The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …

Abstract Background: Electronic health records (EHRs) are generated at an ever-increasing
rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' …

With the power of parallel processing, large datasets, and fast computational resources,
deep neural networks (DNNs) have outperformed highly trained and experienced human …

Monitoring aircraft structural health with changing loads is critical in aviation and aerospace
engineering. However, the load equation needs to be calibrated by ground testing which is …

The growing availability of well-organized Electronic Health Records (EHR) data has
enabled the development of various machine learning models towards disease risk …

Data is essential to performing time series analysis utilizing machine learning approaches,
whether for classic models or today's large language models. A good time-series dataset is …

Healthcare data accumulation over time, particularly in Electronic Health Records (EHRs),
plays a pivotal role by offering a vast repository of patient data with the potential to enhance …

Background: There has been a rapid growth in the application of structured Electronic
Health Records (EHRs) to healthcare systems, where huge amounts of diagnosis codes …

Цель представленного обзора—анализ современной литературы по оценке
возможностей искусственного интеллекта в диагностике кровотечений из желудочно …