{"id":2011,"date":"2023-06-23T20:50:29","date_gmt":"2023-06-23T20:50:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=2011"},"modified":"2023-06-23T21:22:42","modified_gmt":"2023-06-23T21:22:42","slug":"the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/06\/the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools\/","title":{"rendered":"Der britische Gesundheitsdienst NHS plant den Einsatz von KI-gest\u00fctzten Diagnoseverfahren f\u00fcr Lungenkrebs"},"content":{"rendered":"

Der NHS f\u00fchrt landesweit KI-Tools zur Krebsdiagnose ein und demonstriert damit die F\u00e4higkeit der Technologie, die Krebsdiagnose zu beschleunigen.<\/b>\u00a0<\/span><\/p>\n

In einem j\u00fcngste Mitteilung<\/a>Der britische National Health Service (NHS) wird im Rahmen einer 21-Millionen-Pfund-Initiative KI zur Analyse von R\u00f6ntgenbildern einsetzen, um die Krebsdiagnose zu beschleunigen und Wartezeiten zu verk\u00fcrzen.<\/span><\/p>\n

KI-gest\u00fctzte medizinische Diagnoseinstrumente haben sich immer mehr durchgesetzt. In den 2010er Jahren haben KI-Modelle f\u00fcr die Computer-Vision (CV) ihre F\u00e4higkeit unter Beweis gestellt, medizinische Scans \u00e4hnlich wie Menschen zu interpretieren. Im Jahr 2018 haben Forscher von DeepMind, UCL und Moorfields Eye Hospital ein bahnbrechendes KI-Modell entwickelt<\/a> 50 Augenkrankheiten so genau zu diagnostizieren wie ein Arzt. <\/span><\/p>\n

Seitdem hat sich die KI-gest\u00fctzte medizinische Bildgebung und Diagnostik rasant weiterentwickelt, wobei zahlreiche Modelle eine h\u00f6here Genauigkeit als menschliche Spezialisten aufweisen.\u00a0<\/span><\/p>\n

Im Gegensatz zu den oft \u00fcberlasteten Radiologen arbeiten KI unerm\u00fcdlich, entlasten die menschlichen Teams und erm\u00f6glichen ihnen eine bessere Versorgung und Behandlung.\u00a0<\/span><\/p>\n

Am Freitag hat der britische Gesundheitsminister Steve Barclay <\/span>angek\u00fcndigte Pl\u00e4ne<\/span><\/a> f\u00fcr den Einsatz von KI-gest\u00fctzter medizinischer Diagnostik f\u00fcr Lungenkrebs noch vor dem Winter dieses Jahres. Mehr als 20 NHS-Standorte haben bereits mit der Einf\u00fchrung dieser Technologie begonnen. Erste Ergebnisse deuten darauf hin, dass sie 40-mal pr\u00e4ziser sein k\u00f6nnte als herk\u00f6mmliche Verfahren und Ergebnisse in weniger als 30 Sekunden liefert. Monatlich werden in England \u00fcber 600 000 R\u00f6ntgenaufnahmen durchgef\u00fchrt.<\/span><\/p>\n

Dar\u00fcber hinaus werden Krankenh\u00e4user damit beginnen, KI-Technologie f\u00fcr die Schlaganfalldiagnose einzusetzen, was dazu f\u00fchrt, dass die Patienten im Durchschnitt eine Stunde fr\u00fcher behandelt werden und sich die Genesungsrate verdreifacht.<\/span><\/p>\n

Barclay sagte: \"K\u00fcnstliche Intelligenz ver\u00e4ndert bereits die Art und Weise, wie wir die Gesundheitsf\u00fcrsorge bereitstellen, und KI-Tools haben im gesamten NHS bereits einen erheblichen Einfluss auf die fr\u00fchere Diagnose von Krankheiten, was bedeutet, dass die Menschen schneller behandelt werden k\u00f6nnen.\"<\/span><\/p>\n

Gesundheitsbeh\u00f6rden hoffen, dass KI und andere Technologien dem britischen Gesundheitssystem helfen werden, R\u00fcckst\u00e4nde und Personalmangel abzubauen.<\/span><\/p>\n

