Results 161 to 170 of about 33,263 (287)

A Case of Functional Movement Disorder Preceding Right Temporal Predominant Frontotemporal Degeneration

Movement Disorders Clinical Practice, EarlyView.
Isis So, Aditya Murgai, Elizabeth C. Finger, Miguel Restrepo‐Martinez   +3 more
wiley   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source

Addressing chronic visual hallucination by multimodal retinal imaging: a CBS case. [PDF]

Ther Adv Ophthalmol
O'Neill Y, Arrigo A, Stanga PE.
europepmc   +1 more source

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman, Pavlos Panos, Philipp Latzin, Oliver Bieri   +3 more
wiley   +1 more source

Assessing ChatGPT for taxonomic and floristic studies

Nordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym, Olena Kozak, Ahmet Emre Yaprak, Alan Elliott, Pedro Bond Schwartsburd, Karime Abidkulova, Anna Voytsekhovich, Olena Danylevska   +7 more
wiley   +1 more source

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li, Flora Su, Norbert Banyi, Philip Edgcumbe, Andrew Thamboo, Ameen Amanian   +5 more
wiley   +1 more source

Rehabilitation needs of long COVID patients in British Columbia

PM&R, EarlyView.
Abstract Introduction COVID‐19 can result in persistent symptoms and functional impairment that significantly impact daily functioning, highlighting the need for targeted rehabilitation. However, there is a lack of data on what proportion of long COVID patients need rehabilitation and which types are required.
Débora M. Petry Moecke, Evan H. Kwong, Sonya Cressman, Jennifer Yao, Chiara Singh, Carolyn Taylor, Pat G. Camp   +6 more
wiley   +1 more source

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

PLANTS, PEOPLE, PLANET, EarlyView.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin, Alexander G. Linan, Mike Blomberg, Heidi H. Schmidt, Jordan K. Teisher   +4 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Rethinking Mitochondrial Parkinson's Disease in the α‐Synuclein Seed Amplification Assays Era

Movement Disorders, EarlyView.
Marco Percetti, Vidal Yahya, Alessio Di Fonzo, Edoardo Monfrini   +3 more
wiley   +1 more source