Aidoc’s Post

Focus of the new GE HealthCare AI Innovation Lab ... Triple Negative Breast Cancer, Agentic AI, Care Companion solution for Fetal Heart Rate for Mother and Child, Multi-Modal Full Body X-Ray Foundation Model (FM), Scaling Mammography Screening with FMs https://lnkd.in/gcqvFMdg

Early and accurate diagnosis is crucial in healthcare—it makes all the difference. How is AI stepping up to this challenge? A groundbreaking study in The Lancet Digital Health revealed that AI tools have achieved an impressive 94% accuracy rate in detecting breast cancer from mammograms, outperforming traditional methods. Not only in oncology, AI-powered tools excel in almost every field at analyzing medical images and data with remarkable precision. Furthermore, this leads to early and more accurate diagnoses. This early detection allows quicker interventions, significantly improving patient outcomes and potentially saving lives. Our AI-powered diagnostic solutions at #DIBSTechnologies are designed to elevate your clinical practice. Imagine the impact of integrating such updated technology into your workflow—enhanced accuracy, faster diagnoses, and better patient outcomes. Discover how our solutions can transform your practice. Contact us today for a demo or to learn more!

💡💡💡 //The application brings together multi-modal patient data from disparate systems into a single view. It leverages generative AI to summarize clinical notes and reports.// //“CareIntellect is designed to help providers streamline access to critical patient information and surface key changes since the patient’s last visit,” said Dr. Taha Kass-Hout, global chief science and technology officer at GE HealthCare. “By ensuring the provider has the right information at their fingertips, they can spend less time sifting through information and more time helping patients.”// #Medicaldevices #AI #Patientdata #Accuracy #Efficiency #Oncology #GenerativeAI

AI powered personalized cancer therapy is the future of cancer treatment. AI's ability to analyze data at an unprecedented scale offers hope and advanced solutions for patients worldwide. Integrating AI into healthcare not only enhances diagnostic precision but also personalizes patient care—Leading the way in a new era of medicine. It's no longer a question of if, but how soon all healthcare providers will adopt these intelligent solutions. For innovators, investors, and healthcare professionals, now is the time to step forward and champion the AI revolution in healthcare. The potential to save lives and improve patient outcomes has never been greater. 💡 Interested in learning more about how AI is changing the game in cancer treatment? Check out this insightful blog post 👉https://bit.ly/44mkitu #AIinHealthcare #CancerTreatment #Innovation #DigitalHealth #Aiintheranostics #InvestInHealth #DigitalHealth #HealthcareInnovation #InnovationInHealthcare #DigitalTransformation #MedTech #HealthcareLeaders #HealthcareAI #DigitalHealthConference #FutureofHealthcare #Health #Healthcare #HealthcareIT

AI is transforming care in oncology by making healthcare more equitable, efficient, and patient-centred: 1. AI is being leveraged to tackle issues of equity and bias in oncology care. The technology is seen as a crucial tool in ensuring that advancements in cancer treatment and diagnostics are accessible to all patients, including those from underrepresented or underserved communities. 2. Integrating AI technologies in oncology aims to enhance clinical efficiency, allowing healthcare professionals to deliver better care with fewer resources. AI can process vast amounts of data much faster than humans, providing oncologists with insights and information to help them make informed decisions quickly. 3. AI is also seen as a means to bring back the human touch in healthcare. By automating administrative tasks and streamlining data analysis, AI frees healthcare professionals to spend more time on direct patient care. 4. AI has the potential to expedite drug discovery and development processes, making it faster and more efficient to bring new treatments to market. This acceleration could improve outcomes for all cancer patients by ensuring more people have access to the latest treatments and clinical trials, thereby addressing inequities in clinical research participation. While we can be proud of the progress in oncology, especially in AI's role in transforming care, our focus moving forward must be on ensuring equitable access to these advances for every patient, irrespective of where they live. Let's continue to push the boundaries of innovation while also striving to bridge the disparities in cancer care access and outcomes. #WatchThisSpace #CancerCare #OncologyInnovation #AIinHealthcare #EquityInHealthcare #LinkMedicalSolutions Article by Jo Cavallo https://lnkd.in/eg_MrXp2

AI in Medical Imaging: Making Cancer Screening Faster, Cheaper, and More Accessible Cancer diagnosis remains a daunting reality, with nearly 40% of the world’s population facing it in their lifetime. Emmy Gal, founder of Ezra, aims to revolutionize cancer detection by offering full-body MRI scans powered by AI, addressing the need for early and accessible cancer screening. With a significant shortage of radiologists, AI serves as a crucial tool to assist in faster, more consistent diagnoses, moving cancer care from reactive treatment to proactive prevention. The discussion broadens into the transformative role of AI in healthcare, particularly in medical imaging, predictive diagnostics, and contact center support. By 2030, the AI healthcare market is anticipated to surge dramatically, as it enables personalized treatment, reduces human error, and expands access to preventive care. While challenges such as data privacy and AI ethics persist, the future holds immense promise, with AI not only enhancing diagnostics but also tackling complex issues like climate change, offering revolutionary potential in human health and environmental sustainability. Conclusion: This is the video on From Diagnosis to Prevention: How AI is Shaping the Future of Cancer Treatment https://lnkd.in/g2azSQzD

🌟 AI is revolutionizing cancer care! 🌟 Explore how AI-driven solutions are transforming oncology, from drug development and personalized treatments to early detection and patient management. Dive into the latest advancements that are making precision medicine a reality: https://lnkd.in/gVgK-7ug Key highlights: 🎯 Precision medicine tailored to individual patients 💊 AI in drug development and repurposing 🧬 Personalized risk assessments and disease prevention 📈 Advanced imaging and diagnosis techniques 🤖 AI-assisted surgical guidance and treatment 🚀 Optimizing clinical trials for faster, better results #PNPTC #AI

🌟 Facing the Challenges of Metastatic Cancer Care? 🌟 Handling complex metastatic cases? Struggling with MDT coordination? Searching for AI-driven, evidence-based decisions? We recognize the weight of your decisions. We know the stakes are high. The need for accuracy. We've developed solutions to make your life easier: 🔹 OncoBase – Centralize all patient data. 📊 Easy access. Enhance system collaboration. ✅ 🔹 OncoChat – 🔍 Improved decision-making. 🗣️ Real-time insights. 📈 Seamless communication. 🌐 🔹 OncoRx – Optimize medication management. 💊 Evidence-based guidelines. 📚 Personalized treatment. 👩⚕️👨⚕️ 🔹 OncoDx – Early, accurate detection. 🧬 Multimodal AI. 🧠 Follow the latest guidelines. 📜 Act fast – we're selecting only a few early adopters to experience our transformative solutions. 🚀 📞 Message me to see how OncowiseAI can elevate your practice. If we're not the right fit, we'll still provide a strategy or direction to help you. 🌟 #Oncology #AI #HealthTech #MetastaticCancer #OncowiseAI #MDT #EvidenceBasedCare #PatientCare #EarlyAdopters

I recently had an "aha moment" while attending a class in the AI in Healthcare course at MIT Sloan School of Management. Like many, I joined the course to learn about the latest technologies. But during a lecture by Professor Regina Barzilay, I discovered my "why." In cancer care, most treatment decisions are based on evidence generated through clinical trials. But here’s the surprising part: these trials include only about 3% of all cancer patients (Bennet et al., 2000). Let that sink in. 3%. God forbid, if you or your loved ones were battling cancer, the treatments being recommended would be based on data from that tiny fraction of patients. Think about that. Now imagine what’s possible if AI could unlock the vast amounts of data already in our healthcare systems—data from the other 97% of patients. This could pave the way for more personalized, effective, and inclusive clinical decision-making. Yes, there are challenges. AI must be made as safe and trustworthy as clinical trials. But this represents a huge opportunity to transform healthcare. By embracing both evidence-based care and predictive AI for decision support, we can achieve better outcomes for all. And no—robots are not going to replace doctors. But they can empower them with better tools and insights for decision "support." My take on Evidence-based vs Predictive AI in Healthcare https://lnkd.in/gvac8MgQ