Results 131 to 140 of about 23,492,034 (304)

National Intelligence Daily 7 June 1983 [PDF]

open access: yes, 1983
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

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

open access: yesArthritis 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   +3 more
wiley   +1 more source

National Security Commission on Artificial Intelligence: Interim Report, November 2019 [PDF]

open access: yes, 2019
Report presenting the National Security Commission on Artificial Intelligence's initial (NSCAI)'s preliminary assessment of artificial intelligence (AI).
National Security Commission on Artificial Intelligence (U.S.)
core  

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

open access: yesArthritis 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   +7 more
wiley   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

open access: yesArthritis 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   +4 more
wiley   +1 more source

Synaptic facilitation and learning of multiplexed neural signals

open access: yesFrontiers in Network Physiology
IntroductionIn this work, we introduce a novel approach to one of the historically fundamental questions in neural networks: how to encode information?
Nigel Crook   +3 more
doaj   +1 more source

National Intelligence Daily (Cable) 5 March 1982

open access: yes, 1982
Declassified on 2017-11 ...
United States. Central Intelligence Agency.
core  

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

open access: yesArthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif   +5 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Transparent Trust Assessment in 6G Using Blockchain

open access: yesEngineering Proceedings
Trust assurance will be a cornerstone of the security and autonomy of sixth-generation (6G) networks. Traditional trust models focus on data authenticity and integrity; however, 6G systems increasingly rely on autonomous decision-making.
Ronald Iván Maldonado Valencia   +4 more
doaj   +1 more source

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