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# MED AI LAB

Medical Informatics + Artificial Intelligence

## Sitemaps

- [XML Sitemap](https://medailab.es/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [News](https://medailab.es/news/)
- [Flash Talks: Erica Raina](https://medailab.es/flash-talks-erica-raina/) - This week at our Medical AI and Coffee Flash Talks we had the opportunity to get to know Erica Raina, our visiting researcher from the University of Eastern Piedmont, Italy. She presented herself and her research to the group. She joined us in October and will be with us for 6 months. Erica is finalizing
- [New PhD Lorena Pujante](https://medailab.es/medai-spring-seminar-2025-2/) - Our PhD student Lorena Pujante successfully defended her thesis on using graphs to represent spatiotemporal information in epidemiology.Congratulations, Lorena!
- [Denisse Kim successfully defends her doctoral thesis](https://medailab.es/denisse-kim-successfully-defends-her-doctoral-thesis/) - This October, Denisse Kim presented her doctoral thesis titled "Simulation and Visualization of Spatial-Temporal Data in Hospital Infection Outbreaks". What's about... This doctoral thesis, situated in the field of Medical AI, investigates the generation of synthetic clinical datasets and the application of Information Visualization techniques in decision-support systems to assist in decision-making in hospitals in
- [MEDAILAB joins CAIRNE network](https://medailab.es/medailab-joins-cairne-network/) - As of December 11, 2024, MEDAILAB is proud to announce its membership in the CAIRNE network. CAIRNE, the Confederation of Laboratories for Artificial Intelligence Research in Europe, is an international non-profit association established by the European AI community. Its mission is to strengthen European excellence in AI research and innovation, with a dedicated focus on
- [MedAI Spring Seminar 2025](https://medailab.es/medai-spring-seminar-2025/) - As every year, this Spring we have organised our local seminar, dedicated to fostering interest and collaboration in Medical AI among students and early-career researchers. The MedAI seminars aim to create a relaxed, friendly space for open discussion on all aspects of Medical Informatics and Artificial Intelligence. Participants and talks Ivan Garcia, BSc: 'Subgroups discovery
- [MedAI Lab in La Opinión: Artificial Intelligence at the service of medicine](https://medailab.es/medai-lab-in-la-opinion-artificial-intelligence-at-the-service-of-medicine/) - This Sunday, the newspaper La Opinión de Murcia reported on the work of MedAI Lab at University of Murcia. What you will find... This article highlights the work of this research group to help solve everyday issues in clinical practice with AI-assisted programs. Specifically, it explains the use of AI in combination with medical informatics
- [MedAI Summer Seminar 2024](https://medailab.es/medai-summer-seminar/) - This summer we celebrated the MEDAI 2024 seminar. As every year, we learned about the progress made throughout the course in the MED AI Lab group, and we discussed future colaborations and research projects.
- [Antonio López successfully defends his doctoral thesis](https://medailab.es/antonio-lopez-phd-news/) - Last January, Antonio López presented his doctoral thesis titled "Clustering and Subgroup Discovery for Patient Phenotyping". What's about... This doctoral thesis, situated in the field of Medical AI, investigates the application of Machine Learning (ML) techniques, specifically clustering and subgroup discovery (SD), to support the patient phenotyping process in the context of antimicrobial resistance (AMR).
- [MedAI Seminars on Medical Informatics and Artificial Intelligence](https://medailab.es/lorem-ipsum-dolor-sit-amet-consectetuer-adipiscing-elit-2/) - In Spring we yearly organise our local seminar to promote the study and research of Medical AI between young researchers and students. The purpose of MedAI seminars is to provide a place for relaxed and friendly discussion on all aspects of Medical Informatics and Artificial Intelligence. This meeting provides attendees with an opportunity to learn more on the
- [XAI-HEALTHCARE WORKSHOP](https://medailab.es/lorem-ipsum-dolor-sit-amet-consectetuer-adipiscing-elit/) - Our Lab co-organises the Third intl. workshop on eXplainable Artificial Intelligence in Healthcare (XAI-Healthcare) during AIME 2023 in Portoroz, Slovenia. This workshop is organised in collaboration with Maribor University, Universidad Politecnica de Madrid and Universitat Politecnica de Catalunya. The purpose of XAI-Healthcare 2023 event is to provide a place for intensive discussion on all aspects of eXplainable
- [New project on AI-driven tools for trustworthy treatments](https://medailab.es/analysis-of-information-about-customers/) - Our lab is funded by EUniWell network to lead a new project on making AI more trustworthy in healthcare environments. This project is in collaboration with Semmelweis University, Linnaeus University and Nantes Université. Goal The aim of this project is to deliver an analytical guideline based on real use cases to improve confidence in the

