questionsmedicales.fr
Maladies du système immunitaire
Maladies auto-immunes
Maladie de Basedow
Ophtalmopathie basedowienne
Ophtalmopathie basedowienne : Questions médicales fréquentes
Termes MeSH sélectionnés :
Unified Medical Language System
Diagnostic
5
Ophtalmopathie
Maladie de Basedow
Thyroïdite
Imagerie par résonance magnétique
Échographie
Thyroïde
Exophtalmie
Diplopie
Paupière
Hormones thyroïdiennes
Anticorps
Thyroïde
Diagnostic différentiel
Exophtalmie
Maladies oculaires
Symptômes
5
Exophtalmie
Sécheresse oculaire
Douleur oculaire
Diplopie
Muscles oculaires
Vision
Vision
Vision floue
Troubles visuels
Paupières
Inflammation
Gonflement
Symptômes
Variabilité
Maladie
Prévention
5
Prévention
Maladie de Basedow
Thyroïde
Tabagisme
Risque
Symptômes
Stress
Gestion du stress
Santé
Examens médicaux
Détection précoce
Santé oculaire
Alimentation
Santé thyroïdienne
Santé oculaire
Traitements
5
Corticostéroïdes
Radiothérapie
Chirurgie
Corticostéroïdes
Inflammation
Symptômes
Chirurgie
Exophtalmie
Vision
Radiothérapie
Tissus orbitaires
Inflammation
Larmes artificielles
Lunettes prismatiques
Traitements non médicamenteux
Complications
5
Complications
Perte de vision
Nerfs optiques
Perte de vision
Récupération
Gravité
Esthétique
Exophtalmie
Paupières
Nerfs optiques
Inflammation
Vision
Complications
Suivi médical
Traitement
Facteurs de risque
5
Facteurs de risque
Hyperthyroïdie
Antécédents familiaux
Antécédents familiaux
Maladies thyroïdiennes
Risque
Stress
Facteurs de risque
Symptômes
Femmes
Risque
Ophtalmopathie
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"@type": "Question",
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"@type": "Question",
"name": "La perte de vision est-elle réversible ?",
"position": 22,
"acceptedAnswer": {
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"position": 23,
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"name": "Les nerfs optiques peuvent-ils être affectés ?",
"position": 24,
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}
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{
"@type": "Question",
"name": "Y a-t-il des risques de complications après traitement ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des complications peuvent survenir même après un traitement, nécessitant un suivi."
}
},
{
"@type": "Question",
"name": "Quels sont les principaux facteurs de risque ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les facteurs incluent l'hyperthyroïdie, le tabagisme et des antécédents familiaux."
}
},
{
"@type": "Question",
"name": "L'âge influence-t-il le risque ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, le risque augmente généralement avec l'âge, surtout chez les femmes de 30 à 50 ans."
}
},
{
"@type": "Question",
"name": "Les antécédents familiaux jouent-ils un rôle ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, un historique familial de maladies thyroïdiennes augmente le risque d'ophtalmopathie."
}
},
{
"@type": "Question",
"name": "Le stress peut-il être un facteur de risque ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, le stress peut déclencher ou aggraver les symptômes de l'ophtalmopathie."
}
},
{
"@type": "Question",
"name": "Les femmes sont-elles plus à risque ?",
"position": 30,
"acceptedAnswer": {
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Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale
Validation scientifique effectuée le 23/03/2025
Contenu vérifié selon les dernières recommandations médicales
4 publications dans cette catégorie
Affiliations :
University of Health Sciences, Ulucanlar Eye Education and Research Hospital, Ankara, Turkey.
Publications dans "Ophtalmopathie basedowienne" :
4 publications dans cette catégorie
Affiliations :
University of Health Sciences, Ulucanlar Eye Education and Research Hospital, Ankara, Turkey.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
School of Basic Medical Science, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, 563000, China.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Surgical, Medical and Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, China.
The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Biomedical Commercialization Center, Taipei Medical University, Taipei 11031, Taiwan.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
School of Medicine, National Yang Ming University, Taipei 11221, Taiwan.
School of Medicine, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, National Taiwan University Hospital, Taipei 100225, Taiwan.
Publications dans "Ophtalmopathie basedowienne" :
3 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, National Taiwan University Hospital, Taipei 100225, Taiwan.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, Changzheng Hospital of Naval Medicine University, Shanghai, China.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Biochemistry and Pharmacogenomics, Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland.
