Philipp Kellmeyer
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Human brain slice cultures: translational applications and ethical considerations Open
Human organotypic brain slice cultures have emerged as a pivotal tool to study the complexities of the human brain. Human organotypic brain slice cultures preserve the structural integrity, cellular diversity, and vascular networks of livi…
View article: Digitalizing informed consent in healthcare: a scoping review
Digitalizing informed consent in healthcare: a scoping review Open
Background Traditional paper-based informed consent for medical procedures poses a number of challenges, such as low comprehensibility, lack of customization, and limited time for discussion with medical staff. Digitalization, especially i…
Participatory Design of an AI-Based CDSS for Delirium Prevention Open
Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and cognitive impairment. The KIDELIR project aims to develop a clinical decision support system (CDSS) based on artificial intelligence (AI) …
Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study Open
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by develop…
Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts Open
Background The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation of health systems worldwide. Despite the potential benefits across diverse medical domains, a significan…
Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review Open
Background The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These …
Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review Open
Background In the last few years, there has been an increasing interest in the development of artificial intelligence (AI)–based clinical decision support systems (CDSS). However, there are barriers to the successful implementation of such…
Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review (Preprint) Open
BACKGROUND The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These…
Post-trial access to implantable neural devices: an exploratory international survey Open
Objectives Clinical trials of innovative neural implants are rapidly increasing and diversifying, but little is known about participants’ post-trial access to the device and ongoing clinical care. This exploratory study examines common pra…
Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review (Preprint) Open
BACKGROUND In the last few years, there has been an increasing interest in the development of artificial intelligence (AI)–based clinical decision support systems (CDSS). However, there are barriers to the successful implementation of suc…
View article: Interdisciplinary perspectives on digital technologies for global mental health
Interdisciplinary perspectives on digital technologies for global mental health Open
Digital Mental Health Technologies (DMHTs) have the potential to close treatment gaps in settings where mental healthcare is scarce or even inaccessible. For this, DMHTs need to be affordable, evidence-based, justice-oriented, user-friendl…
View article: Collective intelligence is needed to ensure beneficial Artificial Intelligence
Collective intelligence is needed to ensure beneficial Artificial Intelligence Open
The fourth Intercontinental Academia (ICA4) "Intelligence and artificial intelligence" (2020-2021) identified four thematic priorities for future AI research: (1) developing an ontology of AI systems to assess their agency in performing co…
View article: Minding Rights: Mapping Ethical and Legal Foundations of ‘Neurorights’
Minding Rights: Mapping Ethical and Legal Foundations of ‘Neurorights’ Open
The rise of neurotechnologies, especially in combination with artificial intelligence (AI)-based methods for brain data analytics, has given rise to concerns around the protection of mental privacy, mental integrity and cognitive liberty –…
Technical report: surgical preparation of human brain tissue for clinical and basic research Open
Background The study of the distinct structure and function of the human central nervous system, both in healthy and diseased states, is becoming increasingly significant in the field of neuroscience. Typically, cortical and subcortical ti…
Can robots be trustworthy? Open
Definition of the problem This article critically addresses the conceptualization of trust in the ethical discussion on artificial intelligence (AI) in the specific context of social robots in care. First, we attempt to define in which res…
AMJ volume 49 issue 1 Cover and Back matter Open
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View article: Minding rights: Mapping ethical and legal foundations of 'neurorights'
Minding rights: Mapping ethical and legal foundations of 'neurorights' Open
The rise of neurotechnologies, especially in combination with AI-based methods for brain data analytics, has given rise to concerns around the protection of mental privacy, mental integrity and cognitive liberty - often framed as 'neurorig…
‘Neurorights’ Open
In this chapter, Philipp Kellmeyer discusses how to protect mental privacy and mental integrity in the interaction of AI-based neurotechnology from the perspective of philosophy, ethics, neuroscience, and psychology. The author argues that…
Introduction Open
In the past decade, Artificial Intelligence (AI) as a general-purpose tool has become a disruptive force globally. By leveraging the power of artificial neural networks, deep learning frameworks can now translate text from hundreds of lang…
Neurofeminism: Feminist critiques of research on sex/gender differences in the neurosciences Open
Over the last three decades, the human brain and its role in determining behavior have been receiving a growing amount of attention in academia as well as in society more generally. Neuroscientific explanations of human behavior or other p…
A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications Open
Brain-Computer Interfaces (BCIs) comprise a rapidly evolving field of technology with the potential of far-reaching impact in domains ranging from medical over industrial to artistic, gaming, and military. Today, these emerging BCI applica…
Fairness and Bias in Robot Learning Open
Machine learning has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. Recent works in various machine learning domains have highligh…
Towards a Toolbox for Privacy-Preserving Computation on Health Data Open
Substantial advances in methods of collecting and aggregating large amounts of biomedical data have been met with insufficient measures of protecting it from unwarranted access and use. Most of the current layers of protection are merely a…
MedSentinel – A Smart Sentinel for Biomedical Online Search Demonstrated by a COVID-19 Search Open
We present a work-in-progress software project which aims to assist cross-database medical research and knowledge acquisition from heterogeneous sources. Using a Natural Language Processing (NLP) model based on deep learning algorithms, to…
The spatial scale dimension of speech processing in the human brain Open
In the past three decades, neuroimaging has provided important insights into structure-function relationships in the human brain. Recently, however, the methods for analyzing functional magnetic resonance imaging (fMRI) data have come unde…
Introduction to the special issue ‘digital behavioral technologies, vulnerability, and justice’ Open
This short introduction presents the theme of the special issue and provides a preview of the articles.
Digital behavioral technology, vulnerability and justice: towards an integrated approach Open
The paper introduces the notion of 'digital behavioral technologies' and discusses them from the perspectives of vulnerability and justice, thereby integrating perspectives from bioethics or public health ethics and political philosophy. D…