Future Medicine AI

Does regulation stifle innovation in healthcare? Join us for an illuminating conversation with Dr Hugh Harvey, Founder of Hardian Health and a leading expert in AI healthcare regulation. From his journey as a radiologist to becoming a key figure in healthcare tech regulation, Dr. Harvey shares invaluable insights on bringing AI medical devices to market. Learn about the challenges of AI implementation in healthcare, the importance of regulatory approval, and the future of AI in medicine. Whether you're a healthcare professional, tech entrepreneur, or simply interested in the future of healthcare, this interview offers essential perspectives on how AI is transforming medical care while maintaining patient safety. Find the full version here 👇 🔗 https://lnkd.in/dfiuZBWK

XRHealth has announced significant improvements to their AI-driven XR platform, revolutionizing how patients experience therapeutic care. 🔬 What’s New? The enhanced platform leverages advanced AI algorithms and XR (Extended Reality) technology to deliver more personalized, engaging, and effective treatment plans for patients. 💡 Why It Matters: This innovation represents a major step forward in therapeutic care, offering solutions that adapt dynamically to individual patient needs while increasing access to cutting-edge treatments. The Impact: From physical rehabilitation to mental health therapies, XRHealth’s platform aims to redefine patient outcomes with its seamless integration of AI and immersive technologies. 👉 Read more about this exciting development here: https://lnkd.in/eCrAuSdu

Michael Watts, Co-Founder and CEO of Blüm Health, joined us at GIANT Health Event to share how his company works with NHS providers, entrepreneurs, and organizations to turn ideas into practical, scalable solutions. What stood out was their approach to building foundational, user-focused products that solve real problems—layering in advanced tech like AI only when it’s truly needed. Some key points we discussed: 💠 How the appetite for AI in healthcare has grown in the past five years, but challenges like trust and usability remain. 💠 The importance of starting with a true minimum viable product to deliver impact quickly and sustainably. 💠 Why patient, workforce, and service needs are at the core of their product development process. It was also interesting to hear how Michael’s clinical experience shapes his vision for scaling change in healthcare, not just for individual patients, but at a system-wide level. Check out the interview to hear more about his perspective on innovation in healthcare and the lessons he’s learned along the way. Don't forget to follow and register if you'd like to hear more!

Can AI help save lives in maternal healthcare? Dr. Aqil Jaigirdar shares how witnessing a single tragic moment in rural Bangladesh inspired a decade-long mission to transform maternal health. Through Gravida, his groundbreaking initiative, AI is now being used to predict and prevent high-risk pregnancies—providing life-saving care to over half a million women in Bangladesh. In this video from GIANT Health Event, Dr. Jaigirdar discusses: ✔ The human stories driving Gravida’s mission. ✔ The challenges of introducing AI in underserved communities. ✔ How collaboration and innovation are changing global maternal healthcare. 🚨 If you want to hear more about the latest real world applications of AI in healthcare, give us a follow and register free for even more insights.

We had the pleasure of speaking with Susanne Gaube, Assistant Professor for Human Factors in Healthcare at UCL Global Business School for Health, about the fascinating intersection of AI and clinical practice at GIANT Health Event. 💡 Suzanne shared her insights on why AI isn’t always the game-changer it’s promised to be—and how we can fix that. From increased clinician workloads to a lack of user-centered design, she highlighted the critical gaps that need addressing for AI to truly enhance healthcare. Key Takeaways: 🔹 Design WITH clinicians, not FOR them: Involve end users early in development to ensure AI solutions fit seamlessly into workflows. 🔹 Training is critical: Equip clinicians with the skills to critically evaluate AI systems while avoiding over-reliance. 🔹 Trust & Explainability: Building confidence in AI predictions without undermining autonomy is the key to effective adoption. 🔹 Start simple: Addressing administrative burdens might yield greater immediate impact than hyper-focused diagnostic tools. 🔹 Iterate and learn: Treat AI like any other medical device—prototype, test, and refine with real-world feedback. Check out the full interview here 👉 https://lnkd.in/dPiWMXtJ

