{"id":97757,"date":"2026-04-23T00:12:10","date_gmt":"2026-04-23T00:12:10","guid":{"rendered":"https:\/\/mybusinessfuture.com\/1-451-ai-powered-medical-devices-cleared-in-the-u-s-europe\/"},"modified":"2026-04-23T00:12:10","modified_gmt":"2026-04-23T00:12:10","slug":"1-451-ai-powered-medical-devices-cleared-in-the-u-s-europe","status":"publish","type":"post","link":"https:\/\/mybusinessfuture.com\/en\/1-451-ai-powered-medical-devices-cleared-in-the-u-s-europe\/","title":{"rendered":"1,451 AI-Powered Medical Devices Cleared in the U.S. \u2013 Europe Lacks Even a Basic List"},"content":{"rendered":"\n<p style=\"display:inline-block;background:#F21F05;color:#fff;padding:4px 14px;border-radius:20px;font-size:0.85em;margin-bottom:18px;\">5 min read<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\"><strong>By end of 2025, the U.S. Food and Drug Administration (FDA) had approved exactly 1,451 AI-based medical devices \u2014 295 of them in 2025 alone. In Europe, no comparable public database exists. While American clinics deploy AI diagnostic tools on a daily basis, German hospitals rely on isolated solutions and wait for the EU AI Act to take hold \u2014 its requirements for high-risk systems won&#8217;t take effect until 2027. A status report.<\/strong><\/p>\n\n<div style=\"background:#fafafa;border-left:4px solid #F21F05;padding:20px 24px;margin:32px 0;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-based medical devices cleared in the U.S.:<\/strong> 295 in 2025 alone, 76% in radiology. GE HealthCare leads the field with 120 clearances (The Imaging Wire, March 2026).<\/li>\n<li><strong>No tracking in Europe:<\/strong> There is no public database listing CE-marked AI-based medical devices. At least 219 such devices are estimated to be on the market (January 2025 data).<\/li>\n<li><strong>Only 2.4% validated by randomised trial:<\/strong> Of 903 AI-based medical devices reviewed by the FDA, 24.1% had no clinical studies at all. Just 2.4% were validated through a randomised controlled trial (JAMA Network Open, 2025).<\/li>\n<li><strong>DACH clinics are already deploying AI:<\/strong> Asklepios uses Aidoc across more than 25 facilities; the Vara-PRAIM study improved breast cancer detection by 17.6% in 463,094 women.<\/li>\n<li><strong>AI Act high-risk deadline: August 2027.<\/strong> Until then, AI-based medical systems must fully comply with requirements on risk management, data quality, and human oversight.<\/li>\n<\/ul>\n<\/div>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">295 authorizations in one year: what the FDA data actually reveals<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Since 2017, the FDA has maintained a public database tracking every AI-based medical device that has received market authorization. The numbers tell a clear story: from 29 approvals in 2017 to 295 in 2025 \u2014 a new record that comfortably surpasses the previous high of 223 set just one year earlier.<\/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-based medical devices authorized by the FDA (cumulative through 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 FDA-authorized AI medical devices are in radiology \u2014 a field where pattern recognition across large imaging datasets performs especially well. GE HealthCare leads the rankings with 120 authorizations, followed by Siemens Healthineers with 89. The fact that two of the top three manufacturers have European roots makes the regulatory asymmetry between the United States and the European Union all the more striking.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Yet each authorization does not automatically translate into proven clinical utility. An analysis published in <em>JAMA Network Open<\/em> (April 2025), covering 903 FDA-authorized AI medical devices, arrived at a sobering conclusion: 24.1% had no clinical validation study whatsoever. Only 2.4% had been tested in a randomized controlled trial, and 8.1% in a prospective trial. That means roughly 90% of devices relied on retrospective data \u2014 or no clinical evidence at all.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">This puts the figure of 1,451 FDA authorizations in perspective. As a measure of market momentum, it is impressive. As a quality benchmark, it falls short. For hospital procurement teams evaluating an AI-based system, FDA clearance alone is not a sufficient criterion. What matters far more is prospective studies conducted on comparable patient cohorts, along with transparent and reproducible clinical validation within their own care environment.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Europe\u2019s blind spot: no database, no transparency<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">In Europe, no comparable public list exists. Neither the European Medicines Agency (EMA) nor Germany\u2019s Federal Institute for Drugs and Medical Devices (BfArM) maintains a publicly accessible database of AI-based medical devices bearing the CE mark. The European database EUDAMED, intended to ensure transparency, has been in development for years. Some modules will become mandatory from May 2026, but a comprehensive overview of all AI-based products on the European market won\u2019t be available for several more years.