AIMC Topic: Humans

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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...

Transition from da Vinci to Versius robotic surgical system: initial experience and outcomes of over 100 consecutive procedures.

Journal of robotic surgery
We sought to describe the development of the robotic urology program at Sindh Institute of Urology and Transplantation (SIUT) and the feasibility of transitioning from the da Vinci to Versius robotic systems. The SIUT robotics program began in 2017 u...

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...

Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.

Sensors (Basel, Switzerland)
The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights fo...

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...

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms.

Computational intelligence and neuroscience
Competent employees are a rare commodity for great companies. The problem of maintaining good employees with experience threatens the owners of companies. The issue of employee attrition can cost employers a lot as it takes a lot to compensate for th...

Cognitive Analysis of Pragmatic Functions of Discourse Markers in Spoken English in the Context of Computational Intelligence.

Journal of environmental and public health
To improve the level of oral English teaching, improve students' oral communicative competence (OCA), and promote successful communication with native English speakers, this study studies the pragmatic function of dialogue markers and constructs the ...

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.