Results 161 to 170 of about 22,688 (271)

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

The evolving role of DICOM in digital pathology. [PDF]

J Pathol Inform
Cornish TC, Dayal S, Ferber D, Chiweshe J, Monroe R.   +4 more
europepmc   +1 more source

Lost in aggregation? On the importance of local food price data for food poverty estimates

American Journal of Agricultural Economics, EarlyView.
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich, Valerio Giuffrida, Bruno Martorano, Georg Schmerzeck, Marco Tiberti   +4 more
wiley   +1 more source

MEL-IA: An Interoperable AI System for Multimodal Skin Lesion Classification in Hospital Settings. [PDF]

J Med Syst
Córcoles PC, De Ramón Fernández A, Calvo MS, Serrano JMS, Peral DG, Fernández DR.   +5 more
europepmc   +1 more source

Idiopathic Intracranial Hypertension Is Characterized by a Distinct Proteomic Profile

Annals of Neurology, EarlyView.
Objectives The pathophysiology of idiopathic intracranial hypertension (IIH) is poorly understood and disease‐specific biomarkers are lacking. We aimed to shed light on IIH pathophysiology and identify disease‐specific biomarkers. Methods This prospective cross‐sectional cohort study included patients with new‐onset IIH and age‐, body mass index‐, and ...
Santosh D. Bhosale, Arkadiusz Nawrocki, Johanne J. Korsbæk, Nadja S. Hansen, Fabian Foettinger, Nik Krajnc, Mathias J. Norvig, Niclas L. Eriksen, Stefan Macher, Berthold Pemp, Connar S.J. Westgate, Christian B. Pedersen, Frantz R. Poulsen, Sune Munthe, Gabriel Bsteh, Martin R. Larsen, Rigmor H. Jensen, Dagmar Beier   +17 more
wiley   +1 more source

AI in biocuration: challenges, opportunities, and a roadmap for sustainable integration. [PDF]

Bioinform Adv
Arnaboldi V, Schriml LM, Jeffryes M, Li P, Bello S, Sternberg P, Bult C, Cook CE.   +7 more
europepmc   +1 more source

Turning a new leaf: PhenoVision provides leaf phenology data at the global scale

Applications in Plant Sciences, EarlyView.
Abstract Premise Plant phenology dictates many aspects of community function and ecosystem dynamics. Yet, global phenology data are still limited, especially in areas lacking monitoring programs. Here we present a new data resource, PhenoVision–Leaf, which extends a computer vision pipeline utilizing iNaturalist digital image vouchers to produce global‐
Erin L. Grady, Ellen G. Denny, Carrie E. Seltzer, John Deck, Daijiang Li, Russell Dinnage, Robert P. Guralnick   +6 more
wiley   +1 more source

CliniCAM: A Technical Report of a Mobile Health Application for Structured Clinical Image Documentation and Tag-Based Dataset Generation. [PDF]

Cureus
De Alba Solis AU, Gómez Sánchez E.
europepmc   +1 more source

Multi‐method analysis for the three‐dimensional reconstruction of muscle fascicles from DiceCT datasets

The Anatomical Record, EarlyView.
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz, Michael C. Granatosky, Cassidy E. Davis, Julia Molnar, Adam Hartstone‐Rose, Edwin Dickinson   +5 more
wiley   +1 more source

DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems. [PDF]

Proc SPIE Int Soc Opt Eng
Cho C, McNeil AJ, Jiang B, Saunders AM, Rudravaram G, Liu Y, Moyer D, Dawant BM, Landman BA, Tkaczyk ER.   +9 more
europepmc   +1 more source