questionsmedicales.fr
Maladies de la peau et du tissu conjonctif
Maladies de la peau
Dermatoses vasculaires
Dermatoses vasculaires : Questions médicales fréquentes
Termes MeSH sélectionnés :
Speech Recognition Software
Diagnostic
5
Dermatoses vasculaires
Biopsie cutanée
Échographie Doppler
Angiographie
Examens sanguins
Dermatoses vasculaires
Lésions cutanées
Rougeurs
Symptômes
5
Démangeaisons
Lésions cutanées
Saignement
Télangiectasie
Démangeaisons
Dermatoses vasculaires
Prévention
5
Prévention
Facteurs de risque
Vêtements protecteurs
Irritants
Régime alimentaire
Inflammation
Traitements
5
Traitements topiques
Laser
Corticostéroïdes
Inflammation
Chirurgie
Dermatoses vasculaires
Médecine alternative
Consultation médicale
Complications
5
Qualité de vie
Estime de soi
Cancer cutané
Dermatoses vasculaires
Gestion des complications
Suivi médical
Facteurs de risque
5
Facteurs de risque
Antécédents familiaux
Exposition au soleil
Dermatoses vasculaires
Stress
Exacerbation des symptômes
Maladies chroniques
Diabète
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"text": "Éviter les facteurs de risque comme l'exposition au soleil et le tabagisme peut aider."
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"name": "L'hydratation de la peau est-elle importante ?",
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"position": 22,
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"text": "Oui, elles peuvent entraîner des problèmes psychologiques et affecter l'estime de soi."
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"position": 25,
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"name": "Quels sont les principaux facteurs de risque ?",
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{
"@type": "Question",
"name": "Les maladies chroniques augmentent-elles le risque ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines maladies chroniques, comme le diabète, peuvent augmenter le risque de dermatoses."
}
}
]
}
]
}
Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale
Validation scientifique effectuée le 06/03/2025
Contenu vérifié selon les dernières recommandations médicales
2 publications dans cette catégorie
Affiliations :
Pathologist, Dermatopathology Department, Dermatopathologie Bodensee, Friedrichshafen, Germany; and.
Associated Professor, Department of Pathology, University of Freiburg, Freiburg, Germany.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Departments of Bioengineering, University of California.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Departments of Bioengineering, University of California; jmorgan@engr.ucr.edu.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Institute of Pharmacology, University of Bern, Bern, Switzerland.
Department of Clinical Immunology and Allergology, Sechenov University, Moscow, Russia.
Laboratory of Molecular Immunology, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Department of Dermatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. dagmar.simon@insel.ch.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
McGovern Medical School, University of Texas Health Science Center at Houston,Houston, Texas, USA. Electronic address: Ashley.brown@uth.tmc.edu.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA.
Publications dans "Dermatoses vasculaires" :
2 publications dans cette catégorie
Affiliations :
Department of Dermatology, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, USA.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
Klinik für Dermatologie und Venerologie, Universitätsklinikum Freiburg, Hauptstr. 7, 79104, Freiburg, Deutschland. rudolf.happle@uniklinik-freiburg.de.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Medicine, Shanghai University, Shanghai 200444, China.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China. yuanyuan_liu@shu.edu.cn.
Wenzhou Institute of Shanghai University, Wenzhou, 325000, China.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
Department of Dermatology, Al-Azhar University, Assiut, Egypt.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
Department of Dermatology, Al-Azhar University, Assiut, Egypt.
Publications dans "Dermatoses vasculaires" :
1 publication dans cette catégorie
Affiliations :
Department of Dermatology, El-Qusia hospital, Assiut, Egypt.
Publications dans "Dermatoses vasculaires" :
Transcribing disordered speech can be useful when diagnosing motor speech disorders such as primary progressive apraxia of speech (PPAOS), who have sound additions, deletions, and substitutions, or di...
