AIMC Topic: Retrospective Studies

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Risk Factors for Postoperative Hypothermia in Patients Undergoing Robot-Assisted Gynecological Surgery: A Retrospective Cohort Study.

International journal of medical sciences
Since postoperative hypothermia increases the morbidity and mortality rates of surgery, identifying its risk factors is an important part of perioperative management. Considering the increasing demand for robot-assisted surgery and other characterist...

Robotic right colectomy with robotic-sewn anastomosis: a pilot case series.

Journal of robotic surgery
The background of this study is to assess the feasibility, clinical utility and safety of intra-corporeal robotic-sewn anastomosis (ICrA) in completely robotic right hemicolectomy (CRH) for adenocarcinoma. A protocol for completely robotic right hemi...

Ten-year experience of robotic latissimus muscle flap reconstructive surgery at a single institution.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
BACKGROUND: Robotic reconstructive surgery has been performed since 2012 at our institution. The purpose of this study was to report our 10-year experience with robot-assisted reconstructive surgery and compare the clinical outcomes of different robo...

A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level.

Journal of dentistry
OBJECTIVES: Bone level as measured by clinical attachment levels (CAL) are critical findings that determine the diagnosis of periodontal disease. Deep learning algorithms are being used to determine CAL which aid in the diagnosis of periodontal disea...

Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

BMC medical informatics and decision making
BACKGROUND: A disease severity classification system is widely used to predict the survival of patients admitted to the intensive care unit with different diagnoses. In the present study, conventional severity classification systems were compared wit...

Applying Automated Machine Learning to Predict Mode of Delivery Using Ongoing Intrapartum Data in Laboring Patients.

American journal of perinatology
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively obtained during labor from the electronic health record.

Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.

European radiology
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity on plain radiographs.

Robot-assisted nephroureterectomy for upper tract urothelial carcinoma-feasibility and complications: a single center experience.

Scandinavian journal of urology
BACKGROUND: Robot-assisted nephroureterectomy (RANU) is the primary treatment for upper tract urothelial carcinoma (UTUC) at our hospital for patients with clinical stage less than T2, and for patients with invasive tumours, but unfit for major surge...

The application of internal traction technique in retroperitoneal robot-assisted partial nephrectomy for renal ventral tumors.

World journal of surgical oncology
BACKGROUND: For patients with prior intra-abdominal surgery or multiple arteries, the retroperitoneal robot-assisted partial nephrectomy (rRAPN) is a better choice. The renal ventral tumor poses an additional challenge due to poor tumor exposure. Thi...