Siemens Healthineers - AIRC — diagnostic UI design

During my year at Siemens Healthineers, I worked on several AI-powered imaging products, collaborating with various teams on complex diagnostic tools, including AI-Rad Companion (AIRC) for Brain MR and Chest CT, as well as MR Cardiac, a standalone diagnostic application.

AI-Rad Companion is a family of vendor-neutral, multi-organ AI solutions supporting radiologists in image-based clinical decision making. Each “Extension” targets a specific modality and body region, automatically detecting findings and providing structured results.

MR Cardiac enables radiologists to analyse and quantify cardiac MR images more efficiently and consistently, integrating AI-supported tools into multimodality reading workflows.

My work focused on UI design for highly specialised, multimodality diagnostic workflows — aiming to improve efficiency, interpretability, and user confidence through clear presentation of AI results and clinical metrics.

UI Design Lead for complex, multimodality diagnostic workflows, ensuring clarity and consistency in high-stakes clinical contexts.

Cross-functional collaboration with UX PMs, researchers, and development teams in Germany and India to align user needs, technical feasibility, and product vision.

Bridge to SHUI Design System, contributing improvements and ensuring cross-project alignment.

Took over UX Manager and Interaction Design responsibilities during leaves, maintaining progress and stakeholder engagement.

Presented concepts and prototypes to stakeholders and focus groups, aligning on usability and direction.

Supported developer collaboration through structured handoffs, reviews, and iterative feedback to secure high design fidelity.

Actively contributed to the UX pattern library, strengthening shared design practices and cross-project alignment.

Strengthened cross-team design alignment by contributing to the UX pattern library and promoting shared UI patterns across projects.

Improved design quality and consistency through stronger SHUI integration and aligned UI patterns.

Accelerated collaboration with development teams, reducing rework and ensuring higher implementation fidelity.

Increased stakeholder confidence through transparent communication, validated prototypes, and clear design rationale.

Enhanced usability and efficiency in diagnostic workflows — helping radiologists interpret results faster and with greater confidence.