5 citations · 12 across the 6 of their papers we have counts for
6 papers
Spezi Data Pipeline: Streamlining FHIR-based Interoperable Digital Health Data Workflows
Vasiliki Bikia, Paul Schmiedmayer, Aydin Zahedivash +6
The increasing adoption of digital health technologies has amplified the need for robust, interoperable solutions to manage complex healthcare data. We present the Spezi Data Pipel…
Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning
Leon Nissen, Philipp Zagar, Vishnu Ravi +5
The deployment of Large Language Models (LLM) on mobile devices offers significant potential for medical applications, enhancing privacy, security, and cost-efficiency by eliminati…
Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications
Philipp Zagar, Vishnu Ravi, Lauren Aalami +3
The ability of large language models (LLMs) to transform, interpret, and comprehend vast quantities of heterogeneous data presents a significant opportunity to enhance data-driven…
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Cyril Zakka, Joseph Cho, Gracia Fahed +9
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medica…
LLM on FHIR -- Demystifying Health Records
Paul Schmiedmayer, Adrit Rao, Philipp Zagar +4
Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solutio…
The Path to a Modular and Standards-based Digital Health Ecosystem
Paul Schmiedmayer, Vishnu Ravi, Oliver Aalami
Software engineering for digital health applications entails several challenges, including heterogeneous data acquisition, data standardization, software reuse, security, and priva…