Integrating modern machine learning and clinical decision-making has great promise for
mitigating healthcare's increasing cost and complexity. We introduce the Enhanced …

Infectious disease threats to individual and public health are numerous, varied and
frequently unexpected. Artificial intelligence (AI) and related technologies, which are already …

Abstract Machine learning has increasingly been applied to predict opioid-related harms
due to its ability to handle complex interactions and generating actionable predictions. This …

The present paper introduces a novel approach to studying social media habits through
predictive modeling of sequential smartphone user behaviors. While much of the literature …

Mobile devices, especially smartphones, can support rich functions and have developed into
indispensable tools in daily life. With the rise of generative AI services, smartphones can …

Why are some life outcomes difficult to predict? We investigated this question through in-
depth qualitative interviews with 40 families sampled from a multidecade longitudinal study …

The advancement of Artificial Intelligence (AI) poses challenges in the field of bioethics,
especially concerning issues related to life and death. AI has permeated areas such as …

Clinical decision-making is a crucial aspect of health care, involving the balanced
integration of scientific evidence, clinical judgment, ethical considerations, and patient …

This study applies network theory to registry data to identify prospective differences between
individuals who develop long-term pain later in life and those who do not. The research is …