Julia Amann
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View article: Operationalizing AI ethics in medicine—a co-creation workshop study
Operationalizing AI ethics in medicine—a co-creation workshop study Open
Background A majority of AI ethics frameworks focus on high-level principles but lack actionable guidance. Effectively implementing AI in projects requires the operationalization of AI ethics, translating principles into requirements. This…
View article: The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation
The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation Open
Artificial intelligence (AI) has the potential to revolutionize healthcare, for example via decision support systems, computer vision approaches, or AI-based prevention tools. Initial results from AI applications in healthcare show promise…
View article: Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients Open
This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the…
View article: Fostering ethical reflection on health data research through co-design: A pilot study
Fostering ethical reflection on health data research through co-design: A pilot study Open
Health research ethics training is highly variable, with some researchers receiving little to none, which is why ethical frameworks represent critical tools for ethical deliberation and guiding responsible practice. However, these document…
View article: How to Assess Trustworthy AI in Practice
How to Assess Trustworthy AI in Practice Open
This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the trustworthiness of AI-based technologies at different stages of the AI lifecycl…
View article: Digital twins and hybrid modelling for simulation of physiological variables and stroke risk
Digital twins and hybrid modelling for simulation of physiological variables and stroke risk Open
One of the more interesting ideas for achieving personalized, preventive, and participatory medicine is the concept of a digital twin. A digital twin is a personalized computer model of a patient. So far, digital twins have been constructe…
View article: Mental Health and Integration: A Qualitative Study on the Struggles of Recently Arrived Refugees in Germany
Mental Health and Integration: A Qualitative Study on the Struggles of Recently Arrived Refugees in Germany Open
Introduction: Forcibly displaced people are at particular risk of mental health problems and also face specific integration challenges upon resettlement. Existing literature suggests that there may be a bidirectional relationship between m…
View article: Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier Open
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning n…
View article: On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls Open
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause u…
View article: A qualitative study on resilience in adult refugees in Germany
A qualitative study on resilience in adult refugees in Germany Open
View article: Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic
Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic Open
View article: Too Vulnerable to Involve? Challenges of Engaging Vulnerable Groups in the Co-production of Public Services through Research
Too Vulnerable to Involve? Challenges of Engaging Vulnerable Groups in the Co-production of Public Services through Research Open
Involving the public in the co-production of research to inform public service delivery can help to ensure the appropriateness of services. However, vulnerable groups are often systematically excluded from these activities. To raise awaren…
View article: Addressing inclusivity in the new normal: Opportunities for remote co-design in health communication research
Addressing inclusivity in the new normal: Opportunities for remote co-design in health communication research Open
View article: Covid-19 on Twitter: an analysis of risk communication with visuals
Covid-19 on Twitter: an analysis of risk communication with visuals Open
Background: In a pandemic, when timely and clear communication is important, visuals on social media can help citizens quickly find and understand health risk information. In recognition of visuality and social media’s value during a crisi…
View article: Digital contact-tracing during the Covid-19 pandemic: An analysis of newspaper coverage in Germany, Austria, and Switzerland
Digital contact-tracing during the Covid-19 pandemic: An analysis of newspaper coverage in Germany, Austria, and Switzerland Open
Governments around the globe have started to develop and deploy digital contact tracing apps to gain control over the spread of the novel coronavirus (Covid-19). The appropriateness and usefulness of these technologies as a containment mea…
View article: Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Prevention
Machine Learning in Stroke Medicine: Opportunities and Challenges for Risk Prediction and Prevention Open
View article: Additional file 2 of Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic
Additional file 2 of Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic Open
Additional file 2: Table S9. Data from qualitative coding. Twitter usernames and all other identifiable information has been removed.
View article: 5.3 - Überwachung der Luftqualität in Innenräumen mittels komplexer Sensorsysteme und Deep Learning Ansätzen
5.3 - Überwachung der Luftqualität in Innenräumen mittels komplexer Sensorsysteme und Deep Learning Ansätzen Open
View article: Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study
Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study Open
Background Mobile health applications can offer tailored self-management support to individuals living with chronic health conditions. However, there are several challenges to the adoption of these technologies in practice. Co-design is a …
View article: Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective Open
View article: Digital contact-tracing during the Covid-19 pandemic: an analysis of newspaper coverage in Germany, Austria, and Switzerland
Digital contact-tracing during the Covid-19 pandemic: an analysis of newspaper coverage in Germany, Austria, and Switzerland Open
Governments around the globe have started to develop and deploy digital contact tracing apps to gain control over the spread of the novel coronavirus (Covid-19). The appropriateness and usefulness of these technologies as a containment mea…
View article: Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study (Preprint)
Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study (Preprint) Open
BACKGROUND Mobile health applications can offer tailored self-management support to individuals living with chronic health conditions. However, there are several challenges to the adoption of these technologies in practice. Co-design is a…
View article: Co-designing a Self-Management App Prototype to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Mixed Methods Study
Co-designing a Self-Management App Prototype to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Mixed Methods Study Open
Background Spinal cord injury is a complex chronic health condition that requires individuals to actively self-manage. Therefore, an evidence-based, self-management app would be of value to support individuals with spinal cord injury in th…
View article: Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study
Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study Open
Background Technological solutions, particularly mobile health (mHealth), have been shown to be potentially viable approaches for sustaining individuals’ self-management of chronic health conditions. Theory-based interventions are more suc…
View article: Visualizing an Ethics Framework: A Method to Create Interactive Knowledge Visualizations From Health Policy Documents
Visualizing an Ethics Framework: A Method to Create Interactive Knowledge Visualizations From Health Policy Documents Open
Background Data have become an essential factor in driving health research and are key to the development of personalized and precision medicine. Primary and secondary use of personal data holds significant potential for research; however,…
View article: The role of hope for health professionals in rehabilitation: A qualitative study on unfavorable prognosis communication
The role of hope for health professionals in rehabilitation: A qualitative study on unfavorable prognosis communication Open
The strategies identified here support a person-centered approach to the communication of prognosis and are in line with existing protocols for the communication of unfavorable medical information. The findings emphasize the need for stren…
View article: Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study (Preprint)
Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study (Preprint) Open
BACKGROUND Technological solutions, particularly mobile health (mHealth), have been shown to be potentially viable approaches for sustaining individuals’ self-management of chronic health conditions. Theory-based interventions are more su…
View article: How the General Data Protection Regulation changes the rules for scientific research: Study
How the General Data Protection Regulation changes the rules for scientific research: Study Open
View article: Views of Community Managers on Knowledge Co-creation in Online Communities for People With Disabilities: Qualitative Study
Views of Community Managers on Knowledge Co-creation in Online Communities for People With Disabilities: Qualitative Study Open
This paper draws attention to the currently under-investigated role of online communities as platforms for collaboration and co-creation between patients, health care professionals, researchers, and businesses. It describes community manag…
View article: Democratising Healthcare: The Role of eHealth Technologies in Driving Patient Participation
Democratising Healthcare: The Role of eHealth Technologies in Driving Patient Participation Open
Digital technologies are changing how we practice and experience healthcare. This review focusses on the role of eHealth technologies in facilitating patient participation within the healthcare process. The central claim of this paper is t…