Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Bowel endometriosis impacts quality of life. Treatment requires complex surgical procedu...
BACKGROUND AND OBJECTIVE: Machine learning (ML) is a subset of artificial intelligence that uses dat...
In 2020, Novartis Pharmaceuticals Corporation and the U.S. Food and Drug Administration (FDA) starte...
Artificial Neural Networks (ANNs) are transforming how we understand chemical mixtures, providing an...
In partnership with the Air Force Office of Scientific Research (AFOSR), the National Science Founda...
To evaluate the usefulness of robot-assisted total laparoscopic hysterectomy with four equally-space...
Identifying patients who may develop severe COVID-19 has been of interest to clinical physicians sin...
The rapid progress of AI impacts diverse scientific disciplines, including toxicology, and has the p...
The human gastrointestinal (gut) microbiome plays a critical role in maintaining host health and has...
AIM: Robotic surgery is increasingly being used for rectal resection, with short-term benefits such ...
Subcutaneous emphysema (SE) is a complication of laparoscopic surgery, potentially resulting in seve...
ICU readmissions are associated with poor outcomes for patients and poor performance of hospitals. P...
Robot-assisted (RA) technology has been widely used in spine surgery. This analysis aimed to compare...
Laparoscopic approach is the gold standard for repairing hiatal hernia (HH). Robotic technology is n...
The objective of this study is to compare the satisfaction of patients undergoing robot-assisted ret...
Oncology is becoming increasingly personalised through advancements in precision in diagnostics and ...
Technological advancements of prostheses in recent years, such as haptic feedback, active power, and...
In the era of robotic prostate surgery, various techniques have been developed to improve functional...
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyr...
To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection ...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk...