Results 91 to 100 of about 820,067 (303)

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih, Sara Samadzadeh, Charlotte Bereuter, Seyedamirhosein Motamedi, Claudia Chien, Pablo Villoslada, Hadas Stiebel‐Kalish, Nasrin Asgari, Yang Mao‐Draayer, Marius Ringelstein, Joachim Havla, Marco Aurélio Lana Peixoto, Ho Jin Kim, Jacqueline Palace, Maria Isabel Leite, Srilakshmi M. Sharma, Fereshteh Ashtari, Rahele Kafieh, Lekha Pandit, Orhan Aktas, Philipp Albrecht, Letizia Leocani, Itay Lotan, Sasitorn Siritho, Jérôme de Seze, Romain Marignier, Caroline Froment Tilikete, Denis Bernardi Bichuetti, Ivan Maynart Tavares, Ayse Altintas, Anu Jacob, Saif Huda, Ibis Soto de Castillo, Lawrence J. Cook, Michael R. Yeaman, Axel Petzold, Alexander U. Brandt, Friedemann Paul, Frederike C. Oertel, Hanna G. Zimmermann, with the Guthy Jackson Charitable Foundation—International Clinical Consortium and CROCTINO Collaborators   +40 more
wiley   +1 more source

Persistence and adherence to levodopa adjunct medications in elderly patients with Parkinson’s disease: a retrospective cohort study using a Japanese claims database

Frontiers in Neurology
ObjectiveWe investigated treatment persistence and adherence for levodopa adjunct medications and their relationship with demographic factors in Japanese patients with Parkinson’s disease (PD).MethodsThis longitudinal retrospective study used a Japanese ...
Masahiro Nagai, Michinori Koebis, Kotaro Sasaki, Chizuru Kobayashi, Kasumi Daidoji, Takayuki Ishida   +5 more
doaj   +1 more source

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

, 2023
Tehnan I. A. Mohamed, Olaide N. Oyelade, Absalom E. Ezugwu   +2 more
openalex   +2 more sources

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Domain Specific Placebo Response in the Modified Friedreich's Ataxia Rating Scale

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The placebo response in clinical trials in ataxias complicates outcome interpretation and potentially obscures genuine treatment effects. We analyzed placebo group data from past trials in Friedreich Ataxia and observed notable responses in appendicular items, in contrast to minimal changes in axial function, as measured by respective ...
Christian Rummey, Jennifer M. Farmer, David R. Lynch   +2 more
wiley   +1 more source

Structural test and FEM analysis of a thermal bridge connection employing the UHPC system for concrete cladding wall

Results in Engineering
The paper describes the technical design used to develop a structure model that improved thermal insulation properties and structural performance.
Nguyen Huu Cuong, Hyoseo An, Tran-Van Han, Sanghee An, Jiuk Shin, Kihak Lee   +5 more
doaj   +1 more source

A comprehensive comparative analysis of deep learning tools for modeling failures in smart water taps [PDF]

, 2021
N. M. Offiong, Yulei Wu, D. Muniandy, Fayyaz Ali Memon   +3 more
openalex   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data [PDF]

, 2019
Linjing Zhang, Zhenfeng Shao, Jianchen Liu, Qimin Cheng   +3 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source