Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
UNLABELLED: Out-of-hospital cardiac arrest (OHCA) is a critical condition with low survival rates. I...
Emerging Industry 5.0 designs promote artificial intelligence services and data-driven applications ...
INTRODUCTION: Delays in discharging patients from Acute Medical Units hamper patient flows throughou...
INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for pat...
INTRODUCTION: Early-stage lung cancer diagnosis through detection of nodules on computed tomography ...
BACKGROUND: Predicting an individual's risk of death from COVID-19 is essential for planning and opt...
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplin...
BACKGROUND: Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospital...
The widespread adoption of robotic technologies in healthcare has opened up new perspectives for enh...
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients wit...
Poor pain alleviation remains a problem following orthopedic surgery, leading to prolonged recovery ...
Advances in radiology are crucial not only to the future of the field but to medicine as a whole. He...
Diagnosing patients in the medical emergency department is complex and this is expected to increase ...
OBJECTIVES: To evaluate the FeelBetter machine learning system's ability to accurately identify olde...
BACKGROUND: In-hospital mortality following hip fractures is a significant concern, and accurate pre...
BACKGROUND: Atrial fibrillation (AF) is common among intensive care unit (ICU) patients and signific...
INTRODUCTION: Developing accurate models for predicting the risk of 30-day readmission is a major he...
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...
Heart failure (HF) is a significant global public health concern with a high readmission rate, posin...
Machine Learning models trained from real-world data have demonstrated promise in predicting suicide...
PURPOSE/OBJECTIVES: Admission into dental school involves selecting applicants for successful comple...