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Independent observers estimate there are at least 219 AI-based medical devices with CE marking (data from January 2025). The real figure is likely higher, but no one knows for sure. For hospital buyers facing the question of which AI system to evaluate, this presents a very 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:#F21F05;color:#fff;\">\n<th style=\"padding:12px 16px;text-align:left;\">Criteria<\/th>\n<th style=\"padding:12px 16px;text-align:center;\">United States (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 in development)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;background:#fafafa;\">\n<td style=\"padding:10px 16px;font-weight:600;\">AI-based devices approved<\/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 (estimate)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e9ecef;\">\n<td style=\"padding:10px 16px;font-weight:600;\">Approval speed in 2025<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">295 new devices<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">Unknown (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;\">Mandatory, but flawed<\/td>\n<td style=\"padding:10px 16px;text-align:center;\">Compliant with Medical Device Regulation (MDR) (stricter)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">DACH Clinics Deploy AI\u2014But Only as Isolated Solutions<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Despite regulatory gaps at the European level, some DACH (Germany, Austria, Switzerland) clinics are already actively using AI-powered diagnostic tools. The results are promising\u2014but fragmented.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Asklepios, one of Germany\u2019s largest private hospital operators, has rolled out the Israeli AI system Aidoc across more than 25 facilities. The software analyzes CT scans in real time to detect strokes, intracranial hemorrhages, and vertebral fractures\u2014funded through grants from the Hospital Future Act (KHZG). Its key advantage? Aidoc prioritizes imaging reports, ensuring critical cases are flagged for immediate radiologist review rather than lingering in the queue.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The largest prospective study to date on AI in diagnostics also comes from Germany. The Vara-PRAIM study, published in <em>Nature Medicine<\/em>, analyzed over 463,000 screening mammograms. The result: a 17.6% increase in breast cancer detection rates, alongside a reduced workload for radiologists. It remains the world\u2019s largest prospective study of its kind.<\/p>\n\n<blockquote style=\"border-left:4px solid #F21F05;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. It\u2019s now about how we can successfully bridge the gap from research to routine practice\u2014regulatorily, organizationally, and economically.&#8221;\n<cite style=\"display:block;margin-top:12px;font-size:0.8em;color:#888;font-style:normal;\">\u2014 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 catch? Every deployment is a standalone project. There\u2019s no national standard for integrating AI into hospital information systems, no standardized interfaces, and no central registry showing which clinic uses which system. While the Federal Joint Committee\u2019s (G-BA) Innovation Fund supports systematic AI integration in radiology through the xR.AI project, Germany is still far from widespread adoption.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The consequence? German clinics looking to introduce AI-based diagnostic tools must navigate every step themselves\u2014from product selection to integration into their hospital information system (HIS), to training radiologists. Legal liability questions also remain unresolved at both national and European levels. If an AI system misses a diagnosis and the treating physician relied entirely on it, who bears responsibility? The Medical Devices Regulation (MDR) governs manufacturer liability, but the physician\u2019s duty of care remains intact. In practice, this uncertainty leads many radiologists to avoid using AI findings as a decision-making basis, treating them at most as supplementary information.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">The AI Act comes into force in 2027: What MedTech companies can expect<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The EU\u2019s landmark AI Act officially took effect in August 2024, but medical device manufacturers have been granted a transitional period: full compliance requirements for high-risk AI systems won\u2019t apply until 2 August 2027. Any AI-based system classified as a medical device under the MDR or the In Vitro Diagnostic Medical Devices Regulation (IVDR) is automatically deemed high-risk.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">What this means in practice: manufacturers must implement an AI-specific risk management system, meet stringent data quality and governance standards, produce technical documentation that goes beyond MDR requirements, and embed mechanisms for effective human oversight. The workload is substantial\u2014especially for smaller players.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">There is a glimmer of hope: in November 2025, the European Commission proposed an omnibus regulation aimed at streamlining procedures to reduce overlaps between the AI Act and MDR\/IVDR. Instead of duplicating documentation and undergoing dual conformity assessments, an integrated process should be established. The regulation is expected to be adopted by summer 2026.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">For Germany\u2019s MedTech SMEs\u201493% of the sector employs fewer than 250 people\u2014this is far from an academic concern. In recent years, the MDR alone has already driven some manufacturers to withdraw products from the European market, as certification costs outstripped revenues. If the AI Act adds another layer of bureaucracy, industry consolidation will only accelerate.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Yet the regulation also creates a qualitative edge: AI-powered medical devices that meet both MDR and AI Act requirements will enjoy a trust premium over those cleared only by the FDA. European manufacturers that clear both hurdles can leverage this dual certification as a global differentiator\u2014provided they survive the financial and organisational challenges of the transition period leading up to 2027.