ABSTRACT This paper presents and tests a new method for publishing and diagnosing leprosy‐related skeletal lesions while making available the leprosy‐related demographic data and pathology for St Mary Magdalen, Winchester (MMW). This method can facilitate interstudy comparisons of leprosy prevalence and severity by improving data comparability.
A. A. Blom +5 more
wiley +1 more source
An automatic congenital radio-ulnar synostosis deformity evaluation method (CRUS-DE): integrating TLT-SAM and GPMM-R for landmark identification. [PDF]
Liu L +5 more
europepmc +1 more source
Emerging Deep Cutaneous Fungal Infection Caused by Cyphellophora Species in a Diabetic Patient
The Kaohsiung Journal of Medical Sciences, EarlyView.
Yi‐Shan Teng +2 more
wiley +1 more source
Abstract Objective Comorbid depression is a significant negative predictor of survival in patients with head and neck cancer (HNC). Prior studies have shown a prevalence of up to 40.1%; however, depression is often underdiagnosed in this patient population. Study Design Retrospective cohort. Setting Single‐institution database.
Sindhura Sridhar +8 more
wiley +1 more source
Impact of wrist motion restriction on self-feeding: Compensatory strategies using an orthotic fixation model - A proof of concept study. [PDF]
Chiba N +3 more
europepmc +1 more source
Integration of Motion Capture and EMG data for Classifying the Human Motions [PDF]
Engineer, Navzer +3 more
core
Mental Health Risk Factors for Postoperative Pain in Head and Neck Free Flap Reconstruction Patients
Abstract Objective Head and neck cancer (HNC) surgery is associated with postoperative pain and comorbid mental health disorders (MHDs). This study assessed predictors of postoperative pain and inpatient pain service consultation following free flap reconstruction (FFR). Study Design Retrospective cohort. Setting Single‐institution database.
Daniel R. S. Habib +8 more
wiley +1 more source
Suspected association of a novel <i>MECOM</i> variant with congenital radioulnar synostosis: a case report. [PDF]
Wang X, Qu Y, Ma B, Wang H.
europepmc +1 more source
Deep Learning–Based Segmentation of Fetal Anatomical Structures in the First Trimester
ABSTRACT Objectives To develop and evaluate an artificial intelligence (AI) system that automatically identifies and classifies the fetal structures in the first trimester. Method Over 20,000 ultrasound images from first‐trimester fetuses were prospectively collected from four university hospitals in the Republic of Korea.
Subeen Hong +13 more
wiley +1 more source

