Latest AI and machine learning research in health policy for healthcare professionals.
Providing authoritative information tailored to a student's specific doubt is a hurdle in this era where search engines return an overwhelming number of article links. Large Language Models such as GPTs fail to provide answers to questions that were derived from sensitive confidential information. This information which is specific to some organisations is not available to LLMs due to privacy co...
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldwide, without adequate checkpoints. This is especially problematic for Global South countries which lack strong legislation to safeguard persons facing disparate performance of these systems. A combination of unavailabi...
Sri Lanka recently passed its first privacy legislation covering a wide range of sectors, including health. As a precursor for effective stakeholder...
We give the first almost-linear total time algorithm for deciding if a flow of cost at most $F$ still exists in a directed graph, with edge costs an...
The rapid development of artificial intelligence in the field of healthcare has greatly improved diagnosis accuracy, disease prediction, personalized ...
In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomize...
The European Union's General Data Protection Regulation (GDPR) strengthened several rights for individuals (data subjects). One of these is the data...
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice and research. The exponential rise in technology po...
OBJECTIVE: The global population is aging and the burden of lower urinary tract symptoms (LUTS) is expected to increase. According to the National Hea...
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this ...
Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancements in diagnosis, prediction, treatment, and outc...
As generative Artificial Intelligence (genAI) technologies proliferate across sectors, they offer significant benefits but also risk exacerbating di...
The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores ...
The use of Virtual Reality (VR) technologies has been extensively researched in surgical and anatomical education. VR provides a lifelike and intera...
There is an ongoing debate on balancing the benefits and risks of artificial intelligence (AI) as AI is becoming critical to improving healthcare de...
Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical co...
This study investigates the privacy risks associated with text embeddings, focusing on the scenario where attackers cannot access the original embed...
The popularity of Short form videos (SFV) has grown dramatically in the past few years, and has become a phenomenal video category with billions of ...
Large-scale multi-modal deep learning models have revolutionized domains such as healthcare, highlighting the importance of computational power. How...
The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries that have enabled clinicians to deliver therapies ...