Surgical Treatments of Pediatric Bilateral Vocal Fold Paralysis: A Systematic Review.

Objective: To review the current literature about surgical treatments of pediatric bilateral vocal fold paralysis (PBVFP).

Methods: A systematic review of the current literature in PubMed, Scopus, and Cochrane Library regarding etiologies and management of PBVFP was performed until November 2023 according to PRISMA statements. Quality assessment was assessed with Methodological Index for Non-Randomized Studies (MINORS) tool.

SARS-CoV-2 infection and the risk of depressive symptoms: a retrospective longitudinal study from the population-based CONSTANCES cohort.

Background: Should COVID-19 have a direct impact on the risk of depression, it would suggest specific pathways for prevention and treatment. In this retrospective population-based study, we aimed to examine the association of prior SARS-CoV-2 infection with depressive symptoms, distinguishing self-reported . biologically confirmed COVID-19.

Inter-rater Reliability of the Reflux Sign Assessment-10 (RSA-10).

Objective: To evaluate the inter-rater reliability and internal consistency of the Reflux Sign Assessment-10 (RSA-10) among otolaryngologists and speech therapists with various experiences.

Methods: Six experts (2 otolaryngologists, 2 speech-therapists, and 2 speech-therapist students) rated 300 clinical images of oral, laryngeal, and pharyngeal signs from patients with laryngopharyngeal reflux disease diagnosis at the 24-hour hypopharyngeal-esophageal multichannel intraluminal impedance-pH monitoring. Inter-rater reliability and internal consistency were evaluated with Intraclass Correlation (ICC) and Cronbach-α.

Accuracy of ChatGPT responses on tracheotomy for patient education.

Objective: To investigate the accuracy of information provided by ChatGPT-4o to patients about tracheotomy.

Methods: Twenty common questions of patients about tracheotomy were presented to ChatGPT-4o twice (7-day intervals). The accuracy, clarity, relevance, completeness, referencing, and usefulness of responses were assessed by a board-certified otolaryngologist and a board-certified intensive care unit practitioner with the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool.

Characterizing the role of unpredictability within different dimensions of early life adversity.

Dimensional models of early life adversity highlight the distinct roles of deprivation and threat in shaping neurocognitive development and mental health. However, relatively little is known about the role of unpredictability within each dimension. We estimated both the average levels of, and the temporal unpredictability of deprivation and threat exposure during adolescence in a high-risk, longitudinal sample of 1354 youth (Pathways to Desistance study).

Surgical, Functional, and oncological outcomes of transoral robotic surgery for cT1-T3 supraglottic laryngeal Cancers: A systematic review.

Background: This systematic review investigated the surgical, functional, and oncological outcomes of transoral robotic supraglottic laryngectomy (TORS-SGL) for cT1-T3 laryngeal squamous cell carcinoma (LSCC).

Methods: Two investigators conducted an updated PubMed, Scopus, and Cochrane Library systematic review for studies investigating the surgical, functional, and oncological outcomes of TORS-SGL using the PRISMA statements. The bias analysis was conducted with the MINORS.

ChatGPT and trainee performances in the management of maxillofacial patients.

Introduction: ChatGPT is an artificial intelligence based large language model with the ability to generate human-like response to text input, its performance has already been the subject of several studies in different fields. The aim of this study was to evaluate the performance of ChatGPT in the management of maxillofacial clinical cases.

Materials And Methods: A total of 38 clinical cases consulting at the Stomatology-Maxillofacial Surgery Department were prospectively recruited and presented to ChatGPT, which was interrogated for diagnosis, differential diagnosis, management and treatment.

Accuracy and consistency of ChatGPT-3.5 and - 4 in providing differential diagnoses in oral and maxillofacial diseases: a comparative diagnostic performance analysis.

Objective: To investigate the performance of ChatGPT in the differential diagnosis of oral and maxillofacial diseases.

