{"id":94369,"date":"2026-04-03T16:46:26","date_gmt":"2026-04-03T16:46:26","guid":{"rendered":"https:\/\/mybusinessfuture.com\/1451-ai-powered-medical-devices-approved-in-the-us-europe-doesnt-even-maintain-a\/"},"modified":"2026-06-10T14:38:30","modified_gmt":"2026-06-10T14:38:30","slug":"1451-ai-powered-medical-devices-approved-in-the-us-europe-doesnt-even-maintain-a","status":"publish","type":"post","link":"https:\/\/mybusinessfuture.com\/en\/1451-ai-powered-medical-devices-approved-in-the-us-europe-doesnt-even-maintain-a\/","title":{"rendered":"1,451 AI Medical Devices Approved in the U.S."},"content":{"rendered":"\n<p style=\"display:inline-block;background:#c0392b;color:#fff;padding:4px 14px;border-radius:20px;font-size:0.85em;margin-bottom:18px;\">5 Min. read time<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\"><strong>By the end of 2025, the US FDA had approved exactly 1,451 AI-powered medical devices &#8211; 295 of them in the past year alone. In Europe, there isn&#8217;t even a comparable public database. While US clinics are using AI diagnostics as part of their standard operations, German hospitals are working with isolated solutions and waiting for an AI Act, whose high-risk requirements won&#8217;t come into effect until 2027. A stocktake.<\/strong><\/p>\n\n<div style=\"border-left:4px solid #c0392b;padding:16px 20px;margin:24px 0;background:#fff5f5;border-radius:0 8px 8px 0;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;\">Key Takeaways<\/h2>\n<ul>\n<li><strong>1,451 AI medical devices approved in the USA:<\/strong> 295 in 2025 alone, 76% are for radiology. GE HealthCare leads with 120 approvals (The Imaging Wire, March 2026).<\/li>\n<li><strong>Europe lacks an overview:<\/strong> There is no public database for CE-certified AI medical devices. At least 219 are estimated to be on the market (as of January 2025).<\/li>\n<li><strong>Only 2.4% randomized validation:<\/strong> Of 903 FDA AI devices studied, 24.1% had no clinical study at all. Only 2.4% were randomized (JAMA Network Open, 2025).<\/li>\n<li><strong>DACH clinics are using AI:<\/strong> Asklepios is using Aidoc in 25+ hospitals, the Vara-PRAIM study increased breast cancer detection by 17.6% among 463,094 women.<\/li>\n<li><strong>AI Act high-risk deadline: August 2027.<\/strong> Until then, medical AI systems will be subject to full requirements for risk management, data quality, and human oversight.<\/li>\n<\/ul>\n<\/div>\n\n<h2>What are AI medical devices?<\/h2>\n<p>AI medical devices are a concrete lever for companies in 2026 because the topic directly affects digital care processes, data protection, and hospital IT. The article uses the example of synaforce to show which requirements, metrics, and operational steps count in practice.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">295 approvals in one year: What the FDA figures show<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Since 2017, the FDA has maintained a publicly accessible database of all AI-powered medical devices with market approval. The figures show a clear trend: from 29 approvals in 2017 to 295 in 2025 &#8211; a record figure that significantly exceeded the previous year&#8217;s record of 223.<\/p>\n\n<div class=\"evm-stat evm-stat-highlight\" style=\"text-align:center;background:#fff5f5;border-radius:12px;padding:32px 24px;margin:32px 0;\">\n<div style=\"font-size:clamp(1.5em,5vw,2.4em);font-weight:700;color:#c0392b;letter-spacing:-0.03em;\">1,451<\/div>\n<div style=\"font-size:15px;color:#444;margin-top:8px;\">AI medical devices with FDA approval (cumulative by end of 2025)<\/div>\n<div style=\"font-size:12px;color:#888;margin-top:8px;\">Source: The Imaging Wire \/ FDA, March 2026<\/div>\n<\/div>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">76% of all approved AI devices are for radiology &#8211; an area where pattern recognition works particularly well with large image datasets. GE HealthCare tops the list with 120 approvals, followed by Siemens Healthineers with 89. The fact that two of the top three manufacturers have European roots makes the regulatory asymmetry between the US and EU even more striking.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">However, not every approval is equivalent to clinical benefit. An analysis in JAMA Network Open (April 2025) examined 903 FDA-approved AI medical devices and came to a sobering conclusion: 24.1% had no clinical validation study to speak of. Only 2.4% were tested with randomized controls, 8.1% prospectively. Around 90% of the devices relied on retrospective data or no clinical evidence at all.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">This means that the FDA figure of 1,451 approvals is impressive as an indicator of market dynamics. As a quality characteristic, it is only conditionally suitable. For hospital buyers evaluating an AI system, FDA approval alone is not a sufficient criterion. What matters are prospective studies on comparable patient cohorts and comprehensible clinical validation in their own care context.