AI Medical Compendium Topic

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Surgical Procedures, Operative

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Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

European journal of medical research
BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a vital research area, as accurate risk assessment can help surgeons make better clinical decisions during the perioperative period. This study aims to b...

Can surgeons trust AI? Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI).

Langenbeck's archives of surgery
PURPOSE: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Anaesthesia
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predi...

Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa.

International journal of environmental research and public health
Unplanned readmission within 30 days is a major challenge both globally and in South Africa. The aim of this study was to develop a machine learning model to predict unplanned surgical and trauma readmission to a public hospital in South Africa from ...

Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.

The British journal of surgery
BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patients is traditionally performed by clinicians using criteria-directed triage protocols. In the present study, it was hypothesized that an artificial inte...

Impact of AI on Access to Care a Three-Pronged Approach for Enhancing Access to Surgical Care: Lessons From Electrical Safety and the Impact of AI on Health Equity.

The American surgeon
As we enter the 21st century, a new wave of transformation is occurring in health care, mainly through artificial intelligence (AI). Like electricity, AI is a powerful tool that can either harm or heal, depending on how it is managed. In 2015, the Un...

Comprehensive overview of artificial intelligence in surgery: a systematic review and perspectives.

Pflugers Archiv : European journal of physiology
The rapid integration of artificial intelligence (AI) into surgical practice necessitates a comprehensive evaluation of its applications, challenges, and physiological impact. This systematic review synthesizes current AI applications in surgery, wit...

The ethical considerations of integrating artificial intelligence into surgery: a review.

Interdisciplinary cardiovascular and thoracic surgery
The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, including the impact on autonomy, human authority and the patient-doctor relationship. This study underscores the need for a multidisciplinary approach ...

Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study.

Journal of medical Internet research
BACKGROUND: Considering that most patients with low or no significant risk factors can safely undergo noncardiac surgery without additional cardiac evaluation, and given the excessive evaluations often performed in patients undergoing intermediate or...