A novel deep learning-based pipeline architecture for pulp stone detection on panoramic radiographs.

Objectives: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is to introduce a novel method for detecting pulp stones on panoramic radiography images using a deep learning-based two-stage pipeline architecture.

Materials And Methods: The first stage involved tooth localization with the YOLOv8 model, followed by pulp stone classification using ResNeXt.

The frequency of serious bacterial infection in febrile infants less than 90 days infected with SARS-CoV-2 and other respiratory viral pathogens.

Background: The primary aim of this study was to compare the groups, SARS-CoV-2-positive and -negative patients, in terms of the frequency of SBI. The SARS-CoV-2-positive group was compared with the other-RVPs-positive group as a secondary evaluation in terms of serious bacterial infection (SBI).

Methods: This retrospective multicenter cohort study was conducted at four university hospitals from March 2020 to December 2021.

Analysis of myocardial T1, T2, and T2* values by age, sex, and cardiac segments in normal population: a prospective study.

This study examines myocardial T1, T2, and T2* values in a sizable cohort of healthy volunteers, analyzing variations by age, sex, and cardiac segments. It offers a novel approach to defining normal parametric mapping boundaries and represents the first comprehensive study of its kind in Turkey. Our prospective study was conducted between August 2021 and August 2022.

A full-custom fully implantable cochlear implant system validated in vivo with an animal model.

Realizations of fully implantable cochlear implants (FICIs) for providing adequate solution to esthetic concerns and frequent battery replacement have lacked of addressing system level criteria as a complete device. Here, we present a full-custom FICI that considers design of both an implantable sensor for wide range sound sensing and a signal conditioning circuit for electrical stimulation of the auditory nerve. The microelectromechanical system (MEMS)-based acoustic sensor utilizes multiple cantilever beam structures to sense and filter the mechanical vibrations on the ossicular chain.