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Europe&#8217;s Blind Spot: No Database, No Transparency<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">In Europe, there is no comparable public list. Neither the EMA nor the BfArM maintains an accessible database of certified AI medical devices. The European database EUDAMED, intended to provide transparency, has been under development for years. Individual modules are set to become mandatory from May 2026, but a comprehensive overview of all AI products on the European market will not be available until years later.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Independent trackers estimate the number of CE-certified AI medical devices to be at least 219 (as of January 2025). The actual number is likely higher, but no one knows for sure. For hospital procurement managers deciding which AI system to evaluate, this is a real problem.<\/p>\n\n<div style=\"overflow-x:auto;margin:32px 0;\">\n<table style=\"width:100%;border-collapse:collapse;font-size:0.95em;\">\n<thead>\n<tr style=\"background:#c0392b;color:#fff;\">\n<th style=\"padding:12px 16px;text-align:left;\">Criterion<\/th>\n<th style=\"padding:12px 16px;text-align:center;\">USA (FDA)<\/th>\n<th style=\"padding:12px 16px;text-align:center;\">Europe (CE\/MDR)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom:1px solid #e9ecef;\">\n<td style=\"padding:10px 16px;font-weight:600;\">Public AI Database<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">Yes, since 2017<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">No (EUDAMED under development)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;background:#fafafa;\">\n<td style=\"padding:10px 16px;font-weight:600;\">Approved AI Products<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">1,451 (cumulative)<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">at least 219 (estimated)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;\">\n<td style=\"padding:10px 16px;font-weight:600;\">Approval Rate 2025<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">295 new devices<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">Unclear (no statistics)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;background:#fafafa;\">\n<td style=\"padding:10px 16px;font-weight:600;\">AI-Specific Regulation<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">FDA framework since 2021<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">AI Act from August 2027<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;\">\n<td style=\"padding:10px 16px;font-weight:600;\">Clinical Validation<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">Required, but incomplete<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">MDR-compliant (stricter)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">DACH Clinics Deploy AI &#8211; But in Isolated Solutions<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Despite regulatory gaps at the European level, individual DACH clinics are already productively using AI diagnostics. The results are promising, but remain isolated.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Asklepios, one of Germany&#8217;s largest private hospital operators, has installed the Israeli AI system Aidoc in over 25 facilities. The software analyzes CT scans in real-time and detects strokes, intracranial hemorrhages, and vertebral fractures &#8211; funded through KHZG subsidies. The advantage: Aidoc prioritizes the findings list, so time-critical cases immediately land with the radiologist instead of in the queue.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The largest prospective study on AI use in diagnostics to date also comes from Germany. The Vara-PRAIM study, published in Nature Medicine, evaluated over 463,000 mammography screenings. The result: a 17.6% increase in breast cancer detection while simultaneously reducing the workload for radiologists. It is the world&#8217;s largest prospective study of its kind.<\/p>\n\n<blockquote style=\"border-left:4px solid #c0392b;margin:32px 0;padding:20px 24px;background:#fafafa;border-radius:0 8px 8px 0;font-size:1.1em;line-height:1.6;color:#333;\">\n&#8220;The question is no longer whether AI works in diagnostics. The question is how we achieve the transfer from the study to routine operation &#8211; regulatory, organizational, and economically.&#8221;\n<cite style=\"display:block;margin-top:12px;font-size:0.8em;color:#888;font-style:normal;\">&#8211; Prof. Alexander Berens, University of T\u00fcbingen (press release, 2025)<\/cite>\n<\/blockquote>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The problem: Each of these implementations is a standalone project. There is no national standard for AI integration into hospital information systems, no uniform interface, and no central registry of which clinic uses which system. Although the G-BA Innovation Fund is promoting the regular use of AI in radiology with the xR.AI project, Germany is far from a comprehensive rollout.