Latest AI and machine learning research in medicolegal for healthcare professionals.
We introduce a novel question-answering (QA) dataset using echocardiogram reports sourced from the Medical Information Mart for Intensive Care database. This dataset is specifically designed to enhance QA systems in cardiology, consisting of 771,244 QA pairs addressing a wide array of cardiac abnormalities and their severity. We compare large language models (LLMs), including open-source and bio...
With the acceleration of urbanization, modern urban traffic systems are becoming increasingly complex, leading to frequent traffic anomalies. These anomalies encompass not only common traffic jams but also more challenging issues such as phantom traffic jams, intersection deadlocks, and accident liability analysis, which severely impact traffic flow, vehicular safety, and overall transportation ...
Integrating blockchain technology into healthcare systems presents a transformative approach to documenting, storing, and accessing electronic healt...
Ensuring equitable Artificial Intelligence (AI) in healthcare demands systems that make unbiased decisions across all demographic groups, bridging t...
The rapid integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making and hospital operations. DeepSeek has...
Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day clinical practice tasks and instead rely on evalua...
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external examination of the corpse. Typically, this docume...
OntarioMD (OMD), a leader in digital health, focuses on harnessing artificial intelligence (AI) technologies to reduce administrative burden and enhan...
The role of ketone bodies in Alzheimers disease (AD) remains incompletely understood, particularly regarding their influence on amyloid pathology. W...
Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agents that can understand, reason about, and assist w...
Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. It is crucial that interventions are initiated as ...
OBJECTIVES: To quantify utilization and impact on documentation time of a large language model-powered ambient artificial intelligence (AI) scribe.
Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice. Current representative use cases for AI in thora...
Multimodal image registration plays a key role in creating digital patient models by combining data from different imaging techniques into a single ...
Despite progresses in data engineering, there are areas with limited consistencies across data validation and documentation procedures causing confu...
Tumor documentation in Germany is largely done manually, requiring reading patient records and entering data into structured databases. Large langua...
With the wide application of new technologies such as large language models and generative artificial intelligence (AI) in the health care sector, art...
Datasets play a critical role in medical imaging research, yet issues such as label quality, shortcuts, and metadata are often overlooked. This lack...
Digital Twin -- a virtual replica of a physical system enabling real-time monitoring, model updating, prediction, and decision-making -- combined wi...
Lattice structures have great potential for several application fields ranging from medical and tissue engineering to aeronautical one. Their develo...