Latest AI and machine learning research in surgery for healthcare professionals.
The use of machine learning to predict postoperative pain and opioid use has likely been catalyzed b...
Due to the nonlinear characteristics of the valves and the interactions between the controlled varia...
In high-dimensional scenarios, trajectory planning is a challenging and computationally complex opti...
OBJECTIVE: To test if our artificial intelligence (AI)-postoperative glomerular filtration rate (GFR...
Control of movement is learned and uses error feedback during practice to predict actions for the ne...
BACKGROUND: Major adverse cardiovascular events (MACEs) within 30 days following noncardiac surgery ...
Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-...
BACKGROUND: The relative proportion of clinical compared with nonclinical influences on length of st...
Dengue fever poses a formidable epidemiological challenge, particularly for vulnerable groups such a...
The sophistication of cyberthreats demands more efficient and intelligent tools to support Security ...
BACKGROUND: Postoperative pulmonary complications (PPCs) following cardiac valvular surgery are char...
Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedu...
Brain-controlled robotic arm systems are designed to provide a method of communication and control f...
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical res...
Recent advances in visual reinforcement learning (visual RL), which learns from high-dimensional ima...
Early detection of breast cancer plays a crucial role in reducing the number of cases diagnosed at a...
BACKGROUND: Postoperative fever (POF) is a common occurrence in patients undergoing major surgery, p...
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We ...
In this paper, we address the question: what practices would be required for the responsible design ...
PURPOSE: Navigation and robotic systems aim to improve the accuracy and efficiency of percutaneous i...
AIM: Prospective outcome prediction plays a crucial role in guiding preoperative decision-making in ...