AIMC Topic: Surgical Procedures, Operative

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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
Humans Machine Learning Forecasting Observational Studies as Topic Surgical Procedures, Operative Mortality Prospective Studies Aged Emergencies
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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 ...
Medical Records Orthopedics Artificial Intelligence Machine Learning Algorithms Registries Japan Surgical Procedures, Operative Humans
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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.
Humans Machine Learning Databases, Factual Middle Aged Emergencies Adolescent Female Adult Male General Surgery Surgical Procedures, Operative United States Predictive Value of Tests
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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, ...
Clinical Medicine Ethics, Clinical Humans Artificial Intelligence Research Design Surgical Procedures, Operative Practice Guidelines as Topic
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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...
Patient Selection Humans Surgical Procedures, Operative Machine Learning Patient Care Planning Clinical Decision-Making Postoperative Complications Risk Assessment Treatment Outcome
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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...
Delivery of Health Care Clinical Decision-Making Surgical Procedures, Operative Machine Learning Algorithms Humans Decision Support Techniques
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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...
Humans Machine Learning Algorithms Surgical Procedures, Operative Clinical Decision-Making Decision Support Techniques Clinical Decision Rules Developing Countries Delivery of Health Care Data Collection
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The present and future state of machine learning for predictive analytics in surgery.

American journal of surgery Nov 14, 2020
Risk Assessment Surgical Procedures, Operative Humans Machine Learning Forecasting
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Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.

Journal of evidence-based medicine Nov 13, 2020
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
Transfusion Reaction Humans Artificial Intelligence Machine Learning Decision Trees Surgical Procedures, Operative Clinical Trials as Topic Electronic Health Records Risk Factors Respiratory Distress Syndrome
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Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 25, 2020
OBJECTIVE: Safe surgery requires the accurate discrimination of tissue intraoperatively. We assess the feasibility of using multispectral imaging and deep learning to enhance surgical vision by automated identification of normal human head and neck t...
Cadaver Surgical Procedures, Operative Humans Machine Learning Neural Networks, Computer Multimodal Imaging Equipment Design
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