Titre : Hyperesthésie

Hyperesthésie : Questions médicales fréquentes

Termes MeSH sélectionnés :

Deep Learning
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"https://questionsmedicales.fr/mesh/D006941?mesh_terms=Deep+Learning&page=1000#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Hyperesthésie", "description": "Quelles complications peuvent survenir avec l'hyperesthésie ?\nL'hyperesthésie peut-elle entraîner des blessures ?\nY a-t-il un risque de dépendance aux médicaments ?\nL'hyperesthésie peut-elle affecter les relations sociales ?\nDes complications psychologiques sont-elles possibles ?", "url": "https://questionsmedicales.fr/mesh/D006941?mesh_terms=Deep+Learning&page=1000#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Hyperesthésie", "description": "Quels sont les facteurs de risque de l'hyperesthésie ?\nL'âge influence-t-il le risque d'hyperesthésie ?\nLes antécédents familiaux jouent-ils un rôle ?\nLe sexe influence-t-il le risque d'hyperesthésie ?\nLes maladies chroniques augmentent-elles le risque ?", "url": "https://questionsmedicales.fr/mesh/D006941?mesh_terms=Deep+Learning&page=1000#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer l'hyperesthésie ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Le diagnostic repose sur l'évaluation clinique des symptômes et des antécédents médicaux." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour l'hyperesthésie ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des tests de sensibilité, comme le test au coton ou à la chaleur, peuvent être effectués." } }, { "@type": "Question", "name": "L'hyperesthésie est-elle liée à d'autres conditions ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle peut être associée à des neuropathies, des douleurs chroniques ou des troubles neurologiques." } }, { "@type": "Question", "name": "Quels médecins consultent pour l'hyperesthésie ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les neurologues, les médecins généralistes et les spécialistes de la douleur sont concernés." } }, { "@type": "Question", "name": "L'hyperesthésie peut-elle être confondue avec d'autres troubles ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle peut être confondue avec l'allodynie ou d'autres troubles de la sensibilité." } }, { "@type": "Question", "name": "Quels sont les symptômes de l'hyperesthésie ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent une douleur accrue, une sensibilité au toucher et des sensations anormales." } }, { "@type": "Question", "name": "L'hyperesthésie affecte-t-elle tous les sens ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Non, elle touche principalement le toucher, la douleur et parfois d'autres sensations comme le goût." } }, { "@type": "Question", "name": "L'hyperesthésie peut-elle provoquer de l'anxiété ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la douleur et l'inconfort peuvent entraîner de l'anxiété et affecter la qualité de vie." } }, { "@type": "Question", "name": "Y a-t-il des variations dans les symptômes ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent varier en intensité et en localisation selon les individus." } }, { "@type": "Question", "name": "L'hyperesthésie est-elle constante ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Pas toujours, elle peut être intermittente et dépendre de divers facteurs déclenchants." } }, { "@type": "Question", "name": "Peut-on prévenir l'hyperesthésie ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "La prévention dépend de la cause sous-jacente, mais éviter les traumatismes peut aider." } }, { "@type": "Question", "name": "Les habitudes de vie influencent-elles l'hyperesthésie ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, un mode de vie sain peut réduire le risque de développer des symptômes d'hyperesthésie." } }, { "@type": "Question", "name": "Le stress peut-il aggraver l'hyperesthésie ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress peut exacerber les symptômes, rendant la gestion plus difficile." } }, { "@type": "Question", "name": "Les exercices physiques aident-ils à prévenir l'hyperesthésie ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exercice régulier peut améliorer la circulation et réduire la sensibilité." } }, { "@type": "Question", "name": "Les soins préventifs sont-ils importants ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des consultations régulières peuvent aider à identifier et traiter les problèmes précocement." } }, { "@type": "Question", "name": "Quels traitements sont disponibles pour l'hyperesthésie ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements incluent des médicaments, la thérapie physique et des approches psychologiques." } }, { "@type": "Question", "name": "Les médicaments peuvent-ils soulager l'hyperesthésie ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des analgésiques, des anticonvulsivants ou des antidépresseurs peuvent être prescrits." } }, { "@type": "Question", "name": "La thérapie physique aide-t-elle l'hyperesthésie ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle peut améliorer la fonction et réduire la sensibilité par des exercices adaptés." } }, { "@type": "Question", "name": "Les approches psychologiques sont-elles efficaces ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la thérapie cognitivo-comportementale peut aider à gérer la douleur et l'anxiété." } }, { "@type": "Question", "name": "Y a-t-il des remèdes naturels pour l'hyperesthésie ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Certaines personnes trouvent un soulagement avec des techniques de relaxation ou des plantes médicinales." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir avec l'hyperesthésie ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications incluent des troubles de l'humeur, des troubles du sommeil et une qualité de vie diminuée." } }, { "@type": "Question", "name": "L'hyperesthésie peut-elle entraîner des blessures ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une hypersensibilité peut conduire à des blessures accidentelles dues à une réaction excessive." } }, { "@type": "Question", "name": "Y a-t-il un risque de dépendance aux médicaments ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains traitements peuvent entraîner une dépendance, nécessitant une surveillance étroite." } }, { "@type": "Question", "name": "L'hyperesthésie peut-elle affecter les relations sociales ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la douleur et l'inconfort peuvent limiter les interactions sociales et affecter les relations." } }, { "@type": "Question", "name": "Des complications psychologiques sont-elles possibles ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'hyperesthésie peut entraîner de l'anxiété, de la dépression et d'autres troubles psychologiques." } }, { "@type": "Question", "name": "Quels sont les facteurs de risque de l'hyperesthésie ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent des antécédents de blessures, des maladies neurologiques et le stress." } }, { "@type": "Question", "name": "L'âge influence-t-il le risque d'hyperesthésie ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines conditions liées à l'âge peuvent augmenter le risque d'hyperesthésie." } }, { "@type": "Question", "name": "Les antécédents familiaux jouent-ils un rôle ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des antécédents familiaux de troubles neurologiques peuvent augmenter le risque." } }, { "@type": "Question", "name": "Le sexe influence-t-il le risque d'hyperesthésie ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines études montrent que les femmes peuvent être plus susceptibles de développer l'hyperesthésie." } }, { "@type": "Question", "name": "Les maladies chroniques augmentent-elles le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des maladies comme le diabète ou la fibromyalgie peuvent accroître le risque d'hyperesthésie." } } ] } ] }

