Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...
BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcome...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of ce...
While chemicals are vital to modern society through materials, agriculture, textiles, new technology...
BACKGROUND: Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital sig...
To compare the efficacy and safety of robot-assisted laparoscopic radical prostatectomy (RARP) perf...
Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients...
Since minimally invasive liver surgery has proven benefits over open surgery, this technique should ...
Preoperative risk assessment is essential for shared decision-making and adequate perioperative care...
Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery,...
A hospital readmission risk prediction tool for patients with diabetes based on electronic health re...
Our objective was to detect common barriers to post-acute care (B2PAC) among hospitalized older adul...
BACKGROUND: The changing landscape of health care has led to the incorporation of powerful new techn...
INTRODUCTION: Following the 2005 decree on securing the medicine supply chain, the production of "ch...
BACKGROUND: The use of machine learning is becoming increasingly popular in many disciplines, but th...
: Inguinal hernia (IH) is a usual finding in men with prostate cancer (PCa) due to their similar ris...
BACKGROUND: Trauma is one of the most critical public health issues worldwide, leading to death and ...
GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving a...
We investigated the short- and long-term outcomes of patients 80Â years of age and older with colon c...
Transforming raw EHR data into machine learning model-ready inputs requires considerable effort. One...
Clark and Fischer's dismissal of extant human-robot interaction research approaches limits opportuni...