AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Timely diagnosis and frequent assessment are key to ensure timely and appropriate medical intervention, thus improving the quality of life of patients with PD. Objective: In this paper, we propose a ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...

SINGAPORE – Anxiety about transitions from school to work or community services, or between one job and another, is one of the top concerns for persons with disabilities (PWDs) and their caregivers.

Do you struggle to keep track of all the things you need to do in your professional and work life? The top task management apps we've tested help you stay on top of everything and complete tasks more ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

Abstract: Federated Learning (FL) is a framework for machine learning on a large-scale distributed dataset, enabling the training of a collaborative model across multiple parties while preserving the ...

Research methods and statistics are central to the development of professional competence and evidence based psychological practice. Furthermore, the ability to interpret and apply research findings ...

Do you get nervous and ramble during interviews? Or do you worry about what details to include and what to leave out when explaining your experience? Understanding and applying the STAR interview ...

we present YOLO-FD, a multi-task learning network specifically designed for simultaneous detection and segmentation. YOLO-FD extends the YOLOv8 backbone by integrating a novel semantic segmentation ...