This paper presents an overview of the usability engineering process for the development of a personalised clinical decision support system for the management of type 1 diabetes. The tool uses artificial intelligence (AI) techniques to provide insulin bolus dose advice and carbohydrate recommendations that adapt to the individual. We describe the role of human factors and user-centred design in the creation of medical systems that must adhere to international standards. We focus specifically on the formative evaluation stage of this process. The preliminary analysis of data shows promising results
Diabetes management is a difficult task for patients, who must monitor and control their blood gluco...
We present a successful application of Artificial Intelligence (AI) methodologies in the context of ...
This paper presents a case study about the initial phases of the interface design for an artificial ...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded resear...
In the past decade diabetes management has been transformed by the addition of continuous glucose mo...
Diabetes type 1 is an autoimmune, incurable disease which requires careful monitoring and treatment ...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded resear...
Artificial intelligence methods in combination with the latest technologies, including medical devic...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and inno...
This thesis looks at the utility of Artificial Intelligence (AI) for diabetes self-management and in...
Computers now pervade the field of medicine extensively; one recent innovation is the development of...
The discourse amongst diabetes specialists and academics regarding technology and artificial intelli...
Mobile health platforms offer significant opportunities for improving diabetic self-care, but only i...
The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad ho...
Mobile health applications for diabetes are developed like never before and many patients use them f...
Diabetes management is a difficult task for patients, who must monitor and control their blood gluco...
We present a successful application of Artificial Intelligence (AI) methodologies in the context of ...
This paper presents a case study about the initial phases of the interface design for an artificial ...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded resear...
In the past decade diabetes management has been transformed by the addition of continuous glucose mo...
Diabetes type 1 is an autoimmune, incurable disease which requires careful monitoring and treatment ...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded resear...
Artificial intelligence methods in combination with the latest technologies, including medical devic...
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and inno...
This thesis looks at the utility of Artificial Intelligence (AI) for diabetes self-management and in...
Computers now pervade the field of medicine extensively; one recent innovation is the development of...
The discourse amongst diabetes specialists and academics regarding technology and artificial intelli...
Mobile health platforms offer significant opportunities for improving diabetic self-care, but only i...
The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad ho...
Mobile health applications for diabetes are developed like never before and many patients use them f...
Diabetes management is a difficult task for patients, who must monitor and control their blood gluco...
We present a successful application of Artificial Intelligence (AI) methodologies in the context of ...
This paper presents a case study about the initial phases of the interface design for an artificial ...
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