Abstract
The CAncer PAtient Better Life Experience (CAPABLE) project combines the most advanced technologies for data and knowledge management with a socio-psychological approach, to develop a coaching system for improving the quality of life of cancer patients managed at home. The team includes complementary expertise in data- and knowledge-driven AI, data integration, telemedicine and decision support. The time is right to fully exploit Artificial Intelligence for cancer care and bring the benefits right to patients’ homes. CAPABLE relies on predictive models based on both retrospective and prospective data, integrated with computer interpretable guidelines and made available to oncologists. CAPABLE’s Virtual Coach component identifies unexpected needs and provides patient-specific decision support and lifestyle guidance to improve mental and physical wellbeing of patients. The demo, designed around a use-case scenario developed with clinicians involved in the project, addresses the ESMO Diarrhea guideline. It revolves around a prototypical fictional patient named Maria. Maria, 66, is affected by renal cell carcinoma and moderate insomnia. The demo follows Maria during the first three days of using the CAPABLE system. This allows the audience to understand the scope and innovation behind this AI-based decision-support and coaching system that personalizes lifestyle and medication interventions to patients, their carer and clinicians.
Original language | English |
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Title of host publication | Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Proceedings |
Editors | Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riaño |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 298-303 |
Number of pages | 6 |
ISBN (Print) | 9783030772109 |
DOIs | |
State | Published - 2021 |
Event | 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 - Virtual, Online Duration: 15 Jun 2021 → 18 Jun 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12721 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 |
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City | Virtual, Online |
Period | 15/06/21 → 18/06/21 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- AI
- Cancer
- Coaching
- FAIR
- FHIR
- Guideline
- OMOP
- Personalization
- Side effects
- mHealth
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science