This dissertation evaluates how the decision-making regarding blood transfusion is done in trauma care and what variables are used. Then the variables discovered in the f [...]

Patient data entry burden remains a challenge. This study evaluated vector embedding search and large language models (LLMs) for automated schema matching between medical [...]

The field of microbiome research has grown exponentially in both popularity and importance over the past decade. Microbiome data consists of highly dimensional and comple [...]

Patients on prescription opioids for pain can develop opioid use disorder (OUD) from extended use. Such patients are at increased risk for opioid overdose deaths contribu [...]

The global rise of text entry modalities that are not desktop QWERTY keyboards—and therefore exhibit significant uncertainty in input actions—has created enormous opportu [...]

The input data for real-time natural language processing applications, such as simultaneous speech-to-speech translation systems, often arrives as a continuous stream wit [...]

Information overload in the biomedical domain is a well-researched problem of the last several decades but its pace of expansion has increased exponentially. Continued [...]

Anomia is the inability to access and retrieve the intended words during language production, and is a cardinal feature of the acquired neurogenic language disorder known [...]

Artificial intelligence (AI) is profoundly impacting both the practice of health professionals as well as how such professionals are educated. All 21st century health pro [...]

Despite growing concomitant use of opioids and methamphetamines and other stimulants, documentation of this polysubstance use in the electronic health record (EHR) is not [...]