Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …

Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …

Background: Artificial intelligence (AI) enables remote patient monitoring (RPM) which
reduces costs by triaging patients to optimize hospitalization and avoid complications. The …

Importance Early detection of pneumothorax, most often via chest radiography, can help
determine need for emergent clinical intervention. The ability to accurately detect and rapidly …

Despite the renewed interest in Artificial Intelligence-based clinical decision support systems
(AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This …

Purpose There is a growing body of diagnostic performance studies for emergency
radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is …

Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …