AIMC Topic: Surgical Procedures, Operative
Clear Filters Showing 31 to 40 of 105 articles
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.
IEEE transactions on medical imaging
Jun 30, 2023
Recent advancements in deep learning methods bring computer-assistance a step closer to fulfilling promises of safer surgical procedures. However, the generalizability of such methods is often dependent on training on diverse datasets from multiple m...
Emergency surgery in the era of artificial intelligence: ChatGPT could be the doctor's right-hand man.
International journal of surgery (London, England)
Jun 1, 2023
Comment on 'study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational study'.
International journal of surgery (London, England)
Apr 1, 2023
Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
Sep 23, 2022
BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in Japan and is expected to improve the quality of medical care. However, surgeons must register ten detailed features for total hip arthroplasty, which ...
A Machine Learning Approach in Predicting Mortality Following Emergency General Surgery.
The American surgeon
Aug 11, 2021
BACKGROUND: There is a significant mortality burden associated with emergency general surgery (EGS) procedures. The objective of this study was to develop and validate the use of a machine learning approach to predict mortality following EGS.
Editorial: Artificial Intelligence (AI) in Clinical Medicine and the 2020 CONSORT-AI Study Guidelines.
Medical science monitor : international medical journal of experimental and clinical research
Jun 28, 2021
Artificial intelligence (AI) in clinical medicine includes physical robotics and devices and virtual AI and machine learning. Concerns have been raised regarding ethical issues for the use of AI in surgery, including guidance for surgical decisions, ...
Machine Learning and Surgical Outcomes Prediction: A Systematic Review.
The Journal of surgical research
Apr 10, 2021
BACKGROUND: Machine learning (ML) has garnered increasing attention as a means to quantitatively analyze the growing and complex medical data to improve individualized patient care. We herein aim to critically examine the current state of ML in predi...
Reinforcement learning in surgery.
Surgery
Jan 9, 2021
Patients and physicians make essential decisions regarding diagnostic and therapeutic interventions. These actions should be performed or deferred under time constraints and uncertainty regarding patients' diagnoses and predicted response to treatmen...
Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource.
Surgery
Jan 5, 2021
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and the literature, we share several lessons for devel...
The present and future state of machine learning for predictive analytics in surgery.
American journal of surgery
Nov 14, 2020
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