Methods: Thirty-seven oral and maxillofacial lesions findings were presented to ChatGPT-3.5 and - 4, 18 dental surgeons trained in oral medicine/pathology (OMP), 23 general dental surgeons (DDS), and 16 dental students (DS) for differential diagnosis.

Prediction of radiotherapy toxicity: 20 years of COPERNIC radiosensitivity diagnosis procedure.

Purpose: Since 2004, in the frame of the care pathway, our Research Unit has replied to the demand of expertise of radiation oncologists about the individual radiosensitivity of some of their patients. This procedure, called COPERNIC, is based on a skin biopsy and the radiation-induced nucleoshuttling of the ATM protein (the RIANS model), a major actor of DNA break repair and signaling. In 2016, with the first 117COPERNIC fibroblast lines, we obtained a significant correlation between the maximum number of the nuclear ATM foci, pATM, and the CTCAE severity grade of the post-radiotherapy tissue reactions.

Enhanced osteointegration and osteogenesis of osteoblast cells by laser-induced surface modification of Ti implants.

Dental and orthopedic implants have become routine medical technologies for tooth replacement and bone fixation. Despite significant progress in implantology, achieving sufficient osseointegration remains a challenge, often leading to implant failure over the long term. Nanotechnology offers the potential to mimic the natural patterns of living tissues, providing a promising platform for tissue engineering and implant surface design.

Combination of Cardiovascular, Kidney, and Metabolic Diseases in a Syndrome Named Cardiovascular-Kidney-Metabolic, With New Risk Prediction Equations.

Associations of chronic kidney disease (CKD) with metabolic syndrome and cardiovascular disease (CVD) have long been recognized. Until recently, such associations were mainly limited to interrelationships between either heart and kidney, heart and metabolic syndrome, or metabolic syndrome and kidney. It is the merit of the American Heart Association (AHA) to have set up a work group of cardiologists, endocrinologists, and nephrologists for the purpose of combining all 3 disorders in a single entity, as an appreciation of their pathophysiological interrelatedness.

Dynamics and necessity of SIRT1 for maternal-zygotic transition.

Dynamic changes in maternal‒zygotic transition (MZT) require complex regulation of zygote formation, maternal transcript decay, embryonic genome activation (EGA), and cell cycle progression. Although these changes are well described, some key regulatory factors are still elusive. Sirtuin-1 (SIRT1), an NAD-dependent histone deacetylase, is a versatile driver of MZT via its epigenetic and nonepigenetic substrates.

Preparedness of Nursing Homes: A Typology and Analysis of Responses to the COVID-19 Crisis in a French Network.

Background: Preparing healthcare systems for emergencies is crucial to maintaining healthcare quality. Nursing homes (NHs) require tailored emergency plans. This article aims to develop a typology of French private NHs and study their early COVID-19 responses and mortality outcomes.

Protein Biomarkers of Gastric Preneoplasia and Cancer Lesions in Blood: A Comprehensive Review.

Gastric cancer (GC) is a major cause of cancer-related mortality worldwide. It is often associated with a bad prognosis because of its asymptomatic phenotype until advanced stages, highlighting the need for its prevention and early detection. GC development is preceded by the emergence of gastric preneoplasia lesions (GPNLs), namely atrophic gastritis (AG), intestinal metaplasia (IM), and dysplasia (DYS).

Should AI models be explainable to clinicians?

In the high-stakes realm of critical care, where daily decisions are crucial and clear communication is paramount, comprehending the rationale behind Artificial Intelligence (AI)-driven decisions appears essential. While AI has the potential to improve decision-making, its complexity can hinder comprehension and adherence to its recommendations. "Explainable AI" (XAI) aims to bridge this gap, enhancing confidence among patients and doctors.

[Influence of screen brightness on reading in dry eye patients].

Purpose: This study examines the impact of dry eye on screen reading, with an emphasis on glare and visual comfort for patients.

Population And Methods: We recruited ten patients with dry eye and nine healthy controls. Clinical signs of dry eye were quantified to determine the quality of the tear film and corneal aberrations.