Forty-five patients with PPAOS and 22 healthy controls were recorded repeating 13 words, 3 times each, which were transcribed manually and using wav2vec 2.0. The WER and phonetic and prosodic speech e...
Mean overall WER was 0.88 for patients and 0.33 for controls. WER significantly correlated with AOS severity and accurately distinguished between patients and controls but not between AOS subtypes. Th...
This study demonstrates that ASR can be useful in differentiating healthy from disordered speech and evaluating PPAOS severity but does not distinguish PPAOS subtypes. ASR transcriptions showed weak a...
https://doi.org/10.23641/asha.26359417....
Automatic Speech Recognition (ASR) technologies can be life-changing for individuals who suffer from dysarthria, a speech impairment that affects articulatory muscles and results in incomprehensive sp...
To investigate whether speech recognition software for generating interview transcripts can provide more specific and precise feedback for evaluating medical interviews....
The effects of the two feedback methods on student performance in medical interviews were compared using a prospective observational trial. Seventy-nine medical students in a clinical clerkship were a...
According to the study results, the mean diagnostic accuracy rate (SRS feedback group:1st mock 51.3%, 2nd mock 89.7%; IC recorder feedback group, 57.5%-67.5%; F(1, 77) = 4.0; p = 0.049), mini-CEX scor...
Speech-recognition-based feedback leads to higher diagnostic accuracy rates and higher mini-CEX and checklist scores....
This study was registered in the Japan Registry of Clinical Trials on June 14, 2022. Due to our misunderstanding of the trial registration requirements, we registered the trial retrospectively. This s...
Existing end-to-end speech recognition methods typically employ hybrid decoders based on CTC and Transformer. However, the issue of error accumulation in these hybrid decoders hinders further improvem...
In human-computer interaction systems, speech emotion recognition (SER) plays a crucial role because it enables computers to understand and react to users' emotions. In the past, SER has significantly...
Digital speech recognition is a challenging problem that requires the ability to learn complex signal characteristics such as frequency, pitch, intensity, timbre, and melody, which traditional methods...
Speech is a commonly used interaction-recognition technique in edutainment-based systems and is a key technology for smooth educational learning and user-system interaction. However, its application t...
Stroke recognition at the Emergency Medical Services (EMS) impacts the stroke treatment and thus the related health outcome. At the EMS Copenhagen 66.2% of strokes are detected by the Emergency Medica...
Stroke patient data (n = 9049) from the years 2016-2018 were analysed retrospectively, regarding correlations between stroke detection at the EMS and stroke specific, as well as personal characteristi...
The Chi-Square test with the respective post-hoc test identified a negative correlation between stroke detection and females, the 1813-Medical Helpline, as well as weekends, and a positive correlation...
An ASR can potentially improve stroke recognition by EMDs and subsequent stroke treatment at the EMS Copenhagen. Based on the analysis results improvement of stroke recognition is particularly relevan...
This study was registered at the Danish Data Protection Agency (PVH-2014-002) and the Danish Patient Safety Authority (R-21013122)....
The concentration of medical students in the classroom is important in promoting their mastery of knowledge. Multiple teaching characteristics, such as speaking speed, voice volume, and question use, ...
This research aims to analyze how teachers' linguistic characteristics affect medical students' classroom concentration based on a speech recognition toolkit and face recognition technology....
A speech recognition toolkit, WeNet, is used to recognize sentences during lectures in this study. Face recognition technology (FRT) is used to detect students' concentration in class. The study invol...
As a result of regression analysis, the explanatory power of the effect of the linguistic characteristics was 7.09% (F = 83.82, P < 0.001), with time, volume and question being significant influencing...
The results of this study support the significant positive influence of volume and questioning technique, the negative influence of time, and the insignificant influence of speaking speed and the inte...
Automatic speech recognition systems with a large vocabulary and other natural language processing applications cannot operate without a language model. Most studies on pre-trained language models hav...