Results 141 to 150 of about 5,659 (253)

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

Equity-centred, nurse-led implementation of artificial intelligence in community maternal and child health nursing: a conceptual framework for low-resource settings. [PDF]

Front Public Health
Alruwaili MF, Paul-Chima UO.
europepmc   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching

Anatomical Sciences Education, EarlyView.
Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman, Antônio Chaves de Assis Neto   +1 more
wiley   +1 more source

AI in UK Medical Education: A Framework for Curriculum Reform. [PDF]

JMIR Med Educ
Gaur A, Kirani Tan J, Sridhar Rao M, Fuad M, Bhatti T, Rishab Bharadwaj H, Mohamed Ahmed KAH.   +6 more
europepmc   +1 more source

Show Me the Brain!!: A modern approach to neuroanatomy education

Anatomical Sciences Education, EarlyView.
Abstract Show Me the Brain!! (SMtB) is a digital system for interactive graphics that is designed to support instruction in neuroanatomy and neuroscience. It will soon be made open‐source and freely available. SMtB bridges medical and traditional neuroanatomy instruction with the computational systems and representational conventions common in ...
Nicholas C. Hindy, Anthony J. Bishara, Ellie Lovellette, John R. Pani   +3 more
wiley   +1 more source

Centering the marginalized: AI-driven strategies for advancing health equity in rare disease care. [PDF]

Patterns (N Y)
Lei C, Zuo Y, Lopes CA, Stuart J, Xu B, Liu TYA, Ploug T, Wang Z, Dang K, Jin K, Yu H, Tatere HY, Kong F, Zhang N, Zhang L, Zhou H.   +15 more
europepmc   +1 more source

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

Anatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source

Technological innovation in healthcare: challenges, opportunities and impact on sustainability. [PDF]

Front Digit Health
Vallet-Regi M, Doblare M, Garrido JA, Fuster-Matanzo A, Alberich-Bayarri A, Hernando ME, García Cena CE, Destarac Eguizabal M, Bouza E.   +8 more
europepmc   +1 more source

A workflow for 3D printing highly accurate, customized human skull models for anatomical education and clinical practice

Anatomical Sciences Education, EarlyView.
Our custom workflow creates anatomically accurate and diverse 3D skull models. Precise sex‐specific anatomical detail is ensured by CT‐based segmentation. Our models capture anatomical variations and pathologies. Our cost‐effective 3D printing workflow enhances model durability and fidelity.
Marina Moser, Michel Beyer, Magdalena Müller‐Gerbl, Sandra Blache, Florian M. Thieringer, Szilvia Mezey   +5 more
wiley   +1 more source