MME Anne RENAULT-VIENNET

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4 raisons identifiées

Plateau technique de référence

Assistance publique – Hôpitaux de Paris (APHP) — équipements et expertise pointus pour les cas complexes

Auteur de référence en rhumatologie

50 articles scientifiques publiés — un praticien à la pointe de la recherche

Disponibilité géographique

2 lieux d'exercice — choisissez celui qui vous arrange

Délais de RDV courts dans la région

134 rhumatos / 100 000 hab. — département bien doté

Rhumatologue

📍 LE PERREUX SUR MARNE (94)MixteRPPS 10001258671

✨ Profil synthétique

IA · 20/05/2026

Mme Anne Renault-Viennet est une rhumatologue exerçant à Le Perreux sur Marne. Ses publications sur PubMed couvrent divers domaines, notamment la pédiatrie, l'épidémiologie et les registres, ainsi que l'utilisation de l'intelligence artificielle en rhumatologie. Elle a également publié des revues et des méta-analyses sur des sujets généraux et spécifiques à la rhumatologie, y compris les biomarqueurs et l'auto-anticorps.

Expertises présumées

Pédiatrie rhumatologique
Épidémiologie des maladies rhumatismales
Intelligence artificielle en rhumatologie
Biomarqueurs en rhumatologie
Auto-anticorps
Revue et méta-analyse en rhumatologie
Rhumatologie pédiatrique

Synthèse automatique à partir des sources publiques (HAL, OpenAlex, theses.fr, ClinicalTrials.gov, FAI²R, ANS). Pas une évaluation clinique. Le médecin peut corriger via son compte.

✨ Génération du profil synthétique IA en cours…

Lieux de consultation(2)

CABINET DU DR ANNE RENAULT-VIENNET
74 QUAI DE L ARTOIS, 94170 LE PERREUX SUR MARNE
☎ 0143248992Activité de soin et de pharmacie
GHU APHP SUN SITE TROUSSEAU
26 AV DU DR ARNOLD NETTER, 75571 PARIS CEDEX 12
☎ 0144737475Activité de soin et de pharmacie

Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.

Top publications · les plus citées

Transforming microfluidics for single-cell analysis with robotics and artificial intelligence

Lab on a chip · 2025

📚 3 citations🔓 Open Access📄 PDF gratuit ↗

Lire l'abstract Crossref ↓

Convergence of microfluidics, robotics, and AI to accelerate the discovery in biology.

Performance of an artificial intelligence-based tool for cervical precancer screening in five countries in Africa: a prospective, observational, diagnostic accuracy study

The Lancet. Global health · 2026

📚 1 citations🩺 Clinique🔓 Open Access

Speech Discrimination Outcomes in Patients Implanted With Perimodiolar Versus Lateral Wall Cochlear Implant Arrays: Systematic Review and Meta-Analysis

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2026

📚 1 citations

Lire l'abstract Crossref ↓

Objective: Provide a systematic review and meta-analysis of head-to-head comparison studies of cochlear implant outcomes from perimodiolar (PM) and lateral wall (LW) electrodes. Database reviewed: Ovid Medline ALL, Ovid Embase, and Wiley’s Cochrane Central Register of Controlled Trials. Method: Studies were parsed using predetermined inclusion and exclusion criteria. Risk of bias was assessed based on ROBINS-I. Preoperative and postoperative CNC and AzBio outcomes were obtained from eligible studies. Standard mean differences (SMD) were calculated, and a meta-analysis was performed. Summary effect and heterogeneity were reported. Results: From 2,219 studies, data points from 11 studies were extracted for analysis. Nine studies of moderate to low risk of bias reported CNC results. Four studies reported statistically significant superiority of the perimodiolar array, with the largest mean difference between groups of 14%. Meta-analysis revealed a pooled SMD of −0.21 (−0.39; −0.02) ( P =0.04), suggesting a statistically significant greater CNC scores in patients implanted with a PM array with a small effect size. When re-expressed in clinical units using the pooled standard deviation, the mean difference was 0.7% CNC percentage units between patients implanted with PM or LW arrays. The pooled SMD of −0.01 (−0.22; 0.20), P =0.81, suggests no statistically significant difference in AzBio postimplantation scores between patients implanted with LW versus PM arrays. Meta-regression suggested a propensity for studies with older patients to have improved AzBio outcomes with perimodiolar arrays ( P =0.02). Conclusion: Analysis of combined CNC scores revealed a statistically significant improvement in post-CNC results following implantation with a PM array at ∼1 year, but this difference was slight and not clinically significant. There was no difference in post-operative AzBio scores between patients implanted with a PM array compared with those implanted with a LW array. There may be an age-related benefit to the perimodiolar electrode with regard to AzBio word understanding, as studies suggest improved AzBio scores with PM arrays included older patients. No such relationship was seen for CNC scores.

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MME Anne RENAULT-VIENNET

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Top publications · les plus citées

Publications scientifiques (50) — classées par pathologie

Transversal31

Pédiatrie5

Épidémiologie & registres4

IA en rhumatologie4

Revue / méta-analyse4

Revue générale3

Biomarqueurs / Auto-Ac2

Pharmacovigilance2

Essai clinique1

Ostéoporose1

Qualité de vie / PROMs1

Recommandations1

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