Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …

Background: The proportion of people in the United States who are members of at least two
ethnic groups is projected to increase to 10% by the year 2050. This makes addressing …

The widespread use of smartphones and the internet has enabled self-monitoring and more
hybrid-care models. The COVID-19 pandemic has further accelerated remote monitoring …

Background: The World Health Organization has projected that by 2030, chronic obstructive
pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh …

Patient telemonitoring results in an aggregation of significant amounts of information about
patient disease trajectory. However, the potential use of this information for early prediction …

Background: Chronic obstructive pulmonary disease (COPD) is a progressive, chronic
respiratory disease with a significant socioeconomic burden. Exacerbations, the sudden and …

Background: Successful management of chronic diseases requires a trustful collaboration
between health care professionals, patients, and family members. Scalable conversational …

Artificial intelligence in diagnosis of obstructive lung dis... : Current Opinion in Pulmonary
Medicine Artificial intelligence in diagnosis of obstructive lung disease: current status and future …

Introduction Early and accurate diagnosis of interstitial lung diseases (ILDs) remains a major
challenge. Better noninvasive diagnostic tools are much needed. We aimed to assess the …

The health care management and the medical practitioner literature lack a descriptive
conceptual framework for understanding the dynamic and complex interactions between …