Results 201 to 210 of about 195,223 (244)

Statistical shape modeling of the human inner ear through micro‐computed tomography imaging

open access: yesThe Anatomical Record, EarlyView.
In this study, 54 cadaveric temporal bone specimens underwent high‐resolution micro‐CT imaging. Images were semi‐automatically segmented and converted to 3D surface mesh models for morphological measurement and analysis. Statistical shape models were created for the inner ear, cochlea, and vestibular system, as well as for sex‐ and side‐based subgroups.
Carmine Spedaliere   +8 more
wiley   +1 more source

Impact of loneliness on health in healthy populations: A meta-analysis. [PDF]

open access: yesBr J Health Psychol
Zheng Y   +7 more
europepmc   +1 more source

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

open access: yesThe Anatomical Record, EarlyView.
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille   +6 more
wiley   +1 more source

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems

open access: yesArthritis &Rheumatology, Accepted Article.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHR) data has limited the ability to generate real‐world evidence (RWE). This study aimed to develop and validate scalable machine learning (ML) models to infer
David Cheng   +34 more
wiley   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

open access: yesArthritis &Rheumatology, Accepted Article.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis (RA). Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and inter‐rater variability ...
Thomas Deimel   +6 more
wiley   +1 more source

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