Surgery

Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.

AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), ...

Impact of visceral fat area on short-term outcomes in robotic surgery for mid and low rectal cancer.

Rectal cancer is one of the most prevalent cancers that arise in the digestive tract. The purpose of...

Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases.

BACKGROUND: Robotic assistance in thyroidectomy is a developing field that promises enhanced surgica...

Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study.

Automated skills assessment can provide surgical trainees with objective, personalized feedback dur...

Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic st...

Surgical phase and instrument recognition: how to identify appropriate dataset splits.

PURPOSE: Machine learning approaches can only be reliably evaluated if training, validation, and tes...

Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (...

Outcomes of robot-assisted laparoscopic extended pelvic lymph node dissection for prostate Cancer.

INTRODUCTION: Extended pelvic lymph node dissection (ePLND) in men undergoing robot-assisted laparos...

Robotic transanal minimally invasive surgery for the regrowth of rectal cancer following a watch-and-wait approach - a video vignette.

Validate robot-assisted total laparoscopic hysterectomy with four equally-spaced ports without an assistant port.

To evaluate the usefulness of robot-assisted total laparoscopic hysterectomy with four equally-space...

The influence of the da Vinci surgical robot on electromagnetic tracking in a clinical environment.

Robot-assisted surgery is increasingly used in surgery for cancer. Reduced overview and loss of anat...

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...

Transferability of the robot assisted and laparoscopic suturing learning curves.

Robot assisted surgery (RAS) is increasingly used, and besides conventional minimally invasive surge...

Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal Diseases.

OBJECTIVE: To review recent technological advancement in imaging, surgical visualization, robotics t...

Robot-Assisted and Haptic-Guided Endodontic Surgery: A Case Report.

There has been a significant increase in robot-assisted dental procedures in the past decade, partic...

Extended-wavelength diffuse reflectance spectroscopy dataset of animal tissues for bone-related biomedical applications.

Diffuse reflectance spectroscopy (DRS) has been extensively studied in both preclinical and clinical...

Robotic beyond total mesorectal excision (TME) for locally advanced or recurrent rectal cancer: a systematic review protocol.

INTRODUCTION: The surgical treatment for locally advanced or recurrent rectal cancer requires oncolo...

Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patients.

Local recurrences in patients with grade 4 adult-type diffuse gliomas mostly occur within residual n...

Robots for surgeons? Surgeons for robots? Exploring the acceptance of robotic surgery in the light of attitudes and trust in robots.

BACKGROUND: Over the last century, technological progress has been tremendous, and technological adv...

Construction and validation of a progression prediction model for locally advanced rectal cancer patients received neoadjuvant chemoradiotherapy followed by total mesorectal excision based on machine learning.

BACKGROUND: We attempted to develop a progression prediction model for local advanced rectal cancer(...

Large language model, AI and scientific research: why ChatGPT is only the beginning.

ChatGPT, a conversational artificial intelligence model based on the generative pre-trained transfor...