AIMC Topic: Hospitals, Teaching

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Development of HepatIA: A computed tomography annotation platform and database for artificial intelligence training in hepatocellular carcinoma detection at a Brazilian tertiary teaching hospital.

Clinics (Sao Paulo, Brazil) Oct 9, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) is a prevalent tumor with high mortality rates. Computed tomography (CT) is crucial in the non-invasive diagnosis of HCC. Recent advancements in artificial intelligence (AI) have shown significant potential ...
Algorithms Databases, Factual Tomography, X-Ray Computed Humans Artificial Intelligence Male Middle Aged Brazil Female Aged Adult Tertiary Care Centers Liver Neoplasms Hospitals, Teaching Carcinoma, Hepatocellular
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Development and Validation of an Interpretable Conformal Predictor to Predict Sepsis Mortality Risk: Retrospective Cohort Study.

Journal of medical Internet research Mar 18, 2024
BACKGROUND: Early and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretabilit...
Multicenter Studies as Topic Hospitals, Teaching Artificial Intelligence Clinical Decision-Making Humans Retrospective Studies Adult Sepsis
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Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.

BMC medical informatics and decision making Mar 11, 2024
BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making...
Humans Machine Learning Algorithms Postoperative Complications Renal Insufficiency Hospitals, Teaching Prospective Studies Retrospective Studies Adult
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The Role of Artificial Intelligence in Surgery: What do General Surgery Residents Think?

The American surgeon Oct 20, 2023
BACKGROUND: Artificial intelligence (AI) holds significant potential in medical education and patient care, but its rapid emergence presents ethical and practical challenges. This study explored the perspectives of surgical residents on AI's role in ...
Artificial Intelligence Cross-Sectional Studies Decision Making Humans Education, Medical Hospitals, Teaching
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Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.

Critical care (London, England) Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Cohort Studies Risk Management Humans Intensive Care Units Heart Arrest Prospective Studies Adult Hospitals, Teaching Retrospective Studies Deep Learning Patients' Rooms
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Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.

PloS one Aug 17, 2023
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promot...
Hospitals, Teaching Humans Deep Learning Lung Neoplasms Algorithms Hemorrhagic Fever, Ebola Tomography, X-Ray Computed
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The safe introduction of robotic surgery in a free-standing children's hospital.

Journal of robotic surgery Jul 8, 2023
The aim of this study is to report the experience of implementing a pediatric robotic surgery program at a free-standing pediatric teaching hospital. A database was created to prospectively collect perioperative data for all robotic surgeries perform...
Humans Retrospective Studies Adolescent Child Robotic Surgical Procