Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology
Introduction Generating physician letters is a time-consuming task in daily clinical practice.
Methods This study investigates local fine-tuning of large language models (LLMs) …
Methods This study investigates local fine-tuning of large language models (LLMs) …
Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine
E Martens, HU Haase, G Mastella, A Henkel… - Frontiers in Digital …, 2024 - frontiersin.org
Introduction Today, modern technology is used to diagnose and treat cardiovascular
disease. These medical devices provide exact measures and raw data such as imaging data …
disease. These medical devices provide exact measures and raw data such as imaging data …
Patient-reported symptoms before adjuvant locoregional radiotherapy for breast cancer: triple-negative histology impacts the symptom burden
C Nieder, SK Johnsen, AM Winther… - Strahlentherapie und …, 2024 - Springer
Background Multimodal breast cancer treatment may cause side effects reflected in patient-
reported outcomes and/or symptom scores at the time of treatment planning for adjuvant …
reported outcomes and/or symptom scores at the time of treatment planning for adjuvant …