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ARTICLE: AI in Healthcare: Empowering Humans, Not Replacing Them 💜 Read More: https://lnkd.in/gAv9HDWU At Azra AI, we understand the concerns surrounding AI in healthcare. Our mission is to support healthcare professionals—not replace them. Recently, nurses at HCA Healthcare voiced these concerns, emphasizing the importance of AI technologies that empower, not diminish, their critical role in patient care. Our proven AI platform enhances the work of oncology navigators, and oncology data specialists by automating routine tasks, streamlining workflows, and allowing more time to be dedicated to patient care. With real-time, actionable insights and seamless integration, Azra AI serves as a valuable ally in the fight against cancer and other complex conditions. Read the full article on our website to discover how Azra AI is building a future where AI and healthcare professionals work hand in hand for better patient outcomes by clicking the link above! #AIinHealthcare #EmpoweringClinicians #AzraAI #WinningTogether #OncologyServiceLines 

From #ALLIN2023: AI for healthcare 🩺 Last September, executives from Dialogue, AlayaCare, Roche, Signal 1 , CHUM - Centre hospitalier de l'Université de Montréal, Medeloop.ai, Gray Oncology Solutions and integrate.ai took part in a discussion moderated by Digital supercluster's Sue Paish on the potential of AI technologies to revolutionize patient care, illness management and drug discovery. Find out more in this exclusive article on the brand-new #ALLIN blog - a presentation by SCALE AI | Grappe d’innovation mondiale du Canada en IA 👉 https://lnkd.in/eS3k--Fs

The UK government's decision to cut the NHS AI Lab's budget from £250m to £139m sends a concerning signal about the future of AI in healthcare. This reduction could have profound implications for innovation and patient care. Launched in 2019, the NHS AI Lab aimed to tackle significant health challenges, from early cancer detection to personalised care. With the budget now slashed, the momentum in these critical areas could be severely hindered. Despite the cut, £113m has been invested in 83 AI projects, supporting health start-ups and research teams. However, the broader potential of AI in the NHS remains largely untapped and is at risk of stalling. The King’s Fund highlights a core issue: short-term funding undermines the long-term integration of AI in the NHS. Sustained investment is crucial for building the necessary expertise and capabilities. The NHS AI Lab’s initiatives, including the AI Ethics Initiative and the AI Regulation programme, are essential for safe and effective AI deployment. These programmes ensure that AI technologies are developed and used responsibly. The reduced funding may slow the progress of AI-driven advancements in healthcare, such as earlier stroke treatment and personalised heart attack risk assessments, which are already benefiting NHS patients. An independent evaluation of the AI investments is set to begin, aiming to assess the impact and effectiveness of the funded projects. This evaluation is vital for understanding what works and where improvements are needed. Collaboration with the Cabinet Office’s Incubator for Artificial Intelligence will focus on non-clinical AI solutions, ensuring data privacy and security. However, the absence of new medical AI developments could limit clinical advancements. The NHS must navigate these funding challenges while maintaining its commitment to leveraging AI for better patient outcomes. Strategic investment and support are crucial for realising AI's full potential in healthcare. The future of AI in the NHS hangs in the balance. Will the UK government step up to provide the necessary long-term funding, or will short-term cuts continue to impede progress? The answer will shape the future of healthcare innovation. What would you add? Found this useful? Repost ♻️ to help your network. Join a community of 85,712+ HealthTech leaders finding the ideas, people, innovations and technologies that are shaping the future of healthcare. 👉 http://lnkd.in/eExMcaG6

NHS England slashes investment in NHS AI Lab by £111m - Digital Health #NHS #AI Lab Funding Cut by £111m NHS England has reduced its funding for the NHS AI Lab by £111 million. This decision has raised concerns about the future of AI projects in healthcare. #Impact on AI Research and Development The funding cut will have a significant impact on AI research and development within the NHS. Projects that were in progress may be delayed or canceled due to lack of funding. #Potential Consequences for Patient Care The reduction in funding for the NHS AI Lab could have potential consequences for patient care. AI technologies have the potential to improve efficiency and outcomes in healthcare, but without adequate funding, these benefits may not be realized. #Need for Continued Investment in AI Healthcare IT professionals stress the importance ai.mediformatica.com #health #nhsailab #digital #programme #budget #digitalhealth #investment #news #nhsailabprogramme #nhsengland #cabinetoffice #cancer #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3KyFfYN)

