Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BackgroundThe future of artificial intelligence in medicine includes the use of machine learning and...
BACKGROUND AND OBJECTIVES: Bone metastases, affecting more than 4.8% of patients with cancer annuall...
BACKGROUND: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe mucocutan...
Coronary CT angiography is widely implemented, with an estimated 2.2 million procedures in patients ...
BACKGROUND AND OBJECTIVES: The goal of this study was to develop a highly precise, dynamic machine l...
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...
PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic c...
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...
Persistent malnutrition is associated with poor clinical outcomes in cancer. However, assessing its ...
➢ Strategic action following the measurement of outcomes in the context of cost allows for the reall...
BACKGROUND: One of the main challenges with COVID-19 has been that although there are known factors ...
The development of efficient and accurate methods for detecting contamination in agri-foods is criti...
In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technol...
Emergency Rooms (ERs) are at the center of various optimization research due to the growing number o...
BACKGROUND: In order to address fall underestimation by the International Classification of Diseases...
Identification of neuron type is critical when using extracellular recordings in awake, behaving ani...
Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opport...
Simulation of emitter discharge under a drip fertigation system is important for capturing the varia...
INTRODUCTION: Few models have predicted readmission following open ventral hernia repair (VHR), and ...
PURPOSE: This study aims to develop and evaluate machine learning (ML) models to predict the likelih...
INTRODUCTION: Prolonged length of stay (PLOS) in hospitals is a critical metric representing quality...