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Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study.
JMIR Form Res
January 2025
Department of Computer Science, Purdue University, West Lafayett, IN, United States.
Background: Patient engagement is a critical but challenging public health priority in behavioral health care. During telehealth sessions, health care providers need to rely predominantly on verbal strategies rather than typical nonverbal cues to effectively engage patients. Hence, the typical patient engagement behaviors are now different, and health care provider training on telehealth patient engagement is unavailable or quite limited.
View Article and Find Full Text PDFComprehensive Screening of per- and Polyfluoroalkyl Substances (PFAS) in Food Contact Materials: Utilizing Combustion Ion Chromatography for Total Organic Fluorine (TOF) Analysis.
J AOAC Int
January 2025
Thermo Fisher Scientific, 1214 Oakmead Parkway, Sunnyvale, CA, USA 94085.
Background: Per- and polyfluoroalkyl substances (PFAS) comprise thousands of fluorinated chemicals. They are of growing concern because many PFAS compounds are persistent and toxic. Food contact materials (FCM) containing PFAS pose multiple exposure pathways to humans, prompting twelve states to enact laws banning FCM with PFAS levels exceeding 100 ppm of TOF.
View Article and Find Full Text PDFEnhancing panoramic dental imaging with AI-driven arch surface fitting: Achieving improved clarity and accuracy through an optimal reconstruction zone.
Dentomaxillofac Radiol
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea.
Objectives: This study aimed to develop an automated method for generating clearer, well-aligned panoramic views by creating an optimized three-dimensional (3D) reconstruction zone centered on the teeth. The approach focused on achieving high contrast and clarity in key dental features, including tooth roots, morphology, and periapical lesions, by applying a 3D U-Net deep learning model to generate an arch surface and align the panoramic view.
Methods: This retrospective study analyzed anonymized cone-beam CT (CBCT) scans from 312 patients (mean age 40 years; range 10-78; 41.
Antibiotic Resistance Trends in ESKAPE Pathogens Isolated at a Health Practice and Research Hospital: A Five-Year Retrospective Study.
J Infect Dev Ctries
December 2024
Ankara Etlik City Hospital, Department of Medical Microbiology, Ankara, Turkey.
Introduction: Antimicrobial resistance remains a global threat with increasing morbidity and mortality rates. The aim of this study was to identify the antimicrobial resistance trends among ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) isolated from clinical samples at a Health Practice and Research Hospital over five years.
View Article and Find Full Text PDFComparison of perioperative outcomes of robot-assisted radical prostatectomy among the da Vinci, hinotori, and Hugo robot-assisted surgery systems.
J Robot Surg
January 2025
Division of Urology, Department of Surgery, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago, Tottori, 683-8503, Japan.
In recent times, innovative surgical robotics have emerged and gained widespread adoption. This study aimed to compare the perioperative outcomes associated with robot-assisted radical prostatectomy (RARP) using three different robotic surgical systems: da Vinci surgical system (DVSS), hinotori surgical robot system (HSRS), and Hugo robot-assisted surgery system (HRASS). Our study involved a retrospective analysis of clinical data from 149 individuals who received RARP from 2022 to 2024, utilizing the DVSS (n = 81), HSRS (n = 52), and HRASS (n = 16).
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