Research in the medical / health science context plays an important role at OTH Regensburg in several faculties and with a great variety of topics. RCHST acts as a central contact, promoting and coordinating interdisciplinary research.
RCHST research projects
|TePUS Telepresence robots for the care and support of stroke patients
Telepresence robots are to be tested for their suitability for practical use. On the basis of these tests support services are to be delevoped. The project is carried out at OTH Regensburg, within the framework of the DeinHaus4.0 funding line in the administrative district of Upper Palatinate.
Ethics & Technology Assessment, Prof. Dr. Karsten Weber (Project lead) / Research associates: Gudrun Bahr (M.A.) (Project management), Vanessa Mücke (B.Sc.), Dr. Debora Frommeld
More information: TePUS DeinHaus4.0
|Artificial Intelligence and Ethics
Based on endoscopic images, a procedure for AI-assisted diagnosis of esophageal cancer is being developed, in cooperation with the University Hospital Augsburg (Prof. Dr. Messmann). With the help of this example, the normative questions of AI-assisted medical diagnoses will be investigated. In this context, a (preliminary) ethical guideline on how AI-assisted diagnostics may or should be used will be formulated as an orientation framework.
More information: Deep learning for computer-assisted early detection of esophageal cancer from endoscopic images
Development of an app to support physiotherapeutic care as part of a combination of physical and virtually supported therapy units. After a comprehensive examination, exercises are individually adapted to patients. The implementation and progress of measures carried out at home are documented. A real-time feedback should ensure adequate implementation.
|Biofluid Mechanics, Prof. Dr. Lars Krenkel / Research associate: Melina Tauwald (M.Sc.)
|Biomechanics, Prof. Dr. Sebastian Dendorfer / Research associate: Simon Auer (M.Sc.)
The influence of psychological stress on muscle control
|Medical Devices, Prof. Dr. Thomas Schratzenstaller / Research associate: Moritz Burger (M.Sc.)
MI Implant for orbital floor fractures
|ReMIC, Prof. Dr. Christoph Palm / Research associate: Robert Mendel (M.Sc.)
Image based early detection of cancer of Barrett's esophagus with semi-monitored learning algorithms
The performance of digital neural networks largely depends on the quality and quantity of the underlying data. However, in medicine, the creation of a comprehensive data set is associated with a high expenditure of time and money. Therefore in this project algorithms are developed that can learn from both annotated and non-annotated image material. This means that less annotated data is required for the same recognition rate.
|ReMIC, Prof. Dr. Christoph Palm / Research associate: David Rauber (M.Sc.)
Machine learning for scene segmentation in surgical robots
|eHealth, Prof. Dr. Georgios Raptis / Research associates: Markus Deglmann, Markus Ritthaler (M.Sc.), Julia Spornraft (B.Sc.), Jennifer Wolter (M.Sc.)
Sozialforschung, Prof. Dr. Sonja Haug / Research associate: Anna Scharf (M.A.)
Digital rehabilitation consil with connection to the telematics infrastructure
Project partners outside OTH:
|eHealth, Prof. Dr. Georgios Raptis / Research associate: Jennifer Wolter (M.Sc.)
Digital Nursing Counsil – Inter-sectoral communication and data exchange between outpatient / (partly) inpatient geriatric care and family doctor / specialist
The project "Digital Nursing Counsil" aims to network all relevant contact persons in the field of nursing in order to improve the care of people in need of care. With the help of a tele-consult (Pflegekonsil), nursing staff, general practitioners, specialists and, optionally, occupational physicians can work together better, more directly and faster than before, thus pooling their expertise for the benefit of their patients, increasing treatment efficiency and effectiveness. Part of this telemedical consultation is a "nursing app", which enables technically low-threshold "virtual home visits" and support in inpatient facilities or at home. Relatives also have access to this system. The position of the nursing staff, who are often the most important contact persons for the doctor, is strengthened by care-initiated consultation and treatment paths; experts in occupational medicine can be consulted alongside general practitioners and specialists. The treatment and care of the patient is carried out and documented via a decentralized "digital nursing consultation file", which has an innovative access system and can thus be used elsewhere in the health care system, e.g. in the future in the telematics infrastructure.
more information: Digital Care Counsil
|Technology Assessment, Prof. Dr. Karsten Weber / Research associates: Helene Gerhards (M.A.), Uta Bittner (M.A.), Linda Koott (M.A.)
Saving Autonomy: Assessing Patients' Capacity to Consent using Artificial Intelligence (SMART)
In addition, the supplementary module "Corona" will be carried out in 2021. SMART investigates the use of AI systems to determine the capacity of patients to give consent. In the medical context, capacity to consent is considered an expression of individual autonomy. However, the concept of autonomy is very complex; especially in times of crisis, as we are currently experiencing with the COVID-19 pandemic, or in times of rapid technological change, concepts such as autonomy also come under pressure. The additional module "Corona" therefore analyzes which dimensions the concept of autonomy encompasses, how technology and/or crises change it, and how this change possibly fuels political disputes about autonomy interventions.
more information: SMART
|Technology Assessment, Prof. Dr. Karsten Weber / Research associates: Uta Bittner (M.A.), Vasilija Rolfes (M.A.)
Ethical evaluation tools for the care and health sector
|Empirical Social Research, Prof. Dr. Sonja Haug / Research associate: Amelie Altenbuchner (M.A.)
Prospective study on the usability of activity trackers
|Logopedics, Prof. Dr. Norina Lauer / Research associates: Vera Leusch (M.Sc.), Daniel Kreiter (B.Sc.)
|Logopedics, Prof. Dr. Norina Lauer / Research associates: Daniel Kreiter (B.Sc.), Christina Kurfeß (M.Sc.)
Peer-to-peer support for aphasia to improve quality of life
Development and evaluation of an app especially for people with neurological speech disorders to support social integration and increase quality of life.
BMBF-funded joint project with Mainz Catholic University of Applied Sciences
|Nursing Science, Prof. Dr. Annette Meussling-Sentpali / Research associate: Stefan Schönstein (B.Sc.) until 09/2020
Research entry Nursing Science
|Nursing Science, Prof. Dr. Christa Mohr / Research associate: Markus Grebien (Dipl.Soz.) until 09/2019
Research entry Migration and Health