Sources (10000 au total)

Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis.

Endobronchial intervention requires detailed modeling of pulmonary anatomical substructure, such as lung airway and artery-vein maps, which are commonly extracted from non-contrast computed tomography... A multi-task framework is proposed to simultaneously generate three segmentation maps and synthesize CECTs. We first design a collaborative learning model with tissue knowledge interaction for lung ai... Extensive experiments were conducted to evaluate the performance of the proposed framework based on three datasets (90 NCCTs for the airway task, 55 NCCTs for the artery-vein task and 100 CECTs for th... This study demonstrates the model potential in multi-task learning that integrates anatomically relevant segmentation and performs NCCT to CECT translation. Such an interaction approach promotes mutua...

Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure.

A deep learning (DL) model based on a chest x-ray was reported to predict elevated pulmonary artery wedge pressure (PAWP) as heart failure (HF).... The aim of this study was to (1) investigate the role of probability of elevated PAWP for the prediction of clinical outcomes in association with other parameters, and (2) to evaluate whether probabil... We evaluated 192 patients hospitalized with HF. We used a previously developed AI model to predict HF and calculated probability of elevated PAWP. Readmission following HF and cardiac mortality were t... Probability of elevated PAWP was associated with diastolic function by echocardiography. During a median follow-up period of 58 months, 57 individuals either died or were readmitted. Probability of el... This study showed the potential of using a DL model on a chest x-ray to predict PAWP and its ability to add prognostic information to other conventional clinical prognostic factors in HF. The results ...

Detection of Paroxysmal Atrial Fibrillation from Dynamic ECG Recordings Based on a Deep Learning Model.

Atrial fibrillation (AF) is one of the most common arrhythmias clinically. Aging tends to increase the risk of AF, which also increases the burden of other comorbidities, including coronary artery dis... A deep learning model was used to detect atrial fibrillation. Here, a distinction was not made between AF and atrial flutter (AFL), both of which manifest as a similar pattern on an electrocardiogram ... The data used for training were obtained from the CPSC2021 Challenge, and were collected using dynamic ECG devices. Tests on four public datasets validated the availability of the proposed method. The...

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

There is growing concern that male reproduction is affected by environmental chemicals. One way to determine the adverse effect of environmental pollutants is to use wild animals as monitors and evalu... Testicular tissue consists of seminiferous tubules. Segmenting the epithelial layer of the seminiferous tubule is a prerequisite for developing automated methods to detect abnormalities in tissue. We ... We applied the proposed method for the two-class problem, where the epithelial layer of the tubule is the target class. The... The pretrained ResNet-34 in the encoder and attention block suggested in the decoder result in better segmentation and generalization. The proposed method can be applied to testicular tissue images fr...

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

There is growing concern that male reproduction is affected by environmental chemicals. One way to determine the adverse effect of environmental pollutants is to use wild animals as monitors and evalu... Testicular tissue consists of seminiferous tubules. Segmenting the epithelial layer of the seminiferous tubule is a prerequisite for developing automated methods to detect abnormalities in tissue. We ... We applied the proposed method for the two-class problem, where the epithelial layer of the tubule is the target class. The... The pretrained ResNet-34 in the encoder and attention block suggested in the decoder result in better segmentation and generalization. The proposed method can be applied to testicular tissue images fr...

Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer.

Deep learning-based models have been actively investigated for various aspects of radiotherapy. However, for cervical cancer, only a few studies dealing with the auto-segmentation of organs-at-risk (O... A total of 180 abdominopelvic computed tomography images were included (training set, 165; validation set, 15). Geometric indices such as the Dice similarity coefficient (DSC) and the 95% Hausdorff di... The correlation between the manual and auto-segmented contours was acceptable for the anorectum, bladder, spinal cord, cauda equina, right and left femoral heads, bowel bag, uterocervix, liver, and le... The proposed deep learning-based auto-segmentation model may be an efficient tool for patients with cervical cancer undergoing radiotherapy. Although the current model may not completely replace human...