Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Abstract: With the rapid growth of automated retail and smart supermarkets, commodity package recognition faces challenges like complex backgrounds, multi-scale targets, and dense occlusion. To ...
In-depth analysis and peer practice for 10,000+ risk and compliance leaders. HQP benchmarking, LPEC certification, and the ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...
Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...
Abstract: This paper presents a hybrid CNN-BiLSTM model for surface Electromyography (sEMG) signal classification towards bio-robotic applications. The EMG signals were segmented into four-channels, ...
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