Publications by authors named "F Lechner"
Background: Therapeutic digital health applications (DiGAs) are expected to significantly enhance access to evidence-based care. Since 2020, German physicians and psychotherapists have been able to prescribe approved DiGAs, which are reimbursed by statutory health insurance. This study investigates the usage, knowledge and perception of DiGAs as well as the growing digitalization among internal medicine physicians in Germany.
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- Pathogenic variants in the SLC34A1 and SLC34A3 genes, responsible for sodium-phosphate transport, lead to rare phosphate wasting conditions, primarily in children, with various clinical presentations and outcomes.
- A study analyzed data from 113 patients across 90 families, revealing distinct symptoms: SLC34A1 carriers mostly show issues in infancy, while SLC34A3 carriers experience symptoms into childhood and adulthood, including a significantly higher prevalence of chronic kidney disease in adulthood.
- Biochemical markers were similar for both groups, indicating some common underlying mechanisms, and phosphate treatment yielded partial improvements in certain enzyme levels but raised parathyroid hormone levels, suggesting a complex interaction between treatments and kidney function.
Article Synopsis
- Large language models (LLMs) have potential in breast cancer care decision-making but face challenges such as lack of source control, explainability, and health data security, which the small language model (SLM) aims to address through a tailored version (BC-SLM) for German guidelines.
- The study evaluates the BC-SLM's accuracy and functionality using a multidisciplinary tumor board as the gold standard, comparing its treatment recommendations against ChatGPT3.5 and 4 through statistical analysis involving fictional patient profiles.
- Results show that the BC-SLM achieved 86% concordance with the tumor board, similar to ChatGPT4 (90%) and slightly lower than ChatGPT3.5 (83%), indicating its initial effectiveness and adherence
The past decades have witnessed the rise and fall of several, largely unsuccessful, therapeutic attempts to bring the escalating obesity pandemic to a halt. Looking back to look ahead, the field has now put its highest hopes in translating insights from how the gastrointestinal (GI) tract communicates with the brain to calibrate behavior, physiology, and metabolism. A major focus of this review is to summarize the latest advances in comprehending the neuroendocrine aspects of this so-called 'gut-brain axis' and to explore novel concepts, cutting-edge technologies, and recent paradigm-shifting experiments.
View Article and Find Full Text PDFPurpose: This study investigated the concordance of five different publicly available Large Language Models (LLM) with the recommendations of a multidisciplinary tumor board regarding treatment recommendations for complex breast cancer patient profiles.
Methods: Five LLM, including three versions of ChatGPT (version 4 and 3.5, with data access until September 3021 and January 2022), Llama2, and Bard were prompted to produce treatment recommendations for 20 complex breast cancer patient profiles.