Latest AI and machine learning research in medicolegal for healthcare professionals.
Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the w...
Privacy-preserving medical decision support for kidney disease requires localized deployment of la...
The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...
The exponential growth of unstructured text data presents a fundamental challenge in modern data m...
With the acceleration of urbanization, modern urban traffic systems are becoming increasingly comp...
Integrating blockchain technology into healthcare systems presents a transformative approach to do...
Ensuring equitable Artificial Intelligence (AI) in healthcare demands systems that make unbiased d...
The rapid integration of artificial intelligence (AI) into healthcare is transforming clinical dec...
Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day ...
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external...
The role of ketone bodies in Alzheimers disease (AD) remains incompletely understood, particularly...
Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agen...
Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. ...
OBJECTIVES: To quantify utilization and impact on documentation time of a large language model-power...
Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice...
Multimodal image registration plays a key role in creating digital patient models by combining dat...
Despite progresses in data engineering, there are areas with limited consistencies across data val...
Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...
With the wide application of new technologies such as large language models and generative artificia...
Datasets play a critical role in medical imaging research, yet issues such as label quality, short...
Digital Twin -- a virtual replica of a physical system enabling real-time monitoring, model updati...