Results 101 to 110 of about 200,089 (297)
Responsible Generative AI for SMEs in UK and Africa (RAISE): A Financial Investment AI Case Study
This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in ...
Ochang, Paschal +3 more
core +1 more source
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Responsible Generative AI for SMEs in UK and Africa (RAISE): A Health AI Case Study
This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in ...
Ochang, Paschal +3 more
core +1 more source
Operationalizing responsible AI principles through responsible AI capabilities
AI and EthicsAbstract Responsible artificial intelligence (RAI) has emerged in response to growing concerns about the impact of AI. While high-level principles have been provided, operationalizing these principles poses challenges. This study, grounded in recent RAI literature in organizational contexts and dynamic capability theory, and informed by ...
openaire +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
BMC Medical Informatics and Decision MakingBackground Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems.
Patrick Rockenschaub +8 more
doaj +1 more source
Earthquake Response Analysis with AI
A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged as valuable real-time information sources for such events. This work explores the potential of leveraging Twitter data for earthquake response analysis.
Deep Patel +3 more
openaire +2 more sources
Responsible Generative AI for SMEs in UK and Africa (RAISE): An Art AI Case Study
This report presents a series of case studies developed under the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project, examining how small and medium-sized enterprises (SMEs) understand, adopt, and operationalise generative AI in ...
Ochang, Paschal +3 more
core +1 more source
U.S. Department of Defense Responsible Artificial Intelligence Strategy and Implementation Pathway
, 2022 This report outlines a framework for responsible AI use by the Department of ...
Hicks, Kathleen H. +1 more
core
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 +21 more
wiley +1 more source