Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
Biological research spans scales and methodologies, generating complex data visualizations such as...
This case study describes how one educator approached the incorporation of generative AI into a grad...
2023 was the year the world woke up to generative AI, and 2024 is the year policymakers are respon...
As the U.S. Census Bureau implements its controversial new disclosure avoidance system, researcher...
To address the rapid evolution of artificial intelligence in medical imaging, the authors present th...
Large language models (LLMs) use autoregression to generate text in response to queries. Crafting an...
Tuberculosis, which primarily affects developing countries, remains a significant global health conc...
To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...
BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic ...
Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...
In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing...
OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerni...
Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to...
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the ...
IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and h...
High-quality research is essential in guiding evidence-based care, and should be reported in a way t...
Machine learning algorithms are being used to screen and diagnose disease, prognosticate and predict...
PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI)...