Newton's Tree

🛡️ 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

📢 The Health Foundation report finds broad support for AI in healthcare Interest in the use of artificial intelligence (AI) in health care is growing rapidly. To fully realise its benefits, AI must command the confidence of patients, the public, and NHS staff. The Health Foundation’s recent survey of over 7,000 members of the public and nearly 1,300 NHS staff provides valuable insights. Key Points: • Broad Support: Over half of the UK public (54%) and three-quarters of NHS staff (76%) support the use of AI in patient care, with even higher support for administrative purposes (61% of the public and 81% of NHS staff). • Concerns remain: Despite overall support, a significant minority are skeptical. About 1 in 6 members of the public and 1 in 10 NHS staff believe AI will worsen care quality. Young people and women are notably more skeptical. • Human connection: Over half of the public (53%) and nearly two-thirds of NHS staff (65%) worry AI will make them feel more distant from healthcare staff and patients, respectively. AI must enhance, not detract from, the human dimension of care. • Decision-making accuracy: Nearly a third (30%) of the public are concerned that AI may lead to unchallenged errors. There’s strong support for AI decision-making when outputs are checked by a human. • Occupational differences: While 57% of NHS staff are positive about AI integration, this sentiment varies by role, with medical and dental staff being more positive than healthcare assistants and support workers. Tailored engagement and support are crucial for smooth integration. Join us in shaping the data-driven era of medicine, where innovation meets trust. https://lnkd.in/e9kq_hw8 #HealthcareAI #MedicalInnovation #AIinHealthcare #DigitalHealth

Does it do what it says on the tin? Is it still working? Did it make a difference? Critical questions that health providers are facing post-deployment of AI technology. This fantastic blog from Troy Tazbaz and John Nicol outlines the 7 phases of the AI lifecycle and we pick out what we think are the 3 critical phases for healthcare providers https://lnkd.in/gKdDYJJ6

Does your healthcare system need a Chief AI Officer? We are thrilled to see Cleveland Clinic’s commitment to advancing healthcare technology with the appointment of Ben Shahshahani as their first Chief Artificial Intelligence Officer. This groundbreaking move underscores the vital role AI plays in transforming patient care and operational efficiency. Dr. Shahshahani, a seasoned expert with over 20 years in AI and machine learning, will spearhead Cleveland Clinic's AI strategy. His impressive track record at SiriusXM, Pandora, Verizon Media/Yahoo, and Google highlights his ability to integrate cutting-edge technologies seamlessly. At Newton’s Tree, we believe that AI has the power to revolutionise healthcare by improving patient outcomes and enhancing caregiver experiences. To stay updated with the latest developments and access valuable resources, including the job description for a Chief AI Officer, sign up for our newsletter today! 🔗 https://lnkd.in/eECht89y #HealthcareAI #ArtificialIntelligence #ClevelandClinic #HealthcareInnovation #Newtonstree #AIDeployment