AIMC Topic: Spain
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Answer to the commentary on the paper "Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey".
European geriatric medicine
May 20, 2024
Deep continual learning for medical call incidents text classification under the presence of dataset shifts.
Computers in biology and medicine
May 1, 2024
The aim of this work is to develop and evaluate a deep classifier that can effectively prioritize Emergency Medical Call Incidents (EMCI) according to their life-threatening level under the presence of dataset shifts. We utilized a dataset consisting...
Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey.
European geriatric medicine
Apr 14, 2024
PURPOSE: The purposes of the study was to describe the degree of agreement between geriatricians with the answers given by an AI tool (ChatGPT) in response to questions related to different areas in geriatrics, to study the differences between specia...
Enhancing water quality prediction for fluctuating missing data scenarios: A dynamic Bayesian network-based processing system to monitor cyanobacteria proliferation.
The Science of the total environment
Apr 10, 2024
Tackling the impact of missing data in water management is crucial to ensure the reliability of scientific research that informs decision-making processes in public health. The goal of this study is to ascertain the root causes associated with cyanob...
Radiologists and trainees' perspectives on artificial intelligence.
Radiologia
Apr 4, 2024
BACKGROUND AND OBJECTIVES: The purpose of this study was to investigate perspectives held by radiologists on the use of artificial intelligence (AI) in their day-to-day work and to identify factors limiting its routine implementation.
Purely robotic ileocystoplasty in children: why not? First case in Spain.
Cirugia pediatrica : organo oficial de la Sociedad Espanola de Cirugia Pediatrica
Apr 1, 2024
INTRODUCTION: We present the first case of pediatric ileocystoplasty using a purely robotic approach in Spain.
PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.
Stroke
Mar 28, 2024
BACKGROUND: Predicting stroke recurrence for individual patients is difficult, but individualized prediction may improve stroke survivors' engagement in self-care. We developed PRERISK: a statistical and machine learning classifier to predict individ...
High-resolution density assessment assisted by deep learning of (Lamarck, 1816) and (Linnaeus, 1767) in rocky circalittoral shelf of Bay of Biscay.
PeerJ
Mar 7, 2024
This study presents a novel approach to high-resolution density distribution mapping of two key species of the 1170 "Reefs" habitat, and , in the Bay of Biscay using deep learning models. The main objective of this study was to establish a pipeline ...
Maintaining innovation: How to make sewer robots and innovation policy work in Barcelona.
Social studies of science
Nov 25, 2023
This article explores how innovation logics infiltrate problem and value definitions in maintenance and repair, and how innovation itself depends on considerable, often invisible care work beyond the seemingly smooth entrepreneurial narratives. We bu...
A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study.
Computers in biology and medicine
Nov 16, 2023
Airborne pollen can trigger allergic rhinitis and other respiratory diseases in the synthesised population, which makes it one of the most relevant biological contaminants. Therefore, implementing accurate forecast systems is a priority for public he...
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