<\/p>\n\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Accelerate or fall behind<\/h2>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">The global AI healthcare market was valued at approximately $21.66 billion in 2025 and is projected to exceed $110 billion by 2030\u2014a compound annual growth rate of 38.6% (MarketsandMarkets). PwC Strategy&#038; estimates Europe\u2019s potential at $203 billion.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">Germany boasts strong AI-driven MedTech players, including Siemens Healthineers, Brainomix, Vara, and Merantix. Its clinical research is world-class, as the PRAIM study vividly demonstrates. What\u2019s missing is the bridge between research and routine practice: a European AI database to ensure transparency, a harmonised approval process that doesn\u2019t crush SMEs, and a hospital landscape that treats AI not as a subsidised pilot project but as a standard tool.<\/p>\n\n<p style=\"line-height:1.8;margin-bottom:20px;\">In eight years, the FDA has cleared 1,451 AI-based medical devices while refining its processes. Over the same period, Europe has drafted a regulation whose impact won\u2019t be felt until 2027. Anyone who doesn\u2019t see this lag as a strategic risk hasn\u2019t grasped the market\u2019s 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-based medical devices has the FDA authorized through 2025?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">By the end of 2025, the FDA had authorized a total of 1,451 AI-based medical devices. A record 295 were approved in 2025 alone. 76% relate to radiology, with GE HealthCare leading the field with 120 authorizations.<\/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>Does Europe have a database for AI-based medical devices?<\/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-marked AI-based medical devices. The European EUDAMED database is being rolled out, with certain modules becoming mandatory from May 2026. A comprehensive overview won&#8217;t be available for several more 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 will AI Act requirements apply to medical devices?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">The full high-risk system requirements under the EU AI Act will take effect for AI-based medical systems from 2 August 2027. Systems classified as medical devices under the MDR or IVDR are automatically considered high-risk and will be required to implement AI-specific risk management and meet strict data quality standards.<\/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 clinics are already using AI-based diagnostics?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">Asklepios is deploying the Aidoc AI system across more than 25 clinics for CT scan analysis, funded through the KHZG program. The Vara-PRAIM study, conducted at German breast cancer screening centers, increased detection rates by 17.6% across 463,094 women examined. The G-BA&#8217;s xR.AI project supports the systematic integration 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 large is the healthcare AI market?<\/strong><\/summary>\n<p style=\"padding:14px 20px 18px;color:#495057;line-height:1.7;\">The global market stood at USD 21.66 billion in 2025 and is projected to exceed USD 110 billion by 2030 (CAGR of 38.6%, MarketsandMarkets). PwC Strategy&#038; estimates European potential at USD 203 billion 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 #F21F05;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;font-size:1.05em;\">Recommended by the editors<\/h2>\n<ul>\n<li><a href=\"\/fr\/?p=84953\">More than one in two people consider a second opinion from &#8220;Dr. AI&#8221;<\/a><\/li>\n<li><a href=\"https:\/\/mybusinessfuture.com\/la-epa-a-lhopital-seulement-40-des-etablissements-sont-en-phase-pilote-et-des-sa\/\">Electronic patient records (EPR) in hospitals: only 40% of facilities are testing them &#8211; with penalties set for April<\/a><\/li>\n<li><a href=\"https:\/\/mybusinessfuture.com\/fr\/digitalisation-des-hopitaux-synaforce-connecte-les-soins\/\">From outdated systems to connected care: how synaforce is transforming hospitals<\/a><\/li>\n<\/ul>\n<\/div>\n\n<p style=\"text-align:right;font-style:italic;color:#888;font-size:0.85em;\">Main image source: Pexels \/ MART PRODUCTION (px:7089623)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>5 min read By end of 2025, the U.S. Food and Drug Administration (FDA) had approved exactly 1,451 AI-based medical devices \u2014 295 of them in 2025 alone. In Europe, no comparable public database exists. While American clinics deploy AI diagnostic tools on a daily basis, German hospitals rely on isolated solutions and wait for [&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":"dispositifs m\u00e9dicaux","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Digitalization: Master AI in business. Discover the latest trends and accelerate your digital transformation today!","_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":"","featured_post_sortierung":0,"featured_post":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","footnotes":""},"categories":[1278,2227],"tags":[],"class_list":{"0":"post-97757","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-life-sciences-health-care","9":"entry"},"wpml_language":"en","wpml_translation_of":94387,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>1,451 AI-Powered Medical Devices Cleared in the U.S. \u2013 Europe Lacks Even a Basic List - MyBusinessFuture<\/title>\n<meta name=\"description\" content=\"Digitalization: Master AI in business. 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