{"id":776,"date":"2022-12-16T18:53:26","date_gmt":"2022-12-16T17:53:26","guid":{"rendered":"https:\/\/www.linkidoc.fr\/blog\/2022\/12\/16\/lia-dans-les-soins-de-sante-ou-ca-va-en-2023-ml-nlp-et-plus\/"},"modified":"2022-12-16T18:53:26","modified_gmt":"2022-12-16T17:53:26","slug":"lia-dans-les-soins-de-sante-ou-ca-va-en-2023-ml-nlp-et-plus","status":"publish","type":"post","link":"https:\/\/www.linkidoc.fr\/blog\/2022\/12\/16\/lia-dans-les-soins-de-sante-ou-ca-va-en-2023-ml-nlp-et-plus\/","title":{"rendered":"L’IA dans les soins de sant\u00e9, o\u00f9 \u00e7a va en 2023\u00a0: ML, NLP et plus"},"content":{"rendered":"
\n

Le Dr Taha Kass-Hout, vice-pr\u00e9sident de l’IA pour la sant\u00e9 et CMO chez Amazon Web Services, note que 97 % des donn\u00e9es de sant\u00e9 ne sont pas utilis\u00e9es car elles ne sont pas structur\u00e9es. Cela inclut les radiographies et les dossiers m\u00e9dicaux joints aux diapositives. L’apprentissage automatique (ML) permet aux professionnels de la sant\u00e9 de structurer et d’indexer ces informations. Amazon HealthLake est un service qui permet de rechercher et d’interroger des donn\u00e9es non structur\u00e9es.<\/p>\n

De plus, le ML et le traitement du langage naturel (NLP) aident les organisations de soins de sant\u00e9 \u00e0 comprendre la signification des donn\u00e9es cliniques, ajoute-t-il.<\/p>\n

Par exemple, l’h\u00f4pital pour enfants de Philadelphie s’est tourn\u00e9 vers les services AWS AI pour int\u00e9grer et faciliter le partage de donn\u00e9es g\u00e9nomiques, cliniques et d’imagerie afin d’aider les chercheurs \u00e0 analyser les maladies, \u00e0 d\u00e9velopper de nouvelles hypoth\u00e8ses et \u00e0 faire des d\u00e9couvertes.<\/p>\n

Documentation AI Scours pour les \u00e9tudes sur le cancer<\/h2>\n

Le Fred Hutchinson Cancer Center de Seattle a utilis\u00e9 la PNL dans Amazon Comprehend Medical pour examiner des montagnes de donn\u00e9es d’enregistrements cliniques non structur\u00e9es \u00e0 grande \u00e9chelle afin d’associer rapidement les patients aux \u00e9tudes cliniques sur le cancer. La PNL a aid\u00e9 les m\u00e9decins \u00e0 examiner environ 10 000 dossiers m\u00e9dicaux par heure pour trouver des patients avec les bons crit\u00e8res d’inclusion, supprimant ainsi le \u00ab travail lourd \u00bb, explique Kass-Hout.<\/p>\n

\u00ab\u00a0Il y a des crit\u00e8res d’inclusion laborieux \u00e0 passer, o\u00f9 vous devez identifier de nombreuses caract\u00e9ristiques sur le patient pour d\u00e9terminer s’il r\u00e9pond aux crit\u00e8res pour \u00eatre inscrit dans un essai clinique. Souvent, vous devez lire l’int\u00e9gralit\u00e9 des ant\u00e9c\u00e9dents m\u00e9dicaux \u00bb, explique Kass-Hout.<\/p>\n

Selon Kass-Hout, moins de 5\u00a0% des patients correspondent aux crit\u00e8res de recrutement pour ces types d’essais cliniques, en partie \u00e0 cause des difficult\u00e9s d’identification des bonnes informations parmi les donn\u00e9es non structur\u00e9es.<\/p>\n

LIRE LA SUITE: <\/strong>Les directives de soins cliniques bas\u00e9es sur l’IA peuvent conduire \u00e0 de meilleurs r\u00e9sultats pour les patients.<\/em><\/p>\n

L’IA aide \u00e0 diagnostiquer et \u00e0 g\u00e9rer les maladies r\u00e9nales<\/h2>\n

L’IA aide les m\u00e9decins \u00e0 diagnostiquer et \u00e0 g\u00e9rer les maladies r\u00e9nales et \u00e0 pr\u00e9dire les trajectoires des patients atteints d’insuffisance r\u00e9nale, d\u00e9clare le Dr Peter Kotanko, responsable de la g\u00e9n\u00e9ration de preuves biom\u00e9dicales au Renal Research Institute (RRI) et professeur adjoint de m\u00e9decine pour la n\u00e9phrologie \u00e0 l’Icahn School of Medicine \u00e0 Mount Sina\u00ef \u00e0 New York.<\/p>\n

Kotanko indique que les n\u00e9phrologues et d’autres disciplines m\u00e9dicales utilisent l’IA et le ML pour \u00e9valuer les images de radiologie ou d’histopathologie, ainsi que les images prises par les smartphones pour diagnostiquer l’\u00e9tat d’un patient.<\/p>\n

\u00ab\u00a0L’IA s’appuie non seulement sur des donn\u00e9es de laboratoire structur\u00e9es ou des donn\u00e9es stock\u00e9es dans des dossiers de sant\u00e9 \u00e9lectroniques, mais utilise \u00e9galement, bien s\u00fbr, des outils tels que le traitement du langage naturel pour extraire des informations des textes non structur\u00e9s\u00a0\u00bb, a-t-il d\u00e9clar\u00e9.<\/p>\n

Pendant ce temps, le ML est utilis\u00e9 pour pr\u00e9dire les r\u00e9sultats des patients, y compris l’hospitalisation, et pour identifier les patients susceptibles d’avoir le COVID-19. RRI utilise l’apprentissage en profondeur pour analyser les images des smartphones ou des tablettes afin d’\u00e9valuer l’acc\u00e8s vasculaire art\u00e9rio-veineux d’un patient, qui est utilis\u00e9 pour connecter un patient \u00e0 la machine de dialyse.<\/p>\n

\u00ab\u00a0Un r\u00e9seau neuronal convolutif, ou CNN, analyse ces types de donn\u00e9es et renvoie une \u00e9valuation respective \u00e0 l’utilisateur en une seconde environ\u00a0\u00bb, explique Kotanko. \u00ab\u00a0Les images sont envoy\u00e9es depuis la tablette ou le smartphone vers le cloud o\u00f9 un CNN re\u00e7oit les donn\u00e9es, puis fournit la r\u00e9ponse correspondante.\u00a0\u00bb<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Le Dr Taha Kass-Hout, vice-pr\u00e9sident de l’IA pour la sant\u00e9 et CMO chez Amazon Web Services, note que 97 %<\/p>\n","protected":false},"author":1,"featured_media":777,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1121,34,12,68,1122,337,44,18],"class_list":["post-776","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","tag-ca","tag-dans","tag-les","tag-lia","tag-nlp","tag-ou","tag-sante","tag-soins","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-50"],"yoast_head":"\nL'IA dans les soins de sant\u00e9, o\u00f9 \u00e7a va en 2023\u00a0: ML, NLP et plus - Blog Linkidoc : consultant e-sant\u00e9<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.linkidoc.fr\/blog\/2022\/12\/16\/lia-dans-les-soins-de-sante-ou-ca-va-en-2023-ml-nlp-et-plus\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"L'IA dans les soins de sant\u00e9, o\u00f9 \u00e7a va en 2023\u00a0: ML, NLP et plus - 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