Results 121 to 130 of about 124,017 (271)

Relationship Between Kyphosis and Postoperative Gastroesophageal Reflux After Proximal Gastrectomy

Annals of Gastroenterological Surgery, EarlyView.
This study examined the relationship between kyphosis and postoperative gastroesophageal reflux disease (GERD) after proximal gastrectomy using a kyphosis definition that is familiar to surgeons for preoperative assessment. Multivariate analysis revealed that kyphosis is an independent risk factor for GERD after proximal gastrectomy.
Takaomi Ozawa, Suguru Maruyama, Katsutoshi Shoda, Yoshihiko Kawaguchi, Ryo Saito, Kensuke Shiraishi, Shinji Furuya, Hidetake Amemiya, Hiromichi Kawaida, Daisuke Ichikawa   +9 more
wiley   +1 more source

Development of tinea corporis in a Japanese patient with atopic dermatitis under treatment with upadacitinib in a real‐world clinical setting: Possible contribution of the suppression of Th17

, 2022
Journal of Cutaneous Immunology and Allergy, Volume 5, Issue 6, Page 233-235, December 2022.
Akihiko Uchiyama, Sei‐ichiro Motegi
wiley   +1 more source

A Soft Wearable Robot with an Adjustable Twisted String Actuator and a Two‐Stage Transmission Mechanism for Manual Handling Tasks

Advanced Intelligent Systems, EarlyView.
This article proposes a soft wearable robot (WeaRo) to assist workers while executing manual handling tasks. With its innovative design, the WeaRo effectively assists multiple body parts during manual handling tasks while using a single motor. Furthermore, the components of the WeaRo are assembled onto a fabric‐based suit, ensuring high performance and
Dongun Lee, Sinyoung Lee, Donghyun Lee, Dongjun Shin   +3 more
wiley   +1 more source

Double gene mutations of LRSAM1 and REEP1 and a new REEP1 mutation site found in a patient with amyotrophic lateral sclerosis with subjective paresthesia: A case report

Ibrain, EarlyView., 2023
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by selective degeneration of upper and lower motor neurons. Leucine‐rich repeats and sterility α mutations in motif 1 (LRSAM1) has been proven to be involved in the pathogenesis of ALS.
Ji‐Yao Qin, Zun‐Lin Zhou, Yuan‐Qing Zhou, Ya Chen, Xiao‐Yan Yang, Hai‐Qing Zhang, Zu‐Cai Xu   +6 more
wiley   +1 more source

Treatment of Lumbar Intervertebral Disc Prolapse [PDF]

, 1953
Valentine Logue
openalex   +1 more source

Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data [PDF]

arXiv
Lumbar disk segmentation is essential for diagnosing and curing spinal disorders by enabling precise detection of disk boundaries in medical imaging. The advent of deep learning has resulted in the development of many segmentation methods, offering differing levels of accuracy and effectiveness.
arxiv  

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Advanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park   +5 more
wiley   +1 more source

Anatomical and Clinical Studies on Lumbar Disc Degeneration [PDF]

, 1949
Sten Friberg, Carl Hirsch
openalex   +1 more source

Three-dimensional Reconstruction of the Lumbar Spine with Submillimeter Accuracy Using Biplanar X-ray Images [PDF]

arXiv
Three-dimensional reconstruction of the spine under weight-bearing conditions from biplanar X-ray images is of great importance for the clinical assessment of spinal diseases. However, the current fully automated reconstruction methods have low accuracy and fail to meet the clinical application standards.
arxiv  

DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning [PDF]

arXiv, 2018
The high prevalence of spinal stenosis results in a large volume of MRI imaging, yet interpretation can be time-consuming with high inter-reader variability even among the most specialized radiologists. In this paper, we develop an efficient methodology to leverage the subject-matter-expertise stored in large-scale archival reporting and image data for
arxiv