Publications by authors named "S Vergez"
Article Synopsis
- Mild cognitive impairment and early-stage dementia are often underdiagnosed, leading to increased healthcare costs; this study aims to address this gap by using patient-nurse conversations recorded in home healthcare settings to develop an AI tool for early detection of cognitive decline.
- The research involved analyzing audio from conversations of 47 patients, identifying key linguistic features related to cognitive decline, and comparing the effectiveness of a speech processing algorithm to traditional electronic health record data.
- Results showed that the combined approach of using verbal communication and EHR data significantly outperformed either method alone, highlighting that certain speech patterns can predict cognitive decline, thus potentially improving patient care and reducing emergency healthcare visits.
Objectives: As artificial intelligence evolves, integrating speech processing into home healthcare (HHC) workflows is increasingly feasible. Audio-recorded communications enhance risk identification models, with automatic speech recognition (ASR) systems as a key component. This study evaluates the transcription accuracy and equity of 4 ASR systems-Amazon Web Services (AWS) General, AWS Medical, Whisper, and Wave2Vec-in transcribing patient-nurse communication in US HHC, focusing on their ability in accurate transcription of speech from Black and White English-speaking patients.
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- The study aimed to gather insights from international experts on the efficacy and challenges of two minimally invasive surgical techniques, transoral laser microsurgery (TLM) and transoral robotic surgery (TORS), for treating supraglottic laryngeal tumors.
- A survey was conducted with 27 head and neck surgeons, finding that TLM generally took less setup time compared to TORS, although both techniques faced concerns about bleeding during surgery, particularly with TLM.
- Experts viewed TLM and TORS as largely equal in effectiveness, but noted that TORS offered better control over bleeding and improved visibility during the procedure.
Article Synopsis
- Salivary gland Secretory Carcinoma (SC) is a rare tumor first described in 2010; a study analyzed 108 cases from the REFCOR database to evaluate diagnosis, treatment, and survival rates up to July 2021.
- MRI was found to be ineffective for diagnosing malignancy, and while 79% of patients received a diagnosis after two histological readings, 21% needed molecular testing for confirmation.
- Results showed high survival rates, with 91.4% overall survival and 89% recurrence-free survival at five years, suggesting a generally positive prognosis for SC patients.*
Introduction: Salivary carcinomas of the tongue represent a therapeutic challenge as their radical excision is particularly mutilating. We aimed to study the oncologic and functional outcomes of advanced stages salivary carcinomas of the tongue.
Materials And Methods: This retrospective multicentric study, based on the French national network on rare head and neck cancers (REFCOR), included all patients with a T3-T4 salivary carcinoma of the tongue, diagnosed between January 2009 and December 2018.