Results 171 to 180 of about 1,527,016 (289)

Generative AI for efficient statistical computation of fluids. [PDF]

Nat Commun
Raonić B, Molinaro R, Lanthaler S, Rohner T, Armegioiu V, Simonis S, Grund D, Ramic Y, Wan ZY, Sha F, Mishra S, Zepeda-Núñez L.   +11 more
europepmc   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M. Guthridge, Carla Guthridge, Peter Izmirly, Jill P. Buyon, H. Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'Era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (RA/SLE) Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Generative AI as a transformational logic for cognitive neuroscience. [PDF]

Commun Biol
Beste C, Safavi S.
europepmc   +1 more source

The Effect of Generative AI on Marketing: A two-sided perspective of customers and firms

reservedThis study examines the impact of Generative AI (GenAI) on marketing, focusing on its effects on firms and consumers. Using a systematic literature review, it explores how GenAI transforms marketing strategies, influences consumer behavior, and ...
MIRSAYYAR BARKOUSARAEI, SEYEDSAJJAD
core  

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Exploring young adult cancer survivors' perspectives on generative AI chatbots for symptom support. [PDF]

Support Care Cancer
Kantabanlang Y, Kanzawa-Lee G, Pozzar RA, Knoerl R.   +3 more
europepmc   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Problematic Reliance on Generative AI in an Anxious Young Adult: Case Report. [PDF]

JMIR Form Res
Armstrong S.
europepmc   +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

Generative AI Use in a Business Ethics Course Assignment: A Descriptive Study on Student AI Choice and Perceptions

Teaching and Learning Excellence through Scholarship
In this descriptive study I wanted to see how including an assignment which required students to use generative artificial intelligence (AI) would affect students’ perceptions of generative AI, including their own assessment and grading of generative AI-
Amy Cedrone
doaj