Results 21 to 30 of about 1,649,439 (179)
Predicting no-shows at outpatient appointments in internal medicine using machine learning models [PDF]
PeerJ Computer ScienceThe high prevalence of patient absenteeism in medical appointments poses significant challenges for healthcare providers and patients, causing delays in service delivery and increasing operational inefficiencies.
Felipe Ocampo Osorio +6 more
doaj +2 more sources
¿Podemos regular una inteligencia artificial invisible?
, 2022 La inteligencia artificial, en ocasiones, es transparente: no la percibimos y, aunque parece no existir, condiciona nuestra vida. Así ocurre cuando, por ejemplo, las redes sociales nos recomiendan determinados contenidos.Postprint (published ...
Cortés García, Claudio Ulises +1 more
core
Methods in Ecology and Evolution, EarlyView.Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo +3 more
wiley +1 more source
The anesthesiologist’s guide to critically assessing machine learning research: a narrative review
BMC AnesthesiologyArtificial Intelligence (AI), especially Machine Learning (ML), has developed systems capable of performing tasks that require human intelligence. In anesthesiology and other medical fields, AI applications can improve the precision and efficiency of ...
Felipe Ocampo Osorio +3 more
doaj +1 more source
Mathematical and Computational ApplicationsThe selection of the right topology (ansatz) for a Variational Quantum Algorithm (VQA) is a complex task that usually involves deep knowledge of a particular problem.
Emmanuel Isaac Juárez Caballero +2 more
doaj +1 more source
GNOCHI: Generative Neural mOdel for Close Human‐Human Interactions
Computer Graphics Forum, EarlyView.Abstract Creating realistic 3D human‐human interactions in virtual environments is challenging due to the high degrees of freedom in human body and the need for physically accurate poses that do not collide with each other. Traditional methods for humanhuman interaction are based on motion tracking or 3D body reconstruction, but lack generative ...
Gonzalo Gómez‐Nogales +3 more
wiley +1 more source
Módulo de inteligencia artificial para el Risk [PDF]
, 2006 Trabajo de la asignatura Sistemas Informáticos (Facultad de Informática, Curso 2005-2006)La aplicación que queremos desarrollar consiste en un software multiusuario de un simulador del juego de estrategia Risk, añadiendo además al sistema la capacidad de
Granero Pérez, Juan Luis +2 more
core +1 more source
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Telos: Revista de Estudios Interdisciplinarios en Ciencias SocialesLa transformación digital basada en inteligencia artificial apoya el desarrollo de comunidades, organizaciones y naciones que apuestan económicamente por la tecnología que la habilita, sin embargo, son muchos los espacios que quedan vacíos si solo se ...
Carmen Patricia Jiménez Terrazas +3 more
doaj +1 more source
Revista Española de Documentación Científica, 2016 Los dispositivos móviles inteligentes han fomentado en los últimos años nuevos escenarios de interacción que requieren interfaces persona-máquina más sofisticados.
David Griol +2 more
doaj +1 more source