Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

EmergAI

Financiado

Enhancing emergency department safety, efficacy and cost-effectiveness by artifi...

Enhancing emergency department safety, efficacy and cost-effectiveness by artificial intelligence * Background: Emergency care costs are increasing in developed societies, both in rates of emergency department (ED) visits per person and in costs per visit, and are growing faster than other areas of healthcare spending. With li... ver más

30/09/2027

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UPPSALA UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-08-30

ERC-2021-ADG: ERC ADVANCED GRANTS Scope:Objectives

I+D

Cerrada hace 3 años

0% 100% 100%

1 Participantes

2.50M€ | Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

MIA-NORMAL Medical Image Analysis with Normative Machine Learning 2M€ Cerrado

PID2020-113870GB-I00 DESARROLLO DE HERRAMIENTAS DE SOFT COMPUTING PARA LA AYUDA A... 99K€ Cerrado

INVESTIGACIÓN Y DESARROLLO DE NUEVAS TECNOLOG... INVESTIGACIÓN Y DESARROLLO DE NUEVAS TECNOLOGÍAS ELECTROMÉDI... 445K€ Cerrado

PID2020-116898RB-I00 INTELIGENCIA ARTIFICIAL PARA PROCESAMIENTO DE LENGUAJE NATUR... 110K€ Cerrado

TIN2014-53067-C3-1-R ESTRATEGIAS DE GESTION DE PROCESOS Y TECNICAS DE INTELIGENCI... 63K€ Cerrado

TIN2017-87548-C2-1-R DEEPEMR: EXTRACCION DE INFORMACION CLINICA USANDO DEEP LEARN... 117K€ Cerrado

Duración del proyecto: 61 meses Fecha Inicio: 2022-08-30
Fecha Fin: 2027-09-30

Líder del proyecto

UPPSALA UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto * Background: Emergency care costs are increasing in developed societies, both in rates of emergency department (ED) visits per person and in costs per visit, and are growing faster than other areas of healthcare spending. With limited and unstructured data, ED staff make quick decisions about probabilities for multiple diagnoses and risks. Both underestimation and overestimation of these probabilities lead to increased costs and patient harm. Hence, there is desperate need for clinical decision-support systems in the ED. * Aim: To develop a clinical decision support system for emergency medicine doctors, using sensor data, health records data and patient-reported data, validated in a randomized clinical trial, in order to improve the safety, efficacy and cost-effectiveness of emergency care. * Objectives: We will: Develop machine learning (ML)-powered diagnosis and risk prediction algorithms for common and dangerous conditions based on age, sex, presenting complaints, previous diagnoses, ECGs, and vital parameters; develop and validate a patient-centred technical platform for collecting, storing and sharing patient-reported data and three-dimensional symptom drawings; develop ML-powered diagnosis and risk prediction algorithms for common and dangerous conditions based on patient-reported data and symptom drawings; conduct a large-scale prospective ED data collection for internal and external validation of ML models using a common format for online applications and for further data collection; develop a Bayesian network-powered ED-based clinical decision support system that generates probabilities for diagnoses and 30-day mortality risks and suggestions for the most valuable next step, from data in multiple formats, with visual representation of probabilities, risks and uncertainties and Bayes factors for potential next steps; and conduct a randomized clinical trial investigating the usefulness, effectiveness and safety of the new decision support system.

Conecta tu I+D

Entra hoy

¿Olvide mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores