Julia-Astrid Moldt

Julia-Astrid Moldt
Universitätsklinikum Tübingen · Institute for Medical Education

Master of Arts
Currently doing my phD

About

11
Publications
1,186
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124
Citations

Publications

Publications (11)
Article
Full-text available
Background The increasing importance of artificial intelligence (AI) in health care has generated a growing need for health care professionals to possess a comprehensive understanding of AI technologies, requiring an adaptation in medical education. Objective This paper explores stakeholder perceptions and expectations regarding AI in medicine and...
Article
Als soziale Ereignisse werden Schwangerschaft und Geburt von Werten und Normen, ritualisierten Verhaltensweisen sowie Rollenerwartungen beeinflusst. Dies wirkt sich auch auf die Vorsorge und Betreuung durch Hebammen aus. Denn diese Fachgruppe nimmt eine zentrale Rolle im geschlechts- und familiensoziologischen Diskurs ein.
Article
Background Communication is a core competency of medical professionals and of utmost importance for patient safety. Although medical curricula emphasize communication training, traditional formats, such as real or simulated patient interactions, can present psychological stress and are limited in repetition. The recent emergence of large language m...
Preprint
Full-text available
BACKGROUND Communication is a core competency of medical professionals and of utmost importance for patient safety. Although medical curricula emphasize communication training, traditional formats, such as real or simulated patient interactions, can present psychological stress and are limited in repetition. The recent emergence of large language m...
Preprint
In this paper, we present two approaches and algorithms that adapt areas of interest We present a new deep neural network (DNN) that can be used to directly determine gaze position using EEG data. EEG-based eye tracking is a new and difficult research topic in the field of eye tracking, but it provides an alternative to image-based eye tracking wit...
Preprint
In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking recordings. For each segment of the temporal partition, a probability distribution of pupil size is computed and stored. These probability distributions can then be used...
Preprint
In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classification task. The first approach uses feature importance in a greedy way and grows or shrinks AOIs in all directions. The second approach is an extension of the first appr...
Article
Full-text available
Artificial intelligence (AI) in medicine and digital assistance systems such as chatbots will play an increasingly important role in future doctor – patient communication. To benefit from the potential of this technical innovation and ensure optimal patient care, future physicians should be equipped with the appropriate skills. Accordingly, a suita...
Article
Full-text available
Objective Digital transformation in higher education has presented medical students with new challenges, which has increased the difficulty of organising their own studies. The main objective of this study is to evaluate the effectiveness of a chatbot in assessing the stress levels of medical students in everyday conversations and to identify the m...

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