Latest AI and machine learning research in public health & policy for healthcare professionals.
Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency, characteriz...
In industry 4.0, where the automation and digitalization of entities and processes are fundamental, ...
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS le...
Proper insulin management is vital for maintaining stable blood sugar levels and preventing complica...
Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. A...
To assess the impact of a deep learning (DL) denoising reconstruction algorithm applied to identical...
The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus...
Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest ...
This study aimed to: (1) validate a natural language processing (NLP) system developed for the home ...
BACKGROUND: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial...
UNLABELLED: Effective policy to address the global threat of antimicrobial resistance requires robus...
Breast cancer risk prediction models based on common clinical risk factors are used to identify wome...
OBJECTIVE: This study aims to explore the opinions on the insurance coverage of artificial intellige...
There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical...
Accurately predicting the prognosis of Gastrointestinal stromal tumor (GIST) patients is an importan...
Artificial intelligence (AI) is increasingly used for diagnostic purposes in cancer care. Prostate c...
Accurately predicting population mortality rates is crucial for effective retirement insurance and e...
Violence has immediate and long-term repercussions for the health of individuals and communities. Re...
BACKGROUND: Health care-associated infection (HAI) surveillance is vital for safety in health care s...
This study presents a surveillance system developed for early detection of forest fires. Deep learni...
Source attribution has traditionally involved combining epidemiological data with different pathogen...