Latest AI and machine learning research in health policy for healthcare professionals.
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Ensuring the safety of generated content remains a fundamental challenge for Text-to-Image (T2I) g...
Cache occupancy attacks exploit the shared nature of cache hierarchies to infer a victim's activit...
Recent advances in reinforcement learning (RL) have strengthened the reasoning capabilities of vis...
Restoring images afflicted by complex real-world degradations remains challenging, as conventional...
The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...
The integration of Large Language Models (LLMs) into healthcare holds significant potential to enh...
Overdiagnosis in cancer care remains a significant concern, often resulting in unnecessary physical,...
High-quality data annotation is an essential but laborious and costly aspect of developing machine...
The rapid advancement of AI-driven visual generation technologies has catalyzed significant breakt...
Handwritten Text Recognition (HTR) is essential for document analysis and digitization. However, h...
Scholar Inbox is a new open-access platform designed to address the challenges researchers face in...
Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become...
Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in va...
Loco-manipulation -- coordinated locomotion and physical interaction with objects -- remains a maj...
Health disparities (differences in non-genetic conditions that influence health) can be associated...
Accurate prediction of Length of Stay (LOS) in hospitals is crucial for improving healthcare servi...
Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...
The adaptation of a breast cancer detection platform based on artificial intelligence, designed for ...
Learning-based image compression methods have recently emerged as promising alternatives to tradit...