Latest AI and machine learning research in public health & policy for healthcare professionals.
Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates biological ageing that has been linked to the risk of mortality and chronic disease. We aimed to identify risk factors associated with higher RAG in an Australian population. This cross-sectional study included 5107 participants from the Busselton Healthy Ageing Study (BHAS), a Western Australian comm...
OBJECTIVE: Detecting objects is a core challenge in computer vision and plays a vital role in applications like self-driving cars, traffic surveillance, and smart transportation networks. Accurate vehicle object detection is essential for various applications such as autonomous driving, traffic surveillance, and intelligent transportation systems. METHOD: This research proposes an optimization-bas...
BACKGROUND: Alzheimer disease and related dementias are increasing worldwide, with early detection during the mild cognitive impairment (MCI) stage cr...
Ensuring trust in AI systems is essential for the safe and ethical integration of machine learning (ML) systems into high-stakes domains such as digit...
AIM: This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically ...
Brucellosis is an important zoonotic disease affecting humans, livestock, and wildlife, yet prevalence estimates in wild species are often underestima...
Reliable crop yield estimates at fine spatial resolution are essential for precision agriculture, food security planning, and insurance schemes. Howev...
Poliomyelitis remains a global public health concern despite remarkable progress toward eradication. The continued circulation of vaccine-derived poli...
INTRODUCTION: The importation of infectious diseases has increased dramatically in recent years. The diagnosis of such diseases has traditionally been...
BACKGROUND: Chronic back pain is a severe health condition with underlying biopsychosocial factors that make diagnosis difficult, and pain chronicity ...
Retroperitoneal leiomyosarcoma (RLS) is a rare and aggressive subtype of soft tissue sarcoma with limited population-level evidence guiding surgical d...
In social science and epidemiological research, individual risk factors for mortality are often examined in isolation, while approaches that consider ...
Smart farming technologies significantly enhance medicinal plant cultivation by improving yield, quality, and sustainability, while addressing traditi...
BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...
Infectious diseases (IDs) pose a significant global health threat, exacerbated by the rise of multidrug-resistant (MDR) and antimicrobial-resistant (A...
BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because of their subclinical extension and ill-defined mar...
Artificial intelligence (AI) is no longer just a passing trend. It is slowly becoming an integral part of our daily lives and our medical practice. AI...
Wearable biosensors have revolutionized healthcare by enabling continuous, minimally invasive monitoring of health parameters. While traditional weara...
Neglected infectious diseases (NIDs) remain a major public health challenge in the Amazon, particularly among quilombola populations living in rural a...
Artificial intelligence triage in general practice is developing rapidly within the primary care digital transformation, promising efficiency gains an...