The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …

We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …

Two main contributions of this paper are 1) the energy consumption of ships (ECS) in port is
predicted, 2) reduction strategies for energy consumption of ships in port are discussed by …

There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …

Artificial intelligence has become a ubiquitous term in radiology over the past several years,
and much attention has been given to applications that aid radiologists in the detection of …

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Background Incidental radiographic findings, such as adrenal nodules, are commonly
identified in imaging studies and documented in radiology reports. However, patients with …

Abstract Machine learning methods have recently achieved high-performance in biomedical
text analysis. However, a major bottleneck in the widespread application of these methods is …

Objectives The objective of this study is to build and evaluate a natural language processing
approach to identify medication mentions in primary care visit conversations between …

Pulmonary CTA is a commonly performed study and the radiologist's role is not limited to
simply producing a report. The process from identifying the appropriate patients who will …