6 documents found, page 1 of 1
A human-ai collaborative approach for clinical decision making on rehabilitatio...
Lee, Min Hun; Siewiorek, Daniel P. P.; Smailagic, Asim; Bernardino, Alexandre; Bermúdez i Badia, SergiAdvances in artificial intelligence (AI) have made it increasingly applicable to supplement expert’s decision-making in the form of a decision support system on various tasks. For instance, an AI-based system can provide therapists quantitative analysis on patient’s status to improve practices of rehabilitation assessment. However, there is limited knowledge on the potential of these systems. In this paper, we ...
An exploratory study on techniques for quantitative assessment of stroke rehabi...
Lee, Min Hun; Siewiorek, Daniel P.; Smailagic, Asim; Bernardino, Alexandre; Bermúdez i Badia, SergiTechnology-assisted systems to monitor and assess rehabilitation exercises have an opportunity of enhancing rehabilitation practices by automatically collecting patient’s quantitative performance data. However, even if a complex algorithm (e.g. Neural Network) is applied, it is still challenging to develop such a system due to pa tients with various physical conditions. The system with a complex algorithm is li...
Interactive hybrid approach to combine machine and human intelligence for perso...
Lee, Min Hun; Siewiorek, Daniel P.; Smailagic, Asim; Bernardino, Alexandre; Bermúdez i Badia, SergiAutomated assessment of rehabilitation exercises using machine learning has a potential to improve current rehabilitation practices. However, it is challenging to completely replicate therapist’s deci sion making on the assessment of patients with various physical conditions. This paper describes an interactive machine learning approach that iteratively integrates a data-driven model with ex pert’s knowledge to...
Co-design and evaluation of an intelligent decision support system for stroke r...
Lee, Min Hun; Siewiorek, Daniel P.; Smailagic, Asim; Bernardino, Alexandre; Bermúdez i Badia, SergiClinical decision support systems have the potential to improve work flows of experts in practice (e.g. therapist’s evidence-based rehabilitation assessment). However, the adoption of these systems is challenging, and the gains of these systems have not fully demonstrated yet. In this paper, we identified the needs of therapists to assess patient’s functional abilities (e.g. alternative perspectives with quanti...
Towards personalized interaction and corrective feedback of a socially assistiv...
Lee, Min Hun; Siewiorek, Daniel P.; Smailagic, Asim; Bernardino, Alexandre; Bermúdez i Badia, SergiA robotic exercise coaching system requires the capability of automatically assessing a patient’s exercise to in teract with a patient and generate corrective feedback. However, even if patients have various physical conditions, most prior work on robotic exercise coaching systems has utilized generic, pre-defined feedback. This paper presents an interactive approach that combines machine learning and rule-base...
Augmented Human Assistance (AHA)
Bermúdez i Badia, Sergi; Odekerken-Schröder, Gaby; Mahr, Dominik; Čaić, Martina; Lee, Min Hun; Siewiorek, Dan; Smailagic, Assim; Gamboa, HugoAging and sedentarism are two main challenges for social and health systems in modern societies. To face these challenges a new generation of ICT based solutions is being developed to promote active aging, prevent sedentarism and find new tools to support the large populations of patients that suffer chronic conditions as result of aging. Such solutions have the potential to transform healthcare by optimizing r...