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The consequence: German clinics that want to introduce AI diagnostics must navigate every step themselves &#8211; from product selection to integration into their HIS to training radiologists. In addition, there are liability questions that have not yet been conclusively clarified nationally or at the European level. If an AI system misses a finding and the treating physician has relied on the system, who bears the responsibility? The MDR regulates the manufacturer&#8217;s product liability, but the medical duty of care remains. In practice, this uncertainty means that many radiologists do not use AI findings as a basis for decision-making, but at best as an additional hint.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">AI Act from 2027: What&#8217;s in Store for MedTech Companies<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The EU AI Act has been in force since August 2024, but medical devices have a transition period: the full high-risk requirements will only apply from August 2, 2027. AI systems classified as medical devices under the MDR or IVDR are automatically categorized as high-risk AI.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">What this means in concrete terms: manufacturers must implement an AI-specific risk management system, meet data quality and data governance requirements, create technical documentation that goes beyond MDR requirements, and integrate human oversight systems. The effort is significant, particularly for smaller companies.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">A glimmer of hope: in November 2025, the EU Commission presented an omnibus simplification proposal aimed at reducing the overlap between the AI Act and MDR\/IVDR. Instead of duplicate documentation and conformity assessments, there will be an integrated process. Adoption is expected in summer 2026.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">For German MedTech SMEs &#8211; 93% of the industry are companies with fewer than 250 employees &#8211; this is not an academic question. The MDR has already led to manufacturers withdrawing products from the European market in recent years because certification costs exceeded revenue. If the AI Act adds similar bureaucracy, consolidation will continue.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">At the same time, regulation creates a quality advantage: AI medical devices that comply with both MDR and AI Act have a trust advantage over devices approved solely by the FDA. European manufacturers that overcome this double hurdle can use it as a differentiator in the global market. Prerequisite: they must survive the transition phase until 2027 financially and organizationally.<\/p>\n\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Gaining Momentum or Losing Ground<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The global AI market in healthcare was estimated at $21.66 billion in 2025. By 2030, it&#8217;s expected to grow to over $110 billion &#8211; an average annual growth rate of 38.6% (MarketsandMarkets). PwC Strategy&#038; estimates the European potential at $203 billion.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Germany is home to strong AI players in MedTech, including Siemens Healthineers, Brainomix, Vara, and Merantix. Clinical research is on an international level &#8211; the PRAIM study is a striking example. What&#8217;s missing is the bridge between research and routine operation: a European AI database that creates transparency; a harmonized approval process that doesn&#8217;t overwhelm SMEs; and a hospital landscape that sees AI not as a funding project, but as a standard tool.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The FDA has approved 1,451 AI medical devices in eight years and has learned to adapt its processes. Europe has written a regulation in the same timeframe, which will only take effect in 2027. Anyone who doesn&#8217;t see this backlog as a strategic risk hasn&#8217;t understood the market&#8217;s dynamics.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Frequently Asked Questions<\/h2>\n\n<details style=\"border:1px solid #e9ecef;border-radius:6px;background:#f8f9fa;margin-bottom:8px;\">\n<summary style=\"padding:14px 18px;cursor:pointer;font-weight:600;\"><strong>How many AI medical devices has the FDA approved by 2025?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">By the end of 2025, the FDA had approved a total of 1.451 AI-powered medical devices. In 2025 alone, 295 were added &#8211; a record number. 76% are in radiology, with GE HealthCare leading the list with 120 approvals.<\/p>\n<\/details>\n\n<details style=\"border:1px solid #e9ecef;border-radius:6px;background:#f8f9fa;margin-bottom:8px;\">\n<summary style=\"padding:14px 18px;cursor:pointer;font-weight:600;\"><strong>Is there a database for AI medical devices in Europe?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">No. Unlike the FDA, neither the EMA nor the BfArM maintains a public list of CE-certified AI medical devices. The European database EUDAMED is under development, with individual modules becoming mandatory from May 2026. A complete overview will not be available for years.