Titre : Phénylurées

Phénylurées : Questions médicales fréquentes

Termes MeSH sélectionnés :

Deep Learning
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doivent être appliquées ?", "url": "https://questionsmedicales.fr/mesh/D010671?mesh_terms=Deep+Learning&page=4#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Phénylurées", "description": "Quel est le traitement principal pour l'intoxication ?\nDes antidotes existent-ils pour les phénylurées ?\nComment gérer les symptômes neurologiques ?\nLe traitement nécessite-t-il une hospitalisation ?\nY a-t-il des traitements préventifs ?", "url": "https://questionsmedicales.fr/mesh/D010671?mesh_terms=Deep+Learning&page=4#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Phénylurées", "description": "Quelles complications peuvent survenir ?\nLes phénylurées peuvent-elles causer des cancers ?\nY a-t-il des effets sur la reproduction ?\nLes complications sont-elles réversibles ?\nComment surveiller les complications ?", "url": "https://questionsmedicales.fr/mesh/D010671?mesh_terms=Deep+Learning&page=4#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Phénylurées", "description": "Quels sont les principaux facteurs de risque ?\nLes antécédents familiaux jouent-ils un rôle ?\nLes personnes âgées sont-elles plus à risque ?\nLes femmes enceintes doivent-elles être prudentes ?\nLes habitudes de vie influencent-elles le risque ?", "url": "https://questionsmedicales.fr/mesh/D010671?mesh_terms=Deep+Learning&page=4#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer une intoxication aux phénylurées ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Un diagnostic se fait par des tests sanguins et l'évaluation des symptômes cliniques." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour détecter les phénylurées ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des analyses de sang et d'urine peuvent être effectuées pour détecter ces composés." } }, { "@type": "Question", "name": "Quels symptômes indiquent une exposition aux phénylurées ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent des troubles neurologiques, des éruptions cutanées et des nausées." } }, { "@type": "Question", "name": "Les phénylurées sont-elles détectables par imagerie ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Non, l'imagerie ne détecte pas les phénylurées, des tests biochimiques sont nécessaires." } }, { "@type": "Question", "name": "Quel rôle joue l'historique médical dans le diagnostic ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "L'historique médical aide à identifier les expositions potentielles aux phénylurées." } }, { "@type": "Question", "name": "Quels sont les symptômes courants des phénylurées ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent des maux de tête, des vertiges et des troubles digestifs." } }, { "@type": "Question", "name": "Les phénylurées provoquent-elles des réactions allergiques ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent provoquer des éruptions cutanées et des démangeaisons chez certains individus." } }, { "@type": "Question", "name": "Peut-on avoir des symptômes neurologiques ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des symptômes comme des convulsions ou des troubles de la coordination peuvent survenir." } }, { "@type": "Question", "name": "Les symptômes varient-ils selon la dose ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la gravité des symptômes dépend de la dose et de la durée d'exposition." } }, { "@type": "Question", "name": "Y a-t-il des symptômes à long terme ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des effets neurologiques ou rénaux peuvent persister après une exposition prolongée." } }, { "@type": "Question", "name": "Comment prévenir l'exposition aux phénylurées ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Évitez les produits chimiques contenant des phénylurées et portez des équipements de protection." } }, { "@type": "Question", "name": "Les travailleurs doivent-ils être formés ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une formation sur les risques et les mesures de sécurité est essentielle." } }, { "@type": "Question", "name": "Des contrôles réguliers sont-ils nécessaires ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des contrôles réguliers de l'environnement de travail peuvent réduire les risques." } }, { "@type": "Question", "name": "Les enfants sont-ils plus à risque ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les enfants peuvent être plus sensibles aux effets des phénylurées." } }, { "@type": "Question", "name": "Quelles mesures de sécurité doivent être appliquées ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Utilisez des gants, des masques et des lunettes de protection lors de la manipulation." } }, { "@type": "Question", "name": "Quel est le traitement principal pour l'intoxication ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Le traitement consiste en l'élimination de l'exposition et le soutien symptomatique." } }, { "@type": "Question", "name": "Des antidotes existent-ils pour les phénylurées ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Il n'existe pas d'antidote spécifique, le traitement est symptomatique." } }, { "@type": "Question", "name": "Comment gérer les symptômes neurologiques ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Des médicaments anticonvulsivants peuvent être prescrits pour contrôler les convulsions." } }, { "@type": "Question", "name": "Le traitement nécessite-t-il une hospitalisation ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Une hospitalisation peut être nécessaire en cas de symptômes graves ou persistants." } }, { "@type": "Question", "name": "Y a-t-il des traitements préventifs ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Éviter l'exposition aux phénylurées est la meilleure prévention contre l'intoxication." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications neurologiques, rénales ou hépatiques peuvent se développer après exposition." } }, { "@type": "Question", "name": "Les phénylurées peuvent-elles causer des cancers ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Certaines études suggèrent un lien potentiel avec des cancers, mais des recherches sont nécessaires." } }, { "@type": "Question", "name": "Y a-t-il des effets sur la reproduction ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Des effets néfastes sur la reproduction ont été observés dans certains modèles animaux." } }, { "@type": "Question", "name": "Les complications sont-elles réversibles ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être réversibles, mais d'autres peuvent être permanentes." } }, { "@type": "Question", "name": "Comment surveiller les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Des examens médicaux réguliers et des tests de fonction organique sont recommandés." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "L'exposition professionnelle, l'utilisation de produits chimiques et la génétique sont des facteurs clés." } }, { "@type": "Question", "name": "Les antécédents familiaux jouent-ils un rôle ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des antécédents familiaux de maladies peuvent augmenter le risque d'effets néfastes." } }, { "@type": "Question", "name": "Les personnes âgées sont-elles plus à risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les personnes âgées peuvent être plus vulnérables aux effets des phénylurées." } }, { "@type": "Question", "name": "Les femmes enceintes doivent-elles être prudentes ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les femmes enceintes doivent éviter l'exposition en raison des risques pour le fœtus." } }, { "@type": "Question", "name": "Les habitudes de vie influencent-elles le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des habitudes de vie saines peuvent réduire le risque d'effets néfastes." } } ] } ] }

