Latest AI and machine learning research in surveillance for healthcare professionals.
Accurately and reliably detecting and recognizing human body movements in real time, relaying approp...
Radiology reports convey detailed clinical observations and capture diagnostic reasoning that evol...
The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...
The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sci...
The fashion industry is an extremely profitable market that generates trillions of dollars in reve...
Machine learning (ML) models rely heavily on consistent and accurate performance metrics to evalua...
Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...
: Upper tract urothelial carcinoma (UTUC) is one of the most underdiagnosed but, at the same time, o...
One of the major challenges in the field of computer vision especially for detection, segmentation...
Identifying systemic disease with medical imaging studies may improve population health outcomes. Al...
BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...
Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists...
Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early...
Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...
The deployment of traditional deep learning models in high-risk security tasks in an unlabeled, da...
Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...
The underground drilling environment in coal mines is critical and prone to accidents, with common a...
OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of...
: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...
OBJECTIVE: The purpose of this project was to implement a remote fetal surveillance unit with increa...
The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and ...