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lang=\"EN-GB\">Explore key insights from Zühlke’s Health Talk on what it really takes to enable AI innovation in MedTech – moving beyond the hype and into real-world adoption.\u003C\u002Fspan>\u003C\u002Fp>",{"id":215,"sharedMediaLegend":204,"mediaImage":242,"name":238},{"url":217,"width":218,"height":219,"alt":220,"title":204,"size":221,"mime":222,"variations":204},[244,250,255,260,286,291,296,301,310],{"__typename":245,"id":246,"ctaLink":204,"pgSharedText":247,"pgSharedTitle":204,"pgSharedCtaLink":204},"ParagraphPgText","29882",{"value":248,"processed":248,"format":249},"\u003Cp>Over the course of an hour, we moved beyond buzzwords to look at the real enablers of AI in MedTech. What we found was clear: the biggest opportunities often come down to getting the basics right.\u003C\u002Fp>\u003Cp>Here are five key takeaways:\u003C\u002Fp>","full_html",{"__typename":245,"id":251,"ctaLink":204,"pgSharedText":252,"pgSharedTitle":254,"pgSharedCtaLink":204},"29883",{"value":253,"processed":253,"format":249},"\u003Cp>As Lavanya Issenmann from Sonova pointed out, AI has been part of our lives for decades. From IBM's Watson on Jeopardy! to Google Maps rerouting our commutes, we use it daily – often without realising. Yet when AI shows up in healthcare, it can still feel unfamiliar, even threatening.\u003C\u002Fp>\u003Cp>This perception gap creates friction – not just for patients, but also for clinicians introducing AI-powered solutions. As Lavanya put it, the goal isn't just to educate; it's to help people believe. Her team used peer-led testimonials and real-world examples to build trust among audiologists adopting AI-enabled hearing aids. The takeaway? Familiarity is a powerful adoption tool.\u003C\u002Fp>","1. AI isn't new – but our perception of it needs an update",{"__typename":245,"id":256,"ctaLink":204,"pgSharedText":257,"pgSharedTitle":259,"pgSharedCtaLink":204},"29884",{"value":258,"processed":258,"format":249},"\u003Cp>Guido Mathews, who leads medical imaging data and AI research at Bayer Radiology, highlighted a revealing paradox – despite hundreds of FDA-approved AI tools, many remain underused. Why? Because hospitals and clinics often lack the infrastructure, integration, and trust to use them confidently.\u003C\u002Fp>\u003Cp>This isn’t just about regulation or reimbursement. It’s about the day-to-day workflows of radiologists, clinicians, and support teams. If a tool doesn’t fit smoothly into their environment – or if it adds complexity rather than removing it – it won’t get used. Successful adoption depends as much on psychology and process as it does on code.\u003C\u002Fp>","2. The biggest barriers aren’t technical – they’re human",{"__typename":261,"id":262,"caption":204,"imageRight":204,"pgSharedTitle":263,"pgSharedCtaLink":204,"textMedia":264,"pgSharedText":284},"ParagraphPgTextMedia","29885","3. Human-centred AI is the key to adoption and responsibility",{"id":265,"sharedMediaLegend":204,"mediaImage":266,"name":283},"171612",{"url":267,"width":268,"height":269,"alt":220,"title":204,"size":270,"mime":222,"variations":204,"textMediaVariations":271},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fhealthcare-human.jpg",955,764,57104,[272,277,278,279,282],{"name":273,"url":274,"width":275,"height":276},"FIXED_WIDTH_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002Fhealthcare-human.jpg.webp?itok=ZkTBwCpV",900,720,{"name":273,"url":274,"width":275,"height":276},{"name":273,"url":274,"width":275,"height":276},{"name":280,"url":281,"width":268,"height":269},"FIXED_WIDTH_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002Fhealthcare-human.jpg.webp?itok=nMZCP_Wz",{"name":280,"url":281,"width":268,"height":269},"healthcare-human.jpg",{"value":285,"processed":285,"format":249},"\u003Cp>Adoption isn’t only about clearing technical hurdles. It’s about enabling behaviour change. Lavanya shared a behavioural science model built on motivation, ability, and prompts. Her team used it to support audiologists in understanding, testing, and confidently recommending AI-powered hearing solutions.\u003C\u002Fp>\u003Cp>At the same time, AI is moving fast – and regulation is playing catch-up. Ethical design, transparency, and consent aren’t nice-to-haves anymore; they’re essential. As Lavanya said: ‘The role of the human is even more immense than any other technological innovation that has come before.’\u003C\u002Fp>",{"__typename":245,"id":287,"ctaLink":204,"pgSharedText":288,"pgSharedTitle":290,"pgSharedCtaLink":204},"29886",{"value":289,"processed":289,"format":249},"\u003Cp>If there’s one phrase that came up repeatedly, it was this: back to basics. As I noted during the talk, scaling AI starts with foundations. And that means data.\u003C\u002Fp>\u003Cp>Guido stressed that even the most advanced AI solutions struggle to gain traction if the underlying data infrastructure isn’t there. Radiology workflows, for example, are often fragmented – imaging data isn’t always accessible across departments or locations. CDs are still in circulation. Data silos persist. The result? Missed opportunities and wasted potential.\u003C\u002Fp>\u003Cp>The hard truth is that you can't build scalable, responsible AI on top of broken systems. Data governance, interoperability, and infrastructure investment are essential.\u003C\u002Fp>","4. Back to basics: data readiness is non-negotiable",{"__typename":245,"id":292,"ctaLink":204,"pgSharedText":293,"pgSharedTitle":295,"pgSharedCtaLink":204},"29887",{"value":294,"processed":294,"format":249},"\u003Cp>Looking ahead, both speakers offered a glimpse into what’s possible when those foundations are in place. Lavanya is especially excited about the rise of virtual patients – synthetic models that could transform diagnostics and personalised care.\u003Cbr>Guido, meanwhile, sees huge potential in radiomics and precision imaging. By combining AI with broader patient data sets, we can move beyond 2D tumour tracking and towards holistic, multi-modal insights. It's a shift that could dramatically improve cancer diagnostics and treatment outcomes.\u003C\u002Fp>","5. What’s next: virtual patients and AI-enabled imaging",{"__typename":245,"id":297,"ctaLink":204,"pgSharedText":298,"pgSharedTitle":300,"pgSharedCtaLink":204},"29888",{"value":299,"processed":299,"format":249},"\u003Cp>Innovation in MedTech doesn’t happen through hype. It happens through trust, collaboration, and well-laid foundations. AI has enormous potential to transform healthcare, but only if we’re willing to do the hard work behind the scenes.\u003Cbr>At Zühlke, we believe in putting people at the centre of that journey. Because when you get the basics right, the breakthroughs follow.\u003C\u002Fp>\u003Cp>Curious to learn more or continue the conversation? Watch the full Health Talk \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fw8pZ5VuLbE\">here\u003C\u002Fa>.\u003C\u002Fp>","Final thought: from hype to health impact",{"__typename":302,"id":303,"title":304,"media":305,"text":308,"primaryImage":204,"pgSharedTitle":309},"ParagraphPgContentVideoHighlight","29890","Missed the session? Watch recording here",{"id":306,"mediaOembedVideo":307},"171609","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fw8pZ5VuLbE","AI is reshaping MedTech. At our virtual event, industry leaders explored real-world healthcare applications beyond the hype.","Enabling AI innovation in MedTech | Zühlke Health Talk",{"__typename":311,"id":312,"title":313,"text":314,"pgCtaLink":315,"imageLayout":318,"media":319},"ParagraphPgTeaserBig","29889","Incremental adoption: a holistic analysis of AI’s future in healthcare","This whitepaper, based on Zühlke’s in-depth research and interviews with healthcare professionals, policymakers and technologists across the globe, explores the practical path to scaling AI in clinical settings. It unpacks challenges like fragmented data, regulatory uncertainty and algorithmic bias – and outlines a strategic framework for safe, effective adoption.\r\n\r\nIdeal for decision-makers navigating the realities of innovation in MedTech, this report offers a balanced, actionable perspective grounded in real-world experience.",{"title":316,"url":317,"internal":7},"Get the whitepaper","\u002Fen\u002Finsights\u002Fhype-hope-and-hallucinations-a-reality-check-on-ais-healthcare-potential","right",{"id":320,"sharedMediaLegend":204,"mediaImage":321,"name":336},"170729",{"url":322,"width":323,"height":324,"alt":220,"title":204,"size":325,"mime":222,"variations":204,"teaserVariations":326},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fpatient%20journey.jpg",1200,957,249482,[327,329,330,334,335],{"name":225,"url":328,"width":227,"height":228},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fpatient%20journey.jpg.webp?itok=7BQs_cXJ",{"name":225,"url":328,"width":227,"height":228},{"name":331,"url":332,"width":333,"height":324},"FOCAL_POINT54_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_5_4_medium\u002Fpublic\u002Fimages\u002Fpatient%20journey.jpg.webp?itok=YMfm0g8m",1197,{"name":331,"url":332,"width":333,"height":324},{"name":331,"url":332,"width":333,"height":324},"patient journey.jpg",[338],{"id":339,"name":340},"13","MedTech",[342],{"id":343,"name":344},"110","AI",{"processed":346},"\u003Cp>AI in healthcare is everywhere – in headlines, in boardroom conversations, and increasingly in the hands of patients and clinicians. 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At Zühlke, we recently brought together leaders from Bayer and Sonova to explore this very topic in our latest Health Talk.\u003C\u002Fp>\n",{"title":348,"url":349,"internal":7},"Watch recording here","#section-29890",{"timestamp":351},1746446400,[353],{"status":7,"contactName":354,"contactProfession":355,"contactLinkedinUrl":356,"sharedEmail":360,"sharedRefMedia":361},"David Elliman","Global Chief of Software Engineering",{"title":357,"url":358,"internal":359},"","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Felliman\u002F",false,"david.elliman@zuhlke.com",{"id":362,"sharedMediaLegend":204,"mediaImage":363,"name":374},"167342",{"url":364,"width":227,"height":227,"alt":354,"title":204,"size":365,"mime":222,"variations":204,"authorVariations":366},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fdavid-elliman_0.jpeg",100830,[367,370,371,372,373],{"name":368,"url":369,"width":227,"height":227},"FOCAL_POINT11_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002Fdavid-elliman_0.jpeg.webp?itok=KqGd6fb7",{"name":368,"url":369,"width":227,"height":227},{"name":368,"url":369,"width":227,"height":227},{"name":368,"url":369,"width":227,"height":227},{"name":368,"url":369,"width":227,"height":227},"david-elliman.jpeg",[376,404,432,456],{"id":377,"path":378,"sharedTeaserTitle":379,"sharedTeaserRefMedia":380,"sharedTaxrefIndustries":398,"sharedTaxrefExpertises":402},"26234","\u002Fen\u002Finsights\u002Ffair-ai-debiasing-techniques","Fair AI: debiasing techniques that actually work",{"id":381,"sharedMediaLegend":204,"mediaImage":382,"name":397},"170993",{"url":383,"width":384,"height":276,"alt":385,"title":204,"size":386,"mime":222,"variations":204,"relatedContentVariations":387},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FSee-thru%20data%20screen%20watcher..jpg",1280,"Close-up of a woman's face overlayed with abstract depictions of data. 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