Sources (10000 au total)

DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy.

Treatment and outcomes of acute stroke have been revolutionised by mechanical thrombectomy. Deep learning has shown great promise in diagnostics but applications in video and interventional radiology ... All patients who underwent DSA for anterior circulation acute ischaemic stroke between 2012 and 2019 were included. Consecutive normal studies were included to balance classes. An external validation ... In total, 1024 videos comprising 287 patients were included (44 for EV). Occlusion identification was achieved with 100% sensitivity and 91.67% specificity (EV 91.30% and 81.82%). Accuracy of location... Our model can successfully identify normal DSA studies from those with LVO and classify thrombectomy outcome and solve a clinical radiology problem with two temporal elements (dynamic video and pre an... • DEEP MOVEMENT represents a novel application of a model applied to acute stroke imaging to handle two types of temporal complexity, dynamic video and pre and post intervention. • The model takes as ...

An interpretable deep learning model for detecting

Determining the status of breast cancer susceptibility genes (... A total of 319 histopathological slides from 254 breast cancer patients were included, comprising two dependent cohorts. Following image pre-processing, 633,484 tumor tiles from the training dataset w... BiAMIL achieved AUC values of 0.819 (95% CI [0.673-0.965]) in the internal test set, and 0.817 (95% CI [0.712-0.923]) in the external test set. To explore the relationship between... An interpretable deep neural network model based on the attention mechanism was developed to predict the...

Multimodal deep learning model on interim [

The prediction of primary treatment failure (PTF) is necessary for patients with diffuse large B-cell lymphoma (DLBCL) since it serves as a prominent means for improving front-line outcomes. Using int... Initially, 205 DLBCL patients undergoing interim [... The final model with contrastive objective optimization, named the contrastive hybrid learning model, performed best, with an accuracy of 91.22% and an area under the receiver operating characteristic... The proposed model achieved good performance, validated the predictive value of interim PET/CT, and holds promise for directing individualized clinical treatment.... • The proposed multimodal models achieved accurate prediction of primary treatment failure in DLBCL patients. • Using an appropriate feature-level fusion strategy can make the same class close to each...

Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation.

We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segment... We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and... The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.... Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion ...