Results 131 to 140 of about 178,762 (313)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Building Community Amidst the Institutional Whiteness of Graduate Study: Black Joy and Maroon Moves in an Academic Marronage

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article reflects on the construction of a supportive community of Black Afro‐diasporic graduate students and their supervisors researching issues relating to race in the field of education in Australia. It draws on the concept of marronage—a term rooted in the fugitive act of becoming a maroon, where enslaved people enacted an escape in ...
Hellen Magoi, Casianus Gemoh, Denise Chapman, Edmund Hypolite, Simon Angok, Melanie Baak, Joel Windle   +6 more
wiley   +1 more source

Reducing Hallucinations in Legal AI: A Retrieval Augmented Generation-Based Model for Accurate Legal Guidance

IEEE Access
With the emergence of Large Language Models (LLMs) in the field of Generative Artificial Intelligence (AI), many industries have been significantly transformed, including the legal sector.
Shreya Gupta, Vishal Agrawal, Yash Negi, Sathya Karunanithi, Arunkumar Balakrishnan   +4 more
doaj   +1 more source

Commentary: Musical hallucinations: review of treatment effects [PDF]

, 2015
Coebergh, Cole, Cope, Fukunishi, Gardner, Gerra, Hermesh, Hyman, Liikkanen, Ortiz de Gortari, Ortiz de Gortari, Ortiz de Gortari, Ortiz de Gortari, Ortiz de Gortari, Ortiz de Gortari, Spence, Vitorovic, Williams, Williamson, Woo   +19 more
core   +2 more sources

Hallucinations

International Psychogeriatrics, 1997
P J, Whitehouse, M B, Patterson, M E, Strauss, D S, Geldmacher, J L, Mack, G C, Gilmore, E, Koss   +6 more
openaire   +2 more sources

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

Annals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono, Hiroaki Sekiya, Alexia R. Maier, Neill R. Graff‐Radford, Zbigniew K. Wszolek, Dennis W. Dickson   +5 more
wiley   +1 more source

Analyzing Bias in LLM-Augmented Knowledge Graph Systems: Taxonomy, Interaction Mechanisms, and Evaluation

Applied Sciences
Large Language Models (LLMs) are increasingly integrated into Knowledge Graph (KG) construction and augmentation pipelines to reduce manual effort and enable scalable knowledge extraction, completion, and reasoning.
Paria Zabihi, Dina Nawara, Ahmed Ibrahim, Rasha Kashef   +3 more
doaj   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

Student perspectives on AI‐supported formative assessment in pharmacology

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg, Øyvind Repstad, Trond Trætteberg Serkland, Tiril Egset Mork, Christian Bru, Olav Tenstad, Monika Kvernenes   +6 more
wiley   +1 more source

Inflammation‐driven variability in drug metabolism: Insights from voriconazole treatment of HSCT recipients

British Journal of Clinical Pharmacology, EarlyView.
Aims Voriconazole is commonly used to prevent fungal infections after haematopoietic stem cell transplantation (HSCT). Although its metabolism is influenced by CYP2C19 genetics and inflammation, their combined effect is rarely considered in clinical practice, and integrated analyses remain limited.
Sylvia D. Klomp, Martijn L. Manson, Henk‐Jan Guchelaar, Stefan Böhringer, Esther H. M. van Egmond, Peter A. von dem Borne, Jesse J. Swen   +6 more
wiley   +1 more source