🚨 Will AI Be the Answer to Rescuing Health and Social Care from Admin Burnout? 📖 Our latest opinion piece by Jon Shaw (Clinical Director at System C) explores this question and offers insights into how AI could help rescue health and social care from administrative overload. See below for an overview, and click here to read the full piece 👉🔗 https://lnkd.in/eGZ8w7bv Health and social care professionals are sounding the alarm – too much of their time is consumed by administrative tasks, leaving less time for what truly matters: providing care. From taking patient notes to manual data entry, the burden is heavy, and it's affecting the efficiency of the system. 💡 The Challenge: Lord Darzi's independent review of the NHS paints a sobering picture of a system under immense strain, with productivity and resource allocation at the heart of the problem. Meanwhile, social care workers report rising caseload complexity and mounting clerical duties. 💻 The Opportunity: AI has the potential to transform how we work, alleviating admin burnout by: ✅ Automating repetitive tasks like documentation ✅ Streamlining workflows and resource management ✅ Standardising processes while allowing human professionals to focus on people-centered care 🎯 The Human-AI Balance: AI alone isn’t the solution – it must operate alongside human oversight to ensure ethical practices and personalised care. After all, while AI can summarise a care plan, only a human can interpret the emotions and nuances behind a patient’s needs. 🔒 Ethics and Safety First: The integration of AI into health and social care must prioritise privacy, compliance, and accountability. Cutting corners could jeopardise patient trust and data security. 💭 Will AI truly be the answer to admin burnout, or are we underestimating the complexity of the challenges faced by healthcare professionals? Let us know your thoughts in the comments. #AIinHealthcare #HealthTech #FutureOfCare #Burnout #NHS

🎗️ Innovating Early Cancer Detection with AI 🎗️ Using imaging and biomarker data from an established teledermatology pathway, Check4Cancer is building a comprehensive foundation model for early detection & triage of skin cancer. CEO Gordon Wishart joined us for a great discussion at the GIANT Health Event. He not only took us through Check4Cancer, but shared some of his perspectives on the importance of AI for cancer screening. Find the full video here: 🔗 https://lnkd.in/eTdVHeKy

Whether you went to GIANT Health Event or not, there was plenty to take away from the NHS National AI Conference (day 2). This specific 'track' had some fantastic talks, presentations, and panel discussions surrounding the applications of AI in healthcare. 👇 Read our full event coverage below, which includes highlights such as: 〰️ Cough Radar (presentation by Mikael Kågebäck, PhD | Sleep Cycle ) - AI driven cough mapping for population health predictions 〰️ Understanding Healthcare Professionals’ Experiences with AI (presentation by Nora Colton)- shedding light on the viewpoints of those working in the clinical profession 〰️ The Human Equation vs. the Algorithm (panel discussion | Professor Shafi Ahmed; Sarah F.; Susanne Gaube; Dr. Aqil Jaigirdar)- the challenges and nuances of AI in healthcare 〰️ Check4Cancer: Using AI to Streamline and Scale Skin Cancer Detection (presentation by Gordon Wishart) 〰️ Skin Analytics : AI in Action (presentation | Keith Grimes; Joshua Luck; and David Lowe) - the only UKCA-approved Class IIa AI as a Medical Device for skin cancer 〰️ Shaping the Future of AI Training (Alexander Aubrey, Nicholas Fuggle Keith Grimes)- why more training is needed for AI in healthcare Find the full event coverage here: 🔗 https://lnkd.in/eNQQeSTX This page will be continually updated throughout the week with more videos and content. Don't forget, you can sign up FREE on our site to get the latest news and insights from the intersection of healthcare and AI: 🔗 https://lnkd.in/eC4cShVs

NVIDIA opens #BioNeMo to accelerate drug discovery! NVIDIA’s #BioNeMo framework is now open-source, bringing cutting-edge AI tools to biopharma and research labs globally. Read the full article about it here: https://lnkd.in/eD4W2Dvb #AI #Biotech #DrugDiscovery #BioNeMo #Innovation #NVIDIA #Biopharma #OpenSource

"Eventually we'll be writing textbooks on this stuff, but we're not there yet" Haris Shuaib (CEO, Newton's Tree) gave us some brilliant insights into the state of AI adoption in healthcare at GIANT Health Event. Here's a snapshot of what we covered in our interview: 🔘 The transition from novelty-driven AI to a more structured approach focused on clinical pathways, evidence, and safety. 🔘 The challenges of AI adoption, including the need for education, technical infrastructure, and policy development. 🔘 The importance of multidisciplinary collaboration in addressing these challenges and the role of events like #GIANTHealth2024 in fostering dialogue between clinicians and technology providers. See the full video below. For those who are new, you can sign up FREE on our site for more valuable insights like this 👇 🔗 https://lnkd.in/eC4cShVs