Georg Michael Joachim Starke

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The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent brain- ...

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 significant barrier to the ...

IntroductionThreat processing, enabled by threat circuits, is supported by a remarkably conserved neural architecture across mammals. Threatening stimuli relevant for most species include the threat of being attacked by a predator or an aggressive conspeci ...

The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Mu ...

The increasing implementation of programs supported by machine learning in medical contexts will affect psychiatry. It is crucial to accompany this development with careful ethical considerations informed by empirical research involving experts from the fi ...

Using artificial intelligence to improve patient care is a cutting-edge methodology, but its implementation in clinical routine has been limited due to significant concerns about understanding its behavior. One major barrier is the explainability dilemma a ...

Machine Learning (ML) is on the rise in medicine, promising improved diagnostic, therapeutic and prognostic clinical tools. While these technological innovations are bound to transform health care, they also bring new ethical concerns to the forefront. One ...

The pace of scientific advancements in medicine, driven by artificial intelligence as much as by novel biotechnologies, demands an ever-faster update of professional knowledge from physicians and collaboration in interdisciplinary teams. At the same time, ...

The aim of the study is to encourage a critical debate on the use of normality in the medical literature on DSD or intersex. For this purpose, a scoping review was conducted to identify and map the various ways in which "normal" is used in the medical lite ...

Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor–patient relationships, trust is therefore regularly suggested as a way of dealing ...

Neurotechnology and Artificial Intelligence (AI) have developed rapidly in recent years with an increasing number of applications and AI-enabled devices that are about to enter the market. While promising to substantially improve quality of life across var ...

BackgroundThe rise of a new generation of intelligent neuroprostheses, brain-computer interfaces (BCI) and adaptive closed-loop brain stimulation devices hastens the clinical deployment of neurotechnologies to treat neurological and neuropsychiatric disord ...

Assistive systems based on Artificial Intelligence (AI) are bound to reshape decision-making in all areas of society. One of the most intricate challenges arising from their implementation in high-stakes environments such as medicine concerns their frequen ...

Georg Michael Joachim Starke

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Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Human threat circuits: Threats of pain, aggressive conspecific, and predator elicit distinct BOLD activations in the amygdala and hypothalamus

Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts

Explainability as fig leaf? An exploration of experts’ ethical expectations towards machine learning in psychiatry

Re-focusing explainability in medicine

Towards a pragmatist dealing with algorithmic bias in medical machine learning

Epistemic humility meets virtual reality: teaching an old ideal with novel tools

"Waking up" the sleeping metaphor of normality in connection to intersex or DSD: a scoping review of medical literature

Intentional machines: A defence of trust in medical artificial intelligence

HYBRIDMINDS-summary and outlook of the 2023 international conference on the ethics and regulation of intelligent neuroprostheses

Qualitative studies involving users of clinical neurotechnology: a scoping review

Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine

Potentially Perilous Preference Parrots: Why Digital Twins Do Not Respect Patient Autonomy