<\/p>\n<\/details>\n\n<details style=\"border:1px solid #e9ecef;border-radius:6px;background:#f8f9fa;margin-bottom:8px;\">\n<summary style=\"padding:14px 18px;cursor:pointer;font-weight:600;\"><strong>When do the AI Act requirements for medical devices take effect?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">The full high-risk requirements of the EU AI Act for medical AI systems will apply from August 2, 2027. AI systems classified as medical devices under MDR or IVDR are automatically considered high-risk and must meet specific AI-related risk management and data quality requirements.<\/p>\n<\/details>\n\n<details style=\"border:1px solid #e9ecef;border-radius:6px;background:#f8f9fa;margin-bottom:8px;\">\n<summary style=\"padding:14px 18px;cursor:pointer;font-weight:600;\"><strong>Which German hospitals are already using AI diagnostics?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">Asklepios is using the AI system Aidoc in over 25 hospitals for CT analysis (funded by KHZG). The Vara-PRAIM study at German breast cancer centers increased the detection rate by 17.6% among 463,094 women examined. The G-BA project xR.AI promotes the regular use of AI in radiology.<\/p>\n<\/details>\n\n<details style=\"border:1px solid #e9ecef;border-radius:6px;background:#f8f9fa;margin-bottom:8px;\">\n<summary style=\"padding:14px 18px;cursor:pointer;font-weight:600;\"><strong>How big is the market for AI in healthcare?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">The global market was worth 21.66 billion US dollars in 2025 and is expected to grow to over 110 billion US dollars by 2030 (CAGR 38.6%, MarketsandMarkets). PwC Strategy&#038; estimates the European potential at 203 billion US dollars by 2030.<\/p>\n<\/details>\n\n<div class=\"evm-styled-box\" style=\"background:#fff5f5;border-radius:8px;padding:20px 24px;margin:24px 0;border-top:3px solid #c0392b;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;font-size:1.05em;\">Editor&#8217;s Picks<\/h2>\n<ul>\n<li><a href=\"\/?p=84953\">More than every second person can imagine a second opinion from &#8220;Dr. AI&#8221;<\/a><\/li>\n<li><a href=\"https:\/\/mybusinessfuture.com\/en\/hospital-epa-sanctions-april\/\">ePA in hospitals: Only 40 percent are piloting &#8211; and sanctions are looming from April<\/a><\/li>\n<li><a href=\"https:\/\/mybusinessfuture.com\/en\/hospital-digitalization-synaforce-connects-care\/\">From legacy systems to networked care: How synaforce is transforming hospitals<\/a><\/li>\n<\/ul>\n<\/div>\n\n<div class=\"evm-styled-box\" style=\"background:#fff5f5;border-radius:8px;padding:20px 24px;margin:24px 0;border-top:3px solid #c0392b;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;font-size:1.05em;\">More from the MBF Media Network<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.securitytoday.de\/2026\/02\/18\/medizinprodukte-cybersecurity-mdr-iec-62304-reboot-2026\/\">SecurityToday: Medical device cybersecurity &#8211; MDR and IEC 62304 in practice<\/a><\/li>\n<li><a href=\"https:\/\/www.cloudmagazin.com\/2026\/01\/30\/ki-cloud-regulierung-ai-act-risikoklassen\/\">cloudmagazin: AI cloud regulation &#8211; What the AI Act means for providers<\/a><\/li>\n<li><a href=\"https:\/\/www.digital-chiefs.de\/en\/cios-unter-druck-warum-62-prozent-bei-ki-governance-kompromittieren\/\">Digital Chiefs: CIOs under pressure &#8211; Why 62 percent compromise on AI governance<\/a><\/li>\n<\/ul>\n<\/div>\n\n<p style=\"text-align:right;font-style:italic;color:#888;font-size:0.85em;\">Source title image: Pexels \/ MART PRODUCTION (px:7089623)<\/p>\n\n\n<div class=\"evm-synaforce-cluster-links\" data-evm-synaforce-cluster=\"1\">\n<h2>More on this synaforce topic<\/h2>\n  <p>Further classifications, services, and practical examples are bundled by <a href=\"https:\/\/www.synaforce.com\/?utm_source=mbf-media&amp;utm_medium=fachartikel&amp;utm_campaign=synaforce-2026\" rel=\"noopener\" target=\"_blank\">synaforce on IT solutions for the healthcare sector<\/a>.<\/p>\n  <ul>\n  <li><a href=\"https:\/\/www.cloudmagazin.com\/en\/2025\/11\/28\/lunilog-digital-future-for-technical-inspections\/\">LuniLog &#8211; The digital future for technical inspections<\/a><\/li>\n  <li><a href=\"https:\/\/mybusinessfuture.com\/en\/hospital-epa-sanctions-april\/\">Hospital: ePA sanctions from April &#8211; Act now<\/a><\/li>\n  <\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>time By the end of 2025, the US FDA had approved exactly 1,451 AI-powered medical devices &#8211; 295 of them in the past year alone. In Europe, there isn&#8217;t even a comparable public database. While US clinics are using AI diagnostics as part of their standard operations, German hospitals are working with [&hellip;]<\/p>\n","protected":false},"author":205,"featured_media":92736,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"ai-powered","_yoast_wpseo_title":"1,451 AI Medical Devices Approved in the U.S.","_yoast_wpseo_metadesc":"The U.S. has approved 1,451 AI medical devices. Europe doesn't even maintain a central list. 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