## Pages

- [Home](https://medailab.es/) - Medical Artificial Intelligence Laboratory at the University of Murcia designs Medical Informatics and AI technology aimed at supporting medical tasks
- [People](https://medailab.es/people/) - Meet us People Dr. Jose M. Juarez Full professor, PIPersonal SiteTwitterLinkedinResearch gateScopusORCIDScholar Dr. Manuel Campos Full professorPersonal websiteTwitterLinkedinResearch gateScopusORCIDScholar Dr. Javier Bermúdez Associate ProfessorLinkedin Dr. Raquel Martínez ProfessorLinkedin Dr. Enrique Bernal-Morell, MD Associate professor, Head Internal Medicine Hospital Reina SofiaGlobe Dr. Antonio Morales Postdoctoral researcherPersonal websiteLinkedinResearch gateORCID Dr. Bernardo Canovas Assistant professorPersonal websiteTwitterLinkedinResearch gateORCID Dr.
- [Courses](https://medailab.es/courses/) - Seminars, Talks, WorkshopsCourses FRAMING TRUST ON MEDICAL AI. The 19th Advanced Course on AI (ACAI) is a specialized course in Artificial Intelligence sponsored by EurAI. The theme of the 2022 ACAI School is Explainable AI. Speaker: Jose M. Juarez. MORE INFO VIDEO EUNI AI WS: 1st EUniWell mini-workshop series - Impact of Artificial Intelligence on
- [Research](https://medailab.es/research/) - TOPICS AND PROJECTS Current Research Clinical Decision Support Systems ResearchProjectSitsusCategoryAntimicrobialsDetailsWe design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infectionsDate2019-2022More infoRead more Machine Learning based Phenotyping ResearchProjectImpact Td2CategoryPrecision medicineDetailsWe focus on
- [Publications](https://medailab.es/publications/) - Research objects Publications N Iglesias, JM Juarez, M Campos. Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis. Journal of Medical Internet Research 24 (9), e29927 2022. SITSUS PROJECT Isidoro J Casanova, Manuel Campos, Jose M Juarez, Antonio Gomariz, Marta Lorente-Ros, Jose A Lorente. Using the Diagnostic
- [For Students](https://medailab.es/for-students/) - GRADO, MASTER, DOCTORADO For students THANK YOU 🙂 For being so interested IN OUR GROUP!!! Successful career development requires quality specialization and mentoring relationships. We are always looking for excellent and motivated students interested in developping Artificial Intelligence and Machine Learning and making the world a better place with the techology. We yearly receive a
- [Products](https://medailab.es/products/) - software and tools Products WASPSS ProductsCategoryAntimicrobialsDetailsWASPSS software supports Antimicrobial Stewardship Program teams to ease their daily work. WASPSS software can be integrated with any data source of hospital settings, displaying the information needed by ASP teams. It uses alerts and alarms using Artificial Intelligence.More infoRead more
- [Join us](https://medailab.es/join-us/) - CONTACT US Join us Glad to hear from you. Questions about opportunities for collaboration, publications or products are welcome. If you are a student, please have a look to the section For Students. We do our best to get back to you as soon as we can. Because of the large email load that Dr.
- [Privacy Policy](https://medailab.es/privacy-policy/) - 1. Introduction ThemeRex (website url address: http://ancorathemes.com) appreciates your business and trust. We are Cyprus based company, creating products to enhance your website building experience. Please read this Privacy Policy, providing consent to both documents in order to have permission to use our services. 2. Data Collected Data Storage Location We are a Cyprus based

## My Templates

- [Cabeceras guay](https://medailab.es/?elementor_library=cabeceras-guay) - CONTACT US Join us
- [Contacto Planti](https://medailab.es/?elementor_library=contacto-planti) - Contact Us Get in touch Adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim. Adipiscing elit, sed do eiusmod tempor incididunt ut labore. Address Germany —785 15h Street, Office 478Berlin, De 81566 Contact Details info@yoursite.com +1 840 841 25 69
- [Planti Header](https://medailab.es/?elementor_library=planti-header) - Page (post) title
- [Kit por defecto](https://medailab.es/?elementor_library=kit-por-defecto)
- [Default Kit](https://medailab.es/?elementor_library=default-kit)

