Newton's Tree

Hospitals no longer need to waste time trialing endless AI tools. Our new partnership with Hexarad gives radiology departments one seamless integration with access to a suite of AI solutions. This is the future of radiology! Learn more: https://lnkd.in/eQzj4MrX Haris Shuaib Farzana Rahman

Curious about how AI is transforming radiology in the NHS? Tune in to hear Haris Shuaib, CEO of Newton’s Tree, and Dr. Farzana Rahman, CEO of Hexarad, discuss their groundbreaking partnership with Umang Patel. Discover how we’re empowering hospitals to adopt AI tools seamlessly, reduce reporting backlogs, and improve patient outcomes. 🎧 Don’t miss this insightful conversation from two healthtech leaders with deep NHS experience. 👉 https://lnkd.in/e-q5Dpyb

We're excited to announce our partnership with Hexarad, combining our leading AI platform with their teleradiology and workflow software, Optirad. This collaboration empowers radiology departments to operate at peak efficiency by enabling them to seamlessly access, evaluate and adopt AI into their clinical workflows through one seamless integration. Hexarad’s OptiRad optimises radiology departments by improving rostering and scan reporting and the Newton's Tree AI Platform powers the evaluation and adoption of AI in real clinical settings, enabling hospitals to easily trial and integrate AI tools into their existing systems through a single platform. Learn more: https://lnkd.in/eQzj4MrX Haris Shuaib Farzana Rahman

🛡️ Safeguarding Patient Trust in AI: 5 Keys for Healthcare Organisations 🛡️ The use of data to train AI is a growing priority for many public bodies, including the NHS. AI can help the NHS survive and improve, but it should not be built at the cost of patient trust. Our Head of AI Governance and Policy Robin Carpenter outlines 5 key considerations to ensure that AI initiatives enhance patient care without compromising trust. Read more and ensure your AI projects are built on a foundation of trust and compliance: https://lnkd.in/eMXTb6QC

Why attend the Royal Society of Medicine for clinical risk management in AI ? • Master AI Risk Management: Equip your team with critical skills to safely integrate AI into clinical workflows. • Network with Experts: Connect with industry leaders and innovators in AI and healthcare. • Boost Your Hospital’s AI Capabilities: Learn how to minimize risks and maximize the benefits of AI adoption. 🗓 Date: 18 September 2024 ⏰ Time: 9:30 AM - 5:00 PM 📍 Location: Royal Society of Medicine, London 🏆 CPD Certified Limited Spots Available - Secure your place now to lead the future of healthcare innovation! 🔗 Register Now : https://lnkd.in/dEbSD_wA

🚀 𝟮 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗺𝗮𝗴𝗲𝘀: 𝗜𝘀 𝘁𝗵𝗶𝘀 𝘁𝗵𝗲 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗲𝘃𝗲𝗿 𝘂𝘀𝗲𝗱 𝗳𝗼𝗿 𝗮 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗜 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺? Siemens Healthineers just secured FDA clearance for the ACUSON Origin and ACUNAV LUMENUS, leveraging vast datasets to drive cutting-edge AI in ultrasound imaging. Does AI still need such massive datasets? Source: https://lnkd.in/eZdbuF5w #AIinHealthcare #MedicalImaging #FDA #Innovation #SiemensHealthineers

There’s less than a month to go until our Clinical Risk Management in Artificial Intelligence on Wednesday 18 September at the Royal Society of Medicine in London. If you're a Clinical Safety Officer, or involved with #AI in healthcare, we are running another CPD Accredited Clinical Risk Management in AI Advanced Training Course, designed for you to gain: ✔️ Confidence in applying clinical risk management standards (DCB0129, DCB0160, ISO14971) in clinical AI projects ✔️ Knowledge of real-world case studies in both diagnostic and LLM-based AI ✔️ Networking with leading experts in the field Limited tickets available. Full agenda and register: https://lnkd.in/dhbWsvZm

Incredibly safe or hidden harms? The case for postmarket surveillance According to this helpful analysis by Bradley Merrill Thompson, RAC: "AI devices are currently producing fewer MDRs than the medical device universe in general." However, despite the exponential growth of AI medical software, they still represent a small minority of all medical devices. Additionally, the majority of reports to the FDA for AI medical devices are for "incorrect result", which is perhaps the easiest harm to identify. Beyond incorrect results, there is little to no reporting of incidents through biassed performance or automation bias. Read more below: https://lnkd.in/dEhBTvP9

AI governance is everyone’s responsibility. If you're a clinical safety officer, or involved with AI in healthcare, then join us at the Royal Society of Medicine (London) on 18 September, where we are running another CPD Accredited Clinical Risk Management in AI Advanced Training Course. Join us to gain: 👉 Confidence in applying clinical risk management standards (DCB0129, DCB0160, ISO14971) in clinical AI projects 👉 Knowledge of real-world case studies in both diagnostic and LLM-based AI 👉 Networking with leading experts in the field Limited tickets available. Full agenda and register: https://lnkd.in/dhbWsvZm Read more about our previous sold-out course here: https://lnkd.in/dKfJjVSj

If you missed The Health Foundation event 'AI in the NHS: Shaping the Future of Healthcare' check out the recording in the link below and listen to our CEO Haris Shuaib with fellow experts from NHS, government, tech industry, investors, academia and the charity sector explore the priorities for an #NHSAIStrategy. Hatim Abdulhussein Erika Denton Jennifer Dixon Malte Gerhold Felix Greaves Isaac Kohane Dr Avi Mehra Rachel Power Prof. Susan Shelmerdine Eric Sutherland Nell Thornton