Latest AI and machine learning research in hospitalists for healthcare professionals.
BACKGROUND: This study develops machine learning (ML) algorithms that use preoperative-only features...
To compare surgical, oncologic, functional outcomes and complication rate between intracorporeal ne...
BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic ...
To demonstrate two distinct methods for adopting the single-port (SP) robotic surgery system for ro...
BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascu...
We evaluated the efficacy of rehabilitation therapy with Hybrid Assistive Limb® (HAL; hereafter HAL ...
BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the i...
To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparosc...
Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (...
BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are be...
The ideal radiology report reduces diagnostic uncertainty, while avoiding ambiguity whenever possibl...
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may ...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical il...
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to com...
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a p...
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, speci...
Accurate assessment of renal function is essential in hospitalized elderly patients. Few studies ha...
BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical chara...
The objective of this study was to design and develop a predictive model for 30-day risk of hospital...