## Layouts

- [Header Main Dark](https://medailab.es/layouts/header-main-dark/) - Universidad de Murcia
- [Footer Style - 1](https://medailab.es/layouts/footer-style-1/) - manuelcampos@um.es Dr. Jose M. Juarez. jmjuarez@um.es Socials © Med AI Lab, © {{Y}}. University of Murcia. Diseño web Indipro
- [Header Main](https://medailab.es/layouts/header-main/) - Universidad de Murcia
- [Header Main Blanco](https://medailab.es/layouts/header-main-blanco/) - Universidad de Murcia

## Portfolio

- [AI-Driven Tools in Healthcare](https://medailab.es/portfolio/ai-driven-tools-in-healthcare/) - We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections
- [Clinical Decision Support Systems](https://medailab.es/portfolio/marketing-tips/) - We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections
- [Trust in Artificial Intelligence](https://medailab.es/portfolio/trust-in-artificial-intelligence/) - We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections
- [Machine Learning based Phenotyping](https://medailab.es/portfolio/machine-learning-based-phenotyping/) - We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections
- [WASPSS](https://medailab.es/portfolio/waspss/) - We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections

## Team

- [Dr. Enrique Bernal-Morell, MD](https://medailab.es/team/dr-enrique-berenal-morell-md/)
- [Dr. Raquel Martínez](https://medailab.es/team/dr-raquel-martinez/)
- [Dr. Javier Bermúdez](https://medailab.es/team/adelina-vivaldo/)
- [Dr. Manuel Campos](https://medailab.es/team/dr-manuel-campos/)
- [Rubén E. Muñoz](https://medailab.es/team/ruben-e-munoz/)
- [Dr. Antonio López](https://medailab.es/team/antonio-lopez/)
- [Santiago Méndez](https://medailab.es/team/santiago-mendez/)
- [Dr. Jose M. Juarez](https://medailab.es/team/dr-jose-m-juarez/)
- [Dr. Natalia Iglesias de Amunategui](https://medailab.es/team/dr-natalia-iglesias-de-amunategui/)
- [Dr. Guillermo Vigueras](https://medailab.es/team/dr-guillermo-vigueras/)
- [Dr. Humberto Garcia-Caballero](https://medailab.es/team/dr-humberto-garcia-caballero/)
- [Dr. Jose M. Gomez Verdu, MD](https://medailab.es/team/dr-jose-m-gomez-verdu-md/)
- [Dr. Sergio Aleman, MD](https://medailab.es/team/dr-sergio-aleman-md/)
- [Dr. Joquim Bravo-Urbieta](https://medailab.es/team/alvaro-riquelme-tornel/)
- [Dr. Isidoro Casanova](https://medailab.es/team/dr-isidoro-casanova/)
- [Dr. Antonio Gomariz](https://medailab.es/team/test-md/)
- [Francisco Mora-Caselles](https://medailab.es/team/francisco-jose-mora/)
- [Dr. Lorena Pujante-Otalora](https://medailab.es/team/lorena-pujante-otalora/)
- [Dr. Denisse Kim](https://medailab.es/team/denisse-kim/)
- [Dr. Bernardo Canovas](https://medailab.es/team/dr-bernardo-canovas/)
- [Dr. Amaya Jimeno, MD](https://medailab.es/team/dr-amaya-jimeno-md/)
- [Dr. Antonio Morales](https://medailab.es/team/dr-antonio-morales/)
- [Alberto Barba Nicolás](https://medailab.es/team/alberto-barba-nicolas/)
- [Rubén Martínez Martínez](https://medailab.es/team/ruben-martinez-martinez/)

## Categories

- [NEWS](https://medailab.es/category/news/)

## Tags

- [MED AI LAB](https://medailab.es/tag/med-ai-lab/)
- [AI](https://medailab.es/tag/ai/)
- [trustworthy AI](https://medailab.es/tag/trustworthy-ai/)
- [EUNIWELL](https://medailab.es/tag/euniwell/)
- [xai](https://medailab.es/tag/xai/)
- [explainable ai](https://medailab.es/tag/explainable-ai/)
- [ai workshop](https://medailab.es/tag/ai-workshop/)
- [xai-healthcare](https://medailab.es/tag/xai-healthcare/)

## Portfolio Group

- [Research](https://medailab.es/portfolio_group/research/)
- [Products](https://medailab.es/portfolio_group/products/)

## Team Group

- [MED AI LAB](https://medailab.es/team_group/med-ai-lab/)