Latest AI and machine learning research in public health & policy for healthcare professionals.
As image processing systems proliferate, privacy concerns intensify given the sensitive personal i...
Understanding and predicting human behavior has emerged as a core capability in various AI applica...
The low-altitude economy has emerged as a critical focus for future economic development, emphasiz...
Practical applications of computer vision in smart cities usually assume system integration and op...
The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...
BACKGROUND AND AIMS: A life-threatening vector-borne disease, dengue fever (DF), poses significant g...
INTRODUCTION: Neurodegenerative diseases (NDDs) are chronic diseases caused by brain neuron degenera...
OBJECTIVE: This study evaluates the integration of electronic health records (EHRs) and natural lang...
This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...
The success of face recognition (FR) systems has led to serious privacy concerns due to potential ...
AIMS: Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics an...
This paper explores the strategic use of modern synthetic data generation and advanced data pertur...
Cashierless stores rely on computer vision and RFID tags to associate shoppers with items, but con...
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacit...
Advances in third-generation sequencing have enabled portable and real-time genomic sequencing, bu...
Since the 1990s, the integration of technology into daily life has led to the creation of an exten...
Objective: Healthcare data fragmentation presents a major challenge for linking patient data, nece...
Nowadays, social media is the main tool in our new lives. The outbreak news and all related obtain...
We present an autonomous aerial surveillance platform, Veg, designed as a fault-tolerant quadcopte...
Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkille...
The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...