Der nationale medizinische Direktor des NHS, Professor Stephen Powis, f\u00fcgte hinzu: \"Der NHS nutzt bereits landesweit die Vorteile der KI, um schwere Krankheiten fr\u00fcher zu erkennen und zu behandeln und die Wartelisten besser zu verwalten, damit die Patienten schneller behandelt werden k\u00f6nnen.\"<\/span><\/p>\n

Wie AI in der medizinischen Diagnostik eingesetzt wird<\/span><\/h2>\n

AI Convolutional Neural Networks (CNNs), eine Form von Deep Learning-Modellen, ver\u00e4ndern die medizinische Diagnostik. Die Interpretation von Scans ist keine leichte Aufgabe, und <\/span>Studien beobachten Fehlerquoten<\/span><\/a> von etwa 3 bis 5% oder h\u00f6her, wenn die Radiologen erm\u00fcdet oder \u00fcberlastet sind.\u00a0<\/span><\/p>\n

CNN-Modelle arbeiten \u00e4hnlich wie die Neuronen im menschlichen Gehirn. Sie erkennen grundlegende Merkmale von Scans, wie Kanten oder Texturen, und erkennen komplexere Muster, wie die unterschiedliche Form und Gr\u00f6\u00dfe von Lungenkn\u00f6tchen, die auf Krebs hinweisen k\u00f6nnten.\u00a0<\/span><\/p>\n

Einer der ersten gro\u00dfen Durchbr\u00fcche in der KI-gest\u00fctzten medizinischen Bildgebung war die <\/span>LUNA16 (LUng-Kn\u00f6tchen-Analyse 2016) Wettbewerb<\/span><\/a>in dem die Teilnehmer Methoden zur Erkennung und Diagnose von Lungenkrebs anhand von R\u00f6ntgen- und CT-Bildern entwickelten.\u00a0<\/span><\/p>\n

\"AI
AI-entdeckte Lungenkn\u00f6tchen. Quelle: Natur<\/a>.<\/figcaption><\/figure>\n

Viele der Algorithmen, die aus diesem Wettbewerb hervorgingen, entsprachen den diagnostischen F\u00e4higkeiten ausgebildeter Radiologen - oder \u00fcbertrafen sie sogar.<\/span><\/p>\n

Bald darauf entwickelte sich DeepMind von Google zu einem der wichtigsten Innovatoren im Bereich der medizinischen KI-Bildgebung und setzte die Technologie in Bereichen wie der Erkennung von Augenkrankheiten und der Brustkrebsvorsorge ein. <\/span>DeepMinds <\/span>Alphafold<\/span><\/a> nutzt KI-gest\u00fctzte 3D-Modellierung, um unser Verst\u00e4ndnis der Funktionsweise von Proteinen zu verbessern und die Krebsforschung zu beschleunigen.<\/span><\/p>\n

Nun m\u00f6chte der NHS demonstrieren, wie hochmoderne KI-Medizintechnik in ganzen Gesundheitssystemen eingesetzt werden kann.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Der NHS f\u00fchrt landesweit KI-Tools zur Krebsdiagnose ein und demonstriert damit die F\u00e4higkeit der Technologie, die Krebsdiagnose zu beschleunigen. Der britische National Health Service (NHS) hat k\u00fcrzlich angek\u00fcndigt, dass er im Rahmen einer 21-Millionen-Pfund-Initiative KI zur Analyse von R\u00f6ntgenbildern einsetzen wird, um die Krebsdiagnose zu beschleunigen und Wartezeiten zu verk\u00fcrzen. KI-gest\u00fctzte medizinische Diagnosewerkzeuge haben sich immer mehr durchgesetzt. In den 2010er Jahren haben KI-Computer-Vision-Modelle (CV) ihre F\u00e4higkeit unter Beweis gestellt, medizinische Scans \u00e4hnlich wie ein Mensch zu interpretieren. Im Jahr 2018 entwickelten Forscher von DeepMind, UCL und dem Moorfields Eye Hospital ein bahnbrechendes KI-Modell, das 50 Augenkrankheiten so genau diagnostizieren kann wie ein Mensch.<\/p>","protected":false},"author":2,"featured_media":2012,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,101],"class_list":["post-2011","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-medtech"],"yoast_head":"\nThe UK NHS announces plans to deploy AI-powered lung cancer diagnosis tools | DailyAI<\/title>\n<meta name=\"description\" content=\"Healthcare providers are rolling out AI technologies nationally, demonstrating the technology\u2019s ability to accelerate cancer diagnosis.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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