Publications by authors named "S Prevot"

The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its priority. The deployment of digital pathology and artificial intelligence fits perfectly into this framework. Therefore we evaluated the pathologist's interest in those fields by conducting an online survey among members of the French Society of Pathology, mainly composed of senior pathologists and trainees (n=2301).

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Background: Achieving mitral isthmus (MI) block can be challenging. This prospective study evaluated the feasibility and efficacy of a systematic strategy comprising three consecutive steps to achieve MI block.

Methods: Twenty consecutive patients (mean (± SD) age 71.

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Article Synopsis
  • In 2020, the SARS-CoV-2 virus emerged in China, posing significant health risks, especially for pregnant women, leading to complications that can increase maternal and neonatal mortality.
  • Research indicated potential maternal-fetal transmission of the virus and identified placental abnormalities, termed placentitis, which could disrupt placental functions and fetal heart rate monitoring.
  • A study analyzed data from 17 mothers with SARS-CoV-2 infections; through this, clinicians discovered a high incidence of coagulopathy in mothers and noted that all fetuses were delivered through emergency cesarean sections, with one neonatal death recorded due to complications related to the infection.
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Study Question: Can ovarian tissue cryopreservation (OTC) be performed after controlled ovarian hyperstimulation (COH)?

Summary Answer: Unilateral oophorectomy after transvaginal oocyte retrieval is feasible on stimulated ovaries during one surgical step.

What Is Known Already: In the fertility preservation (FP) field, the timeframe between patient referral and start of curative treatment is limited. Combining oocyte pick-up with ovarian tissue (OT) extraction has been reported to improve FP but COH applied before OT extraction is not currently recommended.

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Breast cancer is one of the most prevalent cancers worldwide and pathologists are closely involved in establishing a diagnosis. Tools to assist in making a diagnosis are required to manage the increasing workload. In this context, artificial intelligence (AI) and deep-learning based tools may be used in daily pathology practice.

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