Laboratory of Biochemistry and Clinical Chemistry at the Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Internal Medicine and Endocrinology, Medical University of Warsaw, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Chair and Department of Biochemistry, First Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Otolaryngology, Medical Center for Postgraduate Education, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Otolaryngology, Medical Center for Postgraduate Education, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Chair and Department of Biochemistry, First Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland.
Department of Otolaryngology, Medical Center for Postgraduate Education, Warsaw, Poland.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, Third Xiangya Hospital, Central South University, Yuelu District, 138 Tongzipo Road, Changsha, 410013, Hunan, People's Republic of China.
Publications dans "Ophtalmopathie basedowienne" :
2 publications dans cette catégorie
Affiliations :
Department of Ophthalmology, Third Xiangya Hospital, Central South University, Yuelu District, 138 Tongzipo Road, Changsha, 410013, Hunan, People's Republic of China. weixiong420@csu.edu.cn.
Publications dans "Ophtalmopathie basedowienne" :
Medical entity normalization is an important task for medical information processing. The Unified Medical Language System (UMLS), a well-developed medical terminology system, is crucial for medical en...
Business Process Management (BPM) has been increasingly used in recent years in the healthcare domain to analyze, optimize, harmonize and compare clinical and healthcare processes. The main aim of thi...
Chinese medical entities have not been organized comprehensively due to the lack of well-developed terminology systems, which poses a challenge to processing Chinese medical texts for fine-grained med...
First, Chinese medical entities are translated to English using multiple web-based translation engines. Then, 3 mapping strategies are investigated: (a) string-based, (b) semantic-based, and (c) strin...
The linear combination method based on the SapBERT and term frequency-inverse document frequency bag-of-words models perform the best on all evaluation datasets, with 91.85%, 82.44%, and 78.43% of the...
In our study, we explore strategies for mapping Chinese medical entities to the UMLS and identify a satisfactory linear combination method. Our investigation will facilitate Chinese medical entity nor...
Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, le...
This article describes an unified medical lexicon for Medical Natural Language Processing in Spanish. MedLexSp includes terms and inflected word forms with PoS information and Unified Medical Language...
The lexicon is distributed in a delimiter-separated value file; an XML file with the Lexical Markup Framework; a lemmatizer module for the Spacy and Stanza libraries; and complementary Lexical Record ...
A huge amount of research is carried out nowadays in Artificial Intelligence to propose automated ways to analyse medical data with the aim to support doctors in delivering medical diagnoses. However,...
In this paper, we present a novel full pipeline to generate automatically natural language explanations for medical diagnoses. The proposed solution starts from a clinical case description associated ...
Our goal is to offer AI-assisted educational support framework to form clinical residents to formulate sound and exhaustive explanations for their diagnoses to patients....
To examine (1) how much participation is represented in the benchmark Unified Medical Language System (UMLS) resource, and (2) to what extent that representation reflects the definition of child and y...
We searched and analysed UMLS concepts related to the term "participation." Identified UMLS concepts were rated according to their representation of participation (i.e., attendance, involvement, both)...
363 UMLS concepts were identified. Of those, 68 had at least one English definition, resulting in 81 definitions that were further analysed. Results revealed 2 definitions (2/81; 3%; 2/68 UMLS concept...
The representation of participation within the UMLS is limited and poorly aligned with the contemporary definition of child and youth participation. Expanding ontological resources to represent child ...
Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence and heterogeneous clinical presentations. Unstructured clinical notes contain valuable information for ...
We propose a novel hybrid framework that integrates the Orphanet Rare Disease Ontology (ORDO) and the Unified Medical Language System (UMLS) to create a comprehensive rare disease vocabulary. SemEHR, ...
The proposed hybrid approach demonstrates superior performance compared to traditional NLP systems and standalone LLMs. LLaMA3 and Phi3-mini achieve the highest F1 scores in rare disease identificatio...
The hybrid approach combining dictionary-based NLP tools with LLMs shows great promise for improving rare disease identification from unstructured clinical reports. By leveraging the strengths of both...
In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset that could be exploited with task-specific, fine-...
Handwritten prescriptions and radiological reports: doctors use handwritten prescriptions and radiological reports to give drugs to patients who have illnesses, injuries, or other problems. Clinical t...
Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical note...
PubMed, Scopus, Web of Science, and Embase were searched for English language papers using a combination of the terms concerning "Cancer", "NLP", "Coding", and "Registries" until June 29, 2021. Two re...
Most of the software programs used for concept extraction reported were developed by the researchers (n = 7). Rule-based algorithms were the most frequently used algorithms for developing these progra...
The use of NLP for extracting the concepts and symptoms of cancer has increased in recent years. The rule-based algorithms are well-liked algorithms by developers. Due to these algorithms' high accura...