AIMC Topic: Surgeons

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Data-Driven Analysis of Short- and Long-Term Outcomes of Simulation, Nasal Hump Reduction, and Rasping in Open Rhinoplasty for Nasal Dorsum Correction.

Ear, nose, & throat journal Aug 1, 2025
PURPOSE: This study aims to highlight the significance of performing simulations, nasal hump reduction, and rasping in open-technique rhinoplasty for the nasal dorsum. The research utilizes data science methodologies for a thorough examination of the...
Treatment Outcome Rhinoplasty Nose Practice Patterns, Physicians' Male Humans Surgeons Female Surveys and Questionnaires
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Cutting Skill Assessment by Motion Analysis Using Deep Learning and Spatial Marker Tracking.

IEEE transactions on bio-medical engineering Jun 1, 2025
The assessment of surgical skill is crucial for indicating a surgeon's proficiency. While motion analysis of surgical tools is widely used in endoscopic surgery, it is not commonly applied to open surgery. Instead, open surgery skill assessment relie...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Deep Learning Surgeons Surgical Instruments Clinical Competence
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Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

BJS open Dec 30, 2024
BACKGROUND: Robotic data streams allow for capture of objective performance indicators, providing the ability to quantify and analyse operator technique and movement in optimizing postoperative outcomes. This study provided proof-of-concept demonstra...
Herniorrhaphy Hernia, Ventral Clinical Competence Adult Robotic Surgical Procedures Male Middle Aged Retrospective Studies Postoperative Complications Female Surgeons Aged Humans Machine Learning
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Artificial Intelligence-Generated Social Media Content Creation and Management Strategies for Plastic Surgeons.

Aesthetic surgery journal Jun 14, 2024
BACKGROUND: Social media platforms have come to represent integral components of the professional marketing and advertising strategy for plastic surgeons. Effective and consistent content development, however, remains technically demanding and time c...
Humans Social Media Surgery, Plastic Marketing of Health Services Artificial Intelligence Surgeons
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Feasibility and safety of robotic liver resection for huge (≥10 cm) hepatocellular carcinoma in a single centre: A propensity score-matched single-surgeon study.

The international journal of medical robotics + computer assisted surgery : MRCAS Apr 1, 2024
BACKGROUND: The applicability of robot-assisted resection for huge hepatocellular carcinoma (HCC) of ≥10 cm remains contentious with limited available data.
Hepatectomy Propensity Score Laparoscopy Robotic Surgical Procedures Feasibility Studies Carcinoma, Hepatocellular Robotics Retrospective Studies Surgeons Humans Length of Stay Postoperative Complications Liver Neoplasms
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How Surgeons Think to Avoid Error: A Case Study of the Neurovascular Bundle Sparing During a Robotic Prostatectomy.

Journal of surgical education Apr 1, 2024
OBJECTIVE: To illustrate how experts efficiently navigate a "slowing down moment" to obtain optimal surgical outcomes using the neurovascular bundle sparing during a robotic prostatectomy as a case study.
Robotic Surgical Procedures Prostatectomy Canada Robotics Male Surgeons Humans
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Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT.

Aesthetic surgery journal Feb 15, 2024
BACKGROUND: The rapidly evolving field of artificial intelligence (AI) holds great potential for plastic surgeons. ChatGPT, a recently released AI large language model (LLM), promises applications across many disciplines, including healthcare.
Surgeons Humans Plastic Surgery Procedures Artificial Intelligence Surgery, Plastic
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Unveiling new patterns: A surgical deep learning model for intestinal obstruction management.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2024
BACKGROUND: Swift and accurate decision-making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision-making in intestinal obstruction cases.
Intestinal Obstruction Surgeons Models, Anatomic Deep Learning Benchmarking Humans
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Workspace and dexterity analysis of the hybrid mechanism master robot in Sina robotic telesurgery system: An in vivo experiment.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2024
Sina robotic telesurgery system has been introduced recently to provide ergonomic postures for the surgeon along with dexterous workspace for robotic telesurgery. The robot is described, and the forward and inverse kinematics are derived and validate...
Robotics Robotic Surgical Procedures Surgery, Computer-Assisted Dogs Hand Humans Animals Surgeons
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Efficacy and safety of artificial intelligence-based large language models for decision making support in herniology: evaluation by experts and general surgeons.

Khirurgiia Jan 1, 2024
OBJECTIVE: To evaluate the quality of recommendations provided by ChatGPT regarding inguinal hernia repair.
Surgeons Decision Support Systems, Clinical Humans Herniorrhaphy Artificial Intelligence Hernia, Inguinal Clinical Decision-Making
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