🚀 You can't improve what you don't measure! 🚀 We're thrilled to announce the release of our latest blog post, "Revolutionising Cancer Referrals with Graph-Powered AI Agents," written by our founders. In this post, William Maw and Robert Smith dive deep into how our semi-autonomous AI Agent, LEO, leverages cutting-edge AI and automation engineering techniques to tackle the challenges of the NHS 28-day Faster Diagnosis Standard referral process. Discover how we're using LangChain, Named Entity Extraction, Reasoning, Summarisation, and Neo4j graph-based memory to revolutionise cancer referrals and improve patient outcomes. 🌟 Key Highlights: - Addressing the inefficiencies in cancer referrals - Ensuring completeness and appropriateness of referral information - Reducing decision-making time for clinicians by more than 66% - Enhancing validation and verification through graph-based memory Read the full post to learn how LEO is setting new standards in healthcare AI and paving the way for more streamlined, patient-centric care processes. 🔗 Read the Blog Post: Join us in our mission to transform healthcare delivery through innovative AI solutions! #HealthcareInnovation #AIinHealthcare #CancerReferrals #FasterDiagnosis #HealthcareCoPilot #LEO #AI #TechForGood #Langchain #Neo4j Philip Rathle Ian Smith Steve Boam

Healthcare innovation in AI and brain scans from Belgium: icometrix has already analysed 200,000 brains with its AI model, and is an important piece of the puzzle in understanding, monitoring and treating neurological disorders. Rad more on the in the report on "De Tijd" (sorry, it's in Dutch only) #healthcare #ai #healthcareinnovation #innovation

I deeply value the role of carers and medical professionals in looking after patients. I've seen this with people close to me. This is why I find AI innovations for healthcare professionals and their patients particularly inspiring. Here are a few that caught my eye this year: Ottobock is a German company reputed for prosthetics and orthotics. It has started to use Microsoft AI tools to create and analyze super-detailed body part images and to design prosthetics that fit perfectly and are more comfortable for patients. In a profession that suffers from skills shortages, using AI also means that less experienced technicians can deliver high-quality results. At @stjamesshospitaldublin, EY has worked on a project using Microsoft technology to shorten lab analysis times. For example, lab analysis for MRSA – a.k.a. the hospital superbug - has been cut from nine hours to just two, a crucial saving when containing MRSA outbreaks. A digital health hub collaboration between Finnish university hospitals, Terveyskylä - Hälsobynä, gives patients a huge wealth of information and guidance for managing a whole range of conditions. Diabetics, for example, can have guidance on monitoring blood sugar, insulin therapy and more. It's a perfect example of reducing strain on the healthcare system while empowering the patient. So far, so good - but we must continue to build trust in AI for healthcare. This year, we announced the expansion to Europe of TRAIN, the Trustworthy and Responsible AI Network. TRAIN brings together hospitals, researchers, and technologists from across Europe to rigorously test AI systems and to share best practices. Research from Microsoft Health Futures show the promise of what’s yet to come. Project InnerEye uses AI to help doctors plan radiotherapy treatments much faster Project InnerEye toolkits are now open-source, so that others can develop their own solutions. Another example is the Early Detection of Esophageal Cancer project which aims to identify the disease earlier and improve survival rates. Esophageal cancer is the sixth leading cause of cancer deaths globally, largely because it’s often caught too late. Our health is our wealth, and the progress we’re seeing with AI in healthcare - together with the innovations on the horizon - gives us every reason to feel optimistic for 2025 and beyond. Tjade Stroband, Thomas Spörri, Gabriel Lopez Serrano, Elena Bonfiglioli, Kevin O'Leary, Ruthy Kaidar #AI #Healthcare

This is a great post by Thomas Hagemeijer. The commenters provide thoughtful insights and clarifications-a reminder to dig deeper in order to better understand the numbers as they are presented. #AI #FDAapprovals #AIapprovals #machinelearning #medicaldevices #biotech

The speed towards #AI regulation in 2023-24 shows the pace of anticipated acceleration of industry growth. The expediency of these regulations are very interesting to see. #aiinhealthcare #healthcare #ethics #ai #ml #givemhealth #population #health #regulation