Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The use of ImageNet pre-trained networks is becoming widespread in the medical imaging community. It...
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standar...
This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict...
Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...
Surgical site infections are an important health concern, particularly in low-resource areas, where ...
The objective of this study was to design and develop a 30-day risk of hospital readmission predicti...
Nurses in a hospital are responsible for the monitoring and care of a large number of patients. Regu...
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar dis...
BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational c...
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty....
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal...
Although machine learning is increasingly being applied to support clinical decision making, there i...
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific m...
OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation ...
Electronic medical records (EMRs), such as hospital discharge summaries, contain a wealth of informa...
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous ...
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addit...
Safety and efficacy testing is a crucial part of the drug development process, and several different...
Social robotics is currently challenging researchers to look at virtually every topic with relevance...
The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We have obse...