Departamento: Information and Communication Engineering

Centro académico: Faculty of Informatics

Universidad: University of Murcia

Area: Computer Science and Artificial Intelligence

Research group: Informática médica e inteligencia artificial

Email: jmjuarez@um.es

Personal web: https://webs.um.es/jmjuarez/

Doctor by the Universidad de Murcia with the thesis Una aproximación multimodal al diagnostico temporal mediante razonamiento basado en casos y razonamiento basado en modelos. Aplicaciones en la medicina. 2007. Supervised by Dr. Roque Luis Marín Morales, Dr. José Tomás Palma Méndez.

MEDICAL AI I research on cutting edge AI technologies, such as machine learning, reinforcement and deep learning, for solving clinical problems in real life scenarios. This research aims to help doctors and patients to have a better healthcare service. EXPLAINABLE AI My research on eXplainable AI (XAI) helps me understand how AI systems make decisions, so I can trust and use them more confidently. When I know why/how an AI gave an answer, I can spot errors or biases and feel more secure relying on its help. MEDAI LAB RESEARCH GROUP The Medical Informatics and Artificial Intelligence (MedAI Lab) of the University of Murcia . Our team investigates and implements technology aimed at supporting decision-based medical tasks through knowledge and data-intensive computer-based solutions. Our research creates new avenues to help healthcare professionals in daily activity and critical decisions, fusing Medical Informatics and Artificial Intelligence technologies (aka Medical AI).

Was part of these groups: