Results 121 to 130 of about 4,276,769 (250)

Artificial Morality and Artificial Law [PDF]

, 1994
Philipps, Lothar
core   +1 more source

Artificial Intelligence: A Survey on Evolution and Future Trends

, 2021
Maad M. Mıjwıl, Rana Ali Abttan
openalex   +2 more sources

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

Forecast of Wind Speed with a Backpropagation Artificial Neural Network in the Isthmus of Tehuantepec Region in the State of Oaxaca, Mexico

Acta Universitaria, 2012
Este trabajo presenta los resultados preliminares de la configuración de una red neuronal artificial (ANN), de tipo alimentación hacia adelante con el método de entrenamiento de retro-propagación para pronosticar la velocidad de viento en la región del ...
Orlando Lastres Danguillecourt, José Rafael Dorrego Portela, Rosa Edith Moreno De La Torre, Airel Nuñez Rodríguez, Ernesto Cortés Pérez   +4 more
doaj  

Effect of Nonsteroidal Anti‐Inflammatory Drugs on Sacroiliac Joint Inflammation, as Seen on Magnetic Resonance Imaging, in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Objective Imaging evidence of active sacroiliitis is important for diagnosis, classification, and monitoring of axial spondyloarthritis (axSpA). However, there is no consistent guidance on whether patients should temporarily stop nonsteroidal anti‐inflammatory drugs (NSAIDs) before magnetic resonance imaging (MRI).
Gareth T. Jones, Alexander N. Bennett, Raj Sengupta, Pedro M. Machado, Helena Marzo‐Ortega, Lorna Aucott, Margaret A. Hall‐Craggs, Timothy J. P. Bray, Alan Bainbridge, Ruaridh M. Gollifer, Gary J. Macfarlane   +10 more
wiley   +1 more source

Atrial Standstill: a Rare Case

Journal of Tehran University Heart Center, 2011
We introduce a 32-year-old man who was evaluated for a dizziness and headache of unknown origin for at least two months and was referred to our center after ECG findings.
Ahmad Yaminisharif, Akbar Shafiee, Mohammad Sahebjam, Ali Moezzi   +3 more
doaj  

Where, How, and How Much? A Multicenter Cohort Study of the Relationship Across Lupus Decision‐Aid Modality, Place of Administration, Interruption and Viewing Completeness, and Patient‐Reported Outcomes

Arthritis Care &Research, EarlyView.
Objective We assessed whether shared decision‐making (SDM) and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE) differs by PtDA setting, modality, and the viewing experience. Methods Patients with SLE were invited to view a self‐administered
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing Decision‐Aid for Lupus in Clinics (IDEAL) Consortium, Winn Chatham, Jasvinder Singh, Sonali Narain, Narender Annapureddy, Diane Kamen, Kimberly Trotter, Vikas Majithia, Cathy Ching, Zineb Aouhab, Swamy Venturupalli, Rosalind Ramsey‐Goldman, Alfred Kim, Maureen McMahon, Sam Lim, Kalpana Bhairavarasu, Alexa Meara, Kenneth Kalunian   +20 more
wiley   +1 more source

The Metaphysics of Design

DIID
The paper is concerned with beginning to lay a basis for a more comprehensive model of designing, one that can overcome the abyss between the conceptual limitations of purely professional designing and wider instincts of design capabilities.
Clive Dilnot
doaj   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source