse and representative is crucial. Here’s why: 🟠 AI models are only as good as the data they’re trained on. When training data reflects the diversity of real-world patients – across age, gender, ethnicity, and socioeconomic groups – it is able to predict, diagnose and prioritize more accurately. 🟠 AI can perpetuate bias. Without diverse datasets, AI systems can perpetuate biases, leading to poorer outcomes for underrepresented groups. This is particularly concerning for marginalized communities, who already face significant barriers to quality healthcare.   🏥 Healthcare systems can play a part in ensuring their patients are represented. By enabling their patients’ data to be included in research in a secure and de-identified manner, healthcare systems can directly contribute to the development of technology that is safer and more effective for their patient populations. 🤝 How do we help? We offer healthcare systems and hospitals the opportunity to contribute de-identified data to help researchers worldwide, ensuring their data is used for good, and their patients are at the heart of new AI developments. Learn more about becoming a data partner: https://lnkd.in/etc6yvQ2 #HealthcareAI #Data #AIForGood 

🤝 Welcome to the team! 🤝 We're pleased to announce that Eris Gao has joined us as a Software Engineer on the Atlas development team! 🖥 Having recently graduated in Computer Science from Columbia University, Eris brings a wealth of fresh ideas and technical expertise to the team. ⌨️ In addition to their strong background in software development, Eris has a fun hobby that requires precision and creativity—building mechanical keyboards! Welcome to the team Eris! We're excited to have you join us. #NewStarter #SoftwareEngineer #AIinMedicine

Bessemer Venture Partners (BSV) recently launched their updated healthcare AI roadmap, and we are thrilled to see Gradient highlighted as one of the promising healthcare marketplaces tackling the challenges of accessing large amounts of data needed to train AI in healthcare. So, what does the report say? BSV shares its perspective on the primary drivers of new opportunities in healthcare AI and the challenges that developers face today. Our key takeaways: 👉 The healthcare industry generates an estimated 30% of global data, growing faster than other data-rich industries like finance and media. 👉 However, up to 97% of the data generated by hospitals goes unused beyond its initial purpose. 👉 This underutilized data holds the potential to transform healthcare operations and patient care. 👉 Thanks to widespread EHR adoption, most clinical data is now digitized, creating a valuable resource of machine-readable data for AI models. 👉 A theme we discuss often: medical AI needs large, representative, high-quality training data. Additionally, scalable methods for de-identification and re-identification of patient data are critical. Read the full roadmap 👇 https://lnkd.in/gyetmccN Learn how we’re supporting healthcare AI developers 👇https://lnkd.in/e_mjrbwW #MedicalAI #TrainingData #MedTech

🎉 Atlas smashes 10 million study milestone 🎉 At Gradient, we're dedicated to helping our customers develop safe, effective, and bias-free algorithms. That’s why we constantly source new data for our Atlas data-sharing platform. We’re excited to announce that, thanks to a major US-based data deal, Atlas has now surpassed 11.5 million imaging studies! These studies span the full range of imaging modalities and pathologies, making Atlas one of the most powerful resources for medical AI developers anywhere in the world. As always, this data is available on demand as part of your Atlas subscription, ensuring you benefit from unmatched speed and affordability. Start your 7-day free trial today and see what you can do with over 10 million studies at your fingertips 👉 https://lnkd.in/ef-irKPU #AIinMedicine #DataBias #MedicalImaging P.S. In case you missed it, we recently released a new feature for Atlas: sorting by positive findings. This update allows you to filter studies based on confirmed positive findings, helping you focus on the most relevant cases, saving time, streamlining your workflow, and improving efficiency.

🚀 Gradient News: September Edition Out Now! 🚀 Subscribers get first access to all the latest product updates, research, and team news. Don’t miss out on insights, new features, and more. If you haven’t subscribed yet, now is the perfect time to join our growing community of medical AI innovators. 👉 https://lnkd.in/es6YA8PF Stay in the know; subscribe now. #AIinMedicine #MedicalAI #Newsletter

📣 Meet us at #HLTHUSA! 📣 Thanks to the The National Institutes of Health SEED team, we'll be exhibiting at HLTH USA in Las Vegas this year! Our team will be on the show floor connecting with those leading the charge in healthcare AI and keeping up to date with the latest trends in AI implementation. 📍 Where to meet us: Booth 3754 (Kiosk 5) 🤝 Who's attending? Rod B. Greco, our Chief Revenue Officer, will be at the booth to discuss how we're helping medical AI developers validate their work and reduce bias in their algorithms. Lucas Alves, our Director of Revenue, will be on hand to showcase how our Atlas suite can accelerate AI development. 👉 Learn more about how we're supporting AI developers: gradienthealth.io 👉 Join us at HLTHUSA: www.hlth.com/2024event #HLTH2024 #HealthInnovation #AIinMedicine

Another great edition of The Imaging Wire this week. If you're looking for hot off-the-press medical imaging news covering everything from regulatory developments and commercial deals to corporate news, you'd be hard-pressed to find a better outlet to follow. Great work as always Brian Casey 🐐! #MedicalImaging #AIinMedicine #News

Small medical AI developer? We feel your pain. All AI developers face challenges building and deploying medical AI models, but some are particularly challenging for startups: ⏰ You need data fast. 👉 Time is of the essence in the startup world, and getting a medical device to market is a lengthy process. Anything that eats up runway reduces the likelihood of success. 🎯 You need cost-effective solutions. 👉 Resource management plays a vital role in successfully getting a medical device to market due to the vast amount of money and subject matter experts need. The cost of data acquisition is often prohibitive, meaning smaller developers either have to over-leverage themselves or rely on smaller, less representative datasets, seeding issues for the future. ✅ You need to ensure their data is from a credible source and suitable for regulatory submissions. 👉 Startups generally don't have the relationships with institutions in all of their target markets needed to ensure a streamlined process. ⚕️ You can't afford to take on extra compliance risks. 👉Patient data is highly sensitive, and developers must carefully adhere to regional regulations such as HIPAA in the U.S. and GDPR in Europe. We faced these challenges, and that's why we built Gradient Health. Our Atlas suite helps AI developers navigate these challenges and create equitable, high-quality medical devices. Want to learn more? Visit https://lnkd.in/e_mjrbwW #MedicalAI #TrainingData #MedicalImaging