Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Current outcomes prediction tools are largely based on and limited by regression methods...
Correlation of pathology reports with radiology examinations has long been of interest to radiologis...
Structuring raw medical documents with ontology mapping is now the next step for medical intelligenc...
Frequent utilization of the Intensive Care Unit (ICU) is associated with higher costs and decreased ...
NimbleMiner is a word embedding-based, language-agnostic natural language processing system for clin...
Due to various etiologies and pathogenesis of kidney diseases, an invasive procedure called renal bi...
We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...
In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the gener...
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty....
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...
BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational c...
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar dis...
Nurses in a hospital are responsible for the monitoring and care of a large number of patients. Regu...
The objective of this study was to design and develop a 30-day risk of hospital readmission predicti...
Surgical site infections are an important health concern, particularly in low-resource areas, where ...
This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict...
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standar...
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal...
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific m...
Although machine learning is increasingly being applied to support clinical decision making, there i...
Electronic medical records (EMRs), such as hospital discharge summaries, contain a wealth of informa...