Results 41 to 50 of about 159,079 (225)

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

Artificial Intelligence in Business Education: Benefits and Tools [PDF]

Amfiteatru Economic
Understanding the impact of artificial intelligence (AI) on education is vital for guiding teachers in developing educational tools. AI in education (AIEd) comes not only with opportunities but mostly with challenges for both educators and learners ...
Camelia Surugiu, Cătălin Grădinaru , Marius – Răzvan Surugiu   +2 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysis

npj Digital Medicine
This study presents an ensemble learning approach for automated screening and severity classification of chronic kidney disease (CKD) using polysomnographic (PSG) phenotypes.
Dong Hui Shin, Doljinsuren Enkhbayar, So Yeon Park, Jang Tae Gwan, Ha Young Park, Ji Ae Lee, Jae Won Yang, Jaesoo Kim, Erdenebayar Urtnasan   +8 more
doaj   +1 more source

Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment

Arthritis Care &Research, EarlyView.
Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava, Catriona A. Wagner, Carla J. Guthridge, Susan Macwana, Wade DeJager, Melissa E. Munroe, Peter Izmirly, H. Michael Belmont, Betty Diamond, Anne Davidson, Paul J. Utz, Michael H. Weisman, Philip M. Carlucci, Maria Dall'Era, Kenneth Kalunian, Chaim Putterman, Jennifer Anolik, Jennifer L. Barnas, David Wofsy, Diane Kamen, Richard A. Furie, Deepak A. Rao, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus Network, Chun‐Hao Lee, Derek Fine, Manny Monroy‐Trujillo, Ummara Shah, Mariko Ishimori, Robert M. Clancy, Michael Belmont, Ming Wu, Nicole Bornkamp, Evan Der, Beatrice Goilav, Nicole Jordan, Daniel Schwartz, James Pullman, David Wofsy, Dawn Smilek, Patti Tosta, Matthias Kretzler, Celine C. Berthier, E. Steve Woodle, Dave Hildeman, Michael Brenner, Michelle Petri, Joel M. Guthridge, Jill Buyon, Judith A. James   +48 more
wiley   +1 more source

Evaluating the ability of large language models to emulate personality

Scientific Reports
For social sciences, recent advancements in Large Language Models (LLMs) have the potential to revolutionize the study of human behaviors by facilitating the creation of realistic agents characterized by a diverse range of individual differences.
Yilei Wang, Jiabao Zhao, Deniz S. Ones, Liang He, Xin Xu   +4 more
doaj   +1 more source

The Renal Activity Index for Lupus Identifies Active Renal Disease and Treatment Response in Adult Patients With Systemic Lupus Erythematosus and Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective We evaluated the ability of the Renal Activity Index for Lupus (RAIL) to discriminate active lupus nephritis (LN) in adult patients with active systemic lupus erythematosus (SLE) and differentiate LN treatment response. Methods Urine samples from adults with biopsy‐proven active class III and IV LN from TULIP‐LN (active LN group ...
Hermine I. Brunner, Ellen M. Cody, Prasad Devarajan, Bin Huang, Chen Chen, Dominic Sinibaldi, Madhu Ramaswamy, Jacob Knagenhjelm, Frederick Jones, Philip Z. Brohawn, Raj Tummala, Catharina Lindholm, Wendy I. White   +12 more
wiley   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, in collaboration with the Consensus Expert Panel (CEP) members, G. Alden Adkins, Brittany Adler, Hossein Ansari, Senada Arabelovic, Alan Baer, Denis Balaban, Shamik Bhattacharyya, Evelyn Bromet, Krishna Chaganti, Kamal Chemali, Melissa Cortez, Schartess Culpepper, Paul Dellaripa, Dana Direnzo, Daniel El Bogdadi, Robert Fearon, Mehrnez Fischbach, Judi Furlong, Christopher Gibbons, Rachael Gordon, Thomas Grader Beck, Syed Haider, Larry Hollenbeck, Chadwick R. Johr, Stuart S. Kassan, Brian King, Octavia Kincaid, Eugene Kissin, Vasileios Kyttaris, Lindsay Lally, Brandon M. Law, Janet Lewis, Scott M. Lieberman, Amanda Lusa, Joseph Lutt, Rashmi Maganti, Arthur M. Mandelin, Sara McCoy, Kerry Neall, Timothy Niewold, Anne Louise Oaklander, Ruben A. Peredo‐Wende, Lynn Petruzzi, Mark A. Porter, Guada Respicio Duque, Tania Reyna, Nathaniel M. Robbins, Elliot D. Rosenstein, Laura Rosow, Breanna Ruthrauff, Amit Sachdev, Nora Sandorfi, Sarah Schafer, Elena Schiopu, Chokkalingam Siva, Daniel Small, Sara M. Stern, Lauren Stiles, Susan Stoddard, Jinny Tavee, Donald Thomas, Edward L. Treadwell, Nagagopal Venna, Steven Vernino, Frederick B. Vivino, Brittany Weber, Sepideh Yadollahi, Huiying Yu, Scott Zashin   +88 more
wiley   +1 more source

Research trends in the use of artificial intelligence in higher education

Frontiers in Education
The latest technological advancements have greatly interested researchers in artificial intelligence (AI) in education. In parallel, researchers have expressed concern about using and applying AI in education.
Roza Sh. Akhmadieva, Nadezhda A. Kalmazova, Tatyana Belova, Alexey Prokopyev, Natalia M. Molodozhnikova, Valentina Yu Spichak   +5 more
doaj   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source