[HTML][HTML] Review of Machine Learning solutions for Eating Disorders

S Ghosh, P Burger, M Simeunovic, J Maas… - International Journal of …, 2024 - Elsevier
Abstract Background Eating Disorders (EDs) are one of the most complex psychiatric
disorders, with significant impairment of psychological and physical health, and …

``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine

L Corti, R Oltmans, J Jung, A Balayn… - Proceedings of the CHI …, 2024 - dl.acm.org
Clinicians increasingly pay attention to Artificial Intelligence (AI) to improve the quality and
timeliness of their services. There are converging opinions on the need for Explainable AI …

[HTML][HTML] A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study

K Voigt, Y Sun, A Patandin, J Hendriks, RH Goossens… - JMIR cancer, 2025 - cancer.jmir.org
Background: The rising number of cancer survivors and the shortage of health care
professionals challenge the accessibility of cancer care. Health technologies are necessary …

Designing healthcare systems for earlier diagnosis and prevention of dementia

C Newton, J Jung, MS Kleinsmann… - Proceedings of the …, 2024 - cambridge.org
Recent clinical trials have successfully slowed Alzheimer's disease dementia progression,
but only in early-stage patients. Society must therefore shift to early diagnosis. By framing …

Development of a digital self-management tool for people with sarcoidosis

A Dunweg, V Kahlmann, H Kicken, N Jelicic… - publications.ersnet.org
Introduction: Sarcoidosis is a multisystem inflammatory disease, which often has a major
impact on patients' daily lives. A self-management tool, incorporating patients' daily needs …