Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Technological advancements in computer science have started to bring artificial intelligence (AI) from the bench closer to the bedside. While there is still lots to do and improve, AI models in medical imaging and radiotherapy are rapidly being developed and increasingly deployed in clinical practice. At the same time, AI governance frameworks are still under development. Clinical practitioners in...
BACKGROUND: This study aimed to examine the accuracy with which multiple natural language processing artificial intelligence models could predict discharge and readmissions after general surgery.
OBJECTIVE: Artificial intelligence (AI) has gradually found its way into healthcare, and its future integration into clinical practice is inevitable. ...
Radical cystectomy is a gold-standard treatment for muscle-invasive bladder cancer. We recently introduced robot-assisted radical cystectomy (RARC) wi...
Diverticulitis is a prevalent gastrointestinal disease that often warrants surgical intervention. However, the optimal approach between traditional la...
To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models for colorectal cancer (CRC). A total of 107 patie...
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made base...
The study aims to synthesize all available prospective comparative studies and reports the latest systematic analysis and updated evidence comparing r...
Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver; however, many obstacles still have to be overcom...
BACKGROUND: Postoperative ileus remains the most common cause of prolonged hospital stay after abdominal surgery. Various agents have been tested in t...
Blasting constitutes an essential component of the mining and construction industries. However, the associated nuisances, particularly blast vibration...
BACKGROUND: Liver dysfunction was common in coronavirus disease 2019 (COVID-19), but its association with clinical features and poor prognosis has not...
Signal analysis plays a preeminent role in neuroethological research. Traditionally, signal identification has been based on pre-defined signal (sub-)...
PURPOSE: Due to significant growth in the volume of information produced by cancer research, staying abreast of recent developments has become a chall...
Despite challenges in severity scoring systems, artificial intelligence-enhanced electrocardiography (AI-ECG) could assist in early coronavirus diseas...
BACKGROUND CONTEXT: Navigation and robotic technologies have emerged as an alternative option to conventional freehand techniques for pedicle screw in...
The triage process in emergency departments (EDs) relies on the subjective assessment of medical practitioners, making it unreliable in certain aspect...
Forensic psychiatric populations commonly contain a subset of persons with schizophrenia spectrum disorders (SSD) who have committed sex offenses. A c...
Pathogenic organisms utilize iron to survive and replicate and have evolved many processes to extract iron from human hosts. The goal of this study w...