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Robotic urologic surgery using the KangDuo-Surgical Robot-01 system: A single-center prospective analysis.

Chinese medical journal
BACKGROUND: The KangDuo-Surgical Robot-01 (KD-SR-01) system is a new surgical robot recently developed in China. The aim of this study was to present our single-center experience and mid-term outcomes of urological procedures using the KD-SR-01 syste...

Modeling the influence of attitudes, trust, and beliefs on endoscopists' acceptance of artificial intelligence applications in medical practice.

Frontiers in public health
INTRODUCTION: The potential for deployment of Artificial Intelligence (AI) technologies in various fields of medicine is vast, yet acceptance of AI amongst clinicians has been patchy. This research therefore examines the role of antecedents, namely t...

Feasibility and accuracy of a task-autonomous robot for zygomatic implant placement.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Zygomatic implants (ZIs) should be placed accurately as planned preoperatively to minimize complications and maximize the use of the remaining bone. Current digital techniques such as static guides and dynamic navigation are aff...

Multicenter Study of the Utility of Convolutional Neural Network and Transformer Models for the Detection and Segmentation of Meningiomas.

Journal of computer assisted tomography
PURPOSE: This study aimed to investigate the effectiveness and practicality of using models like convolutional neural network and transformer in detecting and precise segmenting meningioma from magnetic resonance images.

Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.

Psychological trauma : theory, research, practice and policy
OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneous presentations that include heightened dissociation, comorbid anxiety and depression, and emotion ...

Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

Psychopathology
BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual cod...

Machine learning and decision making in aortic arch repair.

The Journal of thoracic and cardiovascular surgery
BACKGROUND: Decision making during aortic arch surgery regarding cannulation strategy and nadir temperature are important in reducing risk, and there is a need to determine the best individualized strategy in a data-driven fashion. Using machine lear...

Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?

Journal of cancer policy
BACKGROUND: Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to ...

Toward a deep learning-based magnetic resonance imaging only workflow for postimplant dosimetry in I-125 seed brachytherapy for prostate cancer.

Brachytherapy
BACKGROUND AND PURPOSE: The current standard imaging-technique for creating postplans in seed prostate brachytherapy is computed tomography (CT), that is associated with additional radiation exposure and poor soft tissue contrast. To establish a magn...