Artificial intelligence (AI) is intended to support clinicians, therapists, patients, hospital managers, and clinical data scientists at all levels. This includes, for example, making clinical diagnoses, understanding the causes of diseases, and planning clinical studies. The enormous increase in the importance of AI in medicine has led to the development of several guidelines (e.g.,...
Modern large language models (LLMs) have reshaped workflows of people across countless fields - and biostatistics is no exception. These models offer novel support in drafting study plans, generating software code, or writing reports. However, reliance on LLMs carries the risk of inaccuracies due to potential hallucinations that may produce fabricated "facts", leading to erroneous statistical...
Artificial intelligence (AI) is increasingly being used in various disciplines. Examples of this include medical image processing, complex prediction and decision support models and thereby integrating with the field of biostatistics. In this context, integrating AI and machine learning (ML) methods within courses of biostatistics taught to students of medicine, health and life sciences offers...
