Results 201 to 210 of about 257,972 (304)

A Quantitative Approach to Record Skeletal Manifestations of Leprosy and Its Application to St Mary Magdalen Leprosarium, Winchester

open access: yesInternational Journal of Osteoarchaeology, EarlyView.
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

Emerging Deep Cutaneous Fungal Infection Caused by Cyphellophora Species in a Diabetic Patient

open access: yes
The Kaohsiung Journal of Medical Sciences, EarlyView.
Yi‐Shan Teng   +2 more
wiley   +1 more source

Association of Preoperative Depression and Clinical Outcomes After Head and Neck Free Flap Reconstruction

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
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

Integration of Motion Capture and EMG data for Classifying the Human Motions [PDF]

open access: yes, 2007
Engineer, Navzer   +3 more
core  

Mental Health Risk Factors for Postoperative Pain in Head and Neck Free Flap Reconstruction Patients

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
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

Deep Learning–Based Segmentation of Fetal Anatomical Structures in the First Trimester

open access: yesPrenatal Diagnosis, EarlyView.
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

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