Latest AI and machine learning research in surgery for healthcare professionals.
Using deep learning models to analyze patients with intracranial tumors, to study the image segmentation and standard results by clinical depiction complications of cerebral edema after receiving radiotherapy. In this study, patients with intracranial tumors receiving computer knife (CyberKnife M6) stereotactic radiosurgery were followed using the treatment planning system (MultiPlan 5.1.3) to obt...
The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlled and protected healthcare environment, contributes to the more general and broad context of Robotic-Assisted Therapy (RAT). RAT represents an advanced and innovative rehabilitation method, both motor and cognitive, and uses active, passive, and facilitating robotic devices. RAT devices can be equip...
The lack of interest of children at school is one of the biggest problems that Mexican education faces. Two important factors causing this lack of int...
PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent future seizure occurrences. Conventional surgery ...
LITERATURE REVIEW: Cystoscopy is the gold standard for initial macroscopic assessments of the human urinary bladder to rule out (or diagnose) bladder ...
The process of collecting driving data and using a computational model to generate a safety score for the driver is known as driver behavior profiling...
BACKGROUND: Real-time prediction of surgical duration can inform perioperative decisions and reduce surgical costs. We developed a machine learning ap...
An autonomous robotic laparoscopic surgical technique is capable of tracking tissue motion and offers consistency in suturing for the anastomosis of t...
The industrial manufacturing sector is undergoing a tremendous revolution moving from traditional production processes to intelligent techniques. Unde...
Optimal management of duplication anomalies may include an upper or lower tract surgical approach. In the contemporary era, the robot-assisted laparos...
Background Accurate detection of pneumothorax on chest radiographs, the most common complication of percutaneous transthoracic needle biopsies (PTNBs)...
The pathological differential diagnosis between breast ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) is of pivotal importance fo...
Since the development of endoscopic vision in the late 1970s, the implementation of minimally invasive surgical methods has been rapidly progressing t...
Accurately predicting red blood cell (RBC) transfusion requirements in cardiothoracic (CT) surgery could improve blood inventory management and be use...
Van der Waals (vdW) solids can be engineered with atomically precise vertical composition through the assembly of layered two-dimensional materials. H...
BACKGROUND: Digital systems have increasingly become integrated into the modern operating room in the last few decades. This has brought about a massi...
Minimally invasive surgery continues to be an active area of experimental and clinical research in veterinary medicine. The advances we make in this f...
BACKGROUND: Mirror therapy (MT) has been used for functional recovery of the affected hand by providing the mirrored image of the unaffected hand move...
INTRODUCTION: Endometriosis is a chronic inflammatory disease that affects approximately 10%-15% of women of childbearing age. Laparoscopic surgery is...