Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even clearer. Both LSTM and GRU demonstrated lower forecast errors than DFM and ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...