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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 PDFComparison of spectacle lenses with highly aspherical lenslets versus orthokeratology for the management of axial length elongation.
Clin Exp Optom
January 2025
Aier Eye Hospital, Jinan University, Guangzhou, China.
Clinical Relevance: When selecting an intervention for myopia management, parental inquiries centre around the comparative efficacy of orthokeratology versus myopic defocus spectacle lenses. This prompts an intriguing investigation into the nuanced differences between these two treatment methods.
Background: This study aimed to compare the efficacy of spectacle lenses with highly aspherical lenslets (HAL) versus orthokeratology (Ortho-k) in controlling axial length elongation.
Distinct genetic risk loci between biopsy-proven renal and non-renal lupus: a 10-year longitudinal cohort.
Rheumatology (Oxford)
January 2025
Division of Rheumatology & Clinical Immunology, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong.
Objective: Systemic lupus erythematosus (SLE) is a heterogeneous disease which manifests as different subphenotypes. Distinct subphenotypes, such as lupus nephritis (LN), have been associated with increased genetic risk, but prior studies have been limited by cross-sectional and imprecisely subphenotyped cohorts. This study investigated the genetic basis for LN using a longitudinal cohort of distinctly subphenotyped patients.
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.
The impact of anti-infective therapy on patients undergoing warfarin treatment.
J Infect Dev Ctries
December 2024
Department of Pharmacy, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China.
Introduction: The combination of antibiotics and warfarin is used frequently in clinical practice. However, the impact of this combination on the anticoagulant efficacy of warfarin remains uncertain, posing challenges to clinical decision-making. This study aimed to evaluate the influence of various antibiotics on the international normalized ratio (INR) values in hospitalized patients who were concurrently administered warfarin.
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