Results 121 to 130 of about 176,464,163 (313)

Visual Localization Method for Unmanned Aerial Vehicles in Urban Scenes Based on Shape and Spatial Relationship Matching of Buildings

Remote Sensing
In urban scenes, buildings are usually dense and exhibit similar shapes. Thus, existing autonomous unmanned aerial vehicle (UAV) localization schemes based on map matching, especially the semantic shape matching (SSM) method, cannot capture the ...
Yu Liu, Jing Bai, Fangde Sun
doaj   +1 more source

The application of artificial intelligence in EUS

Endoscopic Ultrasound
Abstract Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced parts are machine learning and deep learning algorithms that have been further developed by machine learning, and it has been partially applied to assist EUS diagnosis.
Zhang, Deyu, Wu, Chang, Yang, Zhenghui, Yin, Hua, Liu, Yue, Li, Wanshun, Huang, Haojie, Jin, Zhendong   +7 more
openaire   +2 more sources

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Novel Deep Learning Model for Glaucoma Detection Using Fusion of Fundus and Optical Coherence Tomography Images

Sensors
Glaucoma is a leading cause of irreversible blindness worldwide, yet early detection can prevent vision loss. This paper proposes a novel deep learning approach that combines two ophthalmic imaging modalities, fundus photographs and optical coherence ...
Saad Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, U. Rajendra Acharya   +4 more
doaj   +1 more source

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars

Engineering, 2018
The randomness and complexity of urban traffic scenes make it a difficult task for self-driving cars to detect drivable areas. Inspired by human driving behaviors, we propose a novel method of drivable area detection for self-driving cars based on fusing
Ziyi Liu, Siyu Yu, Nanning Zheng
doaj   +1 more source

Artificial Intelligence Applications in Biomedicine [PDF]

Advances in Artificial Intelligence, 2013
Panayiotis M. Vlamos, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo 0001   +4 more
openaire   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Preliminary Design of the APIARY for VLSI Support of Knowledge-Based Systems [PDF]

, 1979
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's artificial intelligence research is provided in part by the Office of Naval Research of the ...
Hewitt, Carl
core  

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source