Using artificial intelligence for better medical care

The digitalization of healthcare opens enormous opportunities. By combining health data and artificial intelligence (AI), while adhering to European data protection standards, more precise and faster diagnoses can be made. This enables individually tailored medical care. Bosch Research and the Bosch Health Campus (BHC), which includes the Robert Bosch Hospital in Stuttgart, have set themselves the goal of further utilizing this potential.

A significant step on this path involves new algorithms for well-known problems: On July 17 and 18, 2025, Bosch Research and the Bosch Health Campus therefore hosted a hackathon in Stuttgart, focusing on AI-supported solutions and new business models. The hackathon, titled "Entrepreneurship & AI Hackathon Bosch Research@Bosch Health Campus," aimed to strengthen cooperation between the two organizational units and promote innovations in key areas such as digitalization, AI, and healthcare.

Around 35 participants had the opportunity to choose between two "tracks": one group worked on AI methods in healthcare, while the other focused on future business models.

The working group on AI methodology focused on using current methods to support two specific application cases at Robert Bosch Hospital in the areas of cardiology and patient care. For example, the goal was to improve the diagnosis of heart diseases based on anonymized MRI data using AI; in patient care, the focus was on analyzing vital parameters of patients from the sleep lab even better and faster using artificial intelligence to prevent critical conditions. The teams' contributions during the hackathon ranged from extensive scientific analysis of data to the prototypical training of a so-called Foundation Model for detecting critical conditions on the BHC's protected server infrastructure.

The Entrepreneurship working group developed ideas for business models for new activities of Bosch and the Bosch Health Campus. For the application cases, both technical and business aspects were considered – with a consciously independent view of clinical and entrepreneurial framework conditions.

The approaches of all teams were presented at a final pitch event to a jury consisting of representatives from BHC and Bosch Research. This year, it was particularly important to have a clear focus on transparency and explainability of the approaches when presenting the results. The combination of BHC's medical expertise with Bosch Research's AI and business expertise allowed for effective integration of technology and application.