Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
OBJECTIVES: To evaluate the FeelBetter machine learning system's ability to accurately identify olde...
INTRODUCTION: Developing accurate models for predicting the risk of 30-day readmission is a major he...
Machine Learning models trained from real-world data have demonstrated promise in predicting suicide...
Heart failure (HF) is a significant global public health concern with a high readmission rate, posin...
OBJECTIVE: It is difficult to predict which mechanically ventilated patients will ultimately require...
PURPOSE/OBJECTIVES: Admission into dental school involves selecting applicants for successful comple...
BACKGROUND: Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmo...
BACKGROUND: Governments worldwide are facing growing pressure to increase transparency, as citizens ...
Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal...
We present a case of a 75-year-old Asian woman with Guillain-Barré syndrome (GBS) who underwent a 1-...
BACKGROUND: Tuberculosis spondylitis (TS), commonly known as Pott's disease, is a severe type of ske...
Hydrological simulation in karstic areas is a hard task due to the intrinsic intricacy of these envi...
BACKGROUND: Despite low mortality for elective procedures in the United States and developed countr...
Discharge planning is integral to patient flow as delays can lead to hospital-wide congestion. Becau...
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learni...
The purpose of this study was to develop a machine learning model for predicting 30-day readmission ...
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU...
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thr...
BACKGROUND: Prolonged hospital stays after pediatric surgeries, such as tonsillectomy and adenoidect...
To explore the application efficacy and significance of deep learning in anesthesia management for g...
AIM: To give an insight into areas for future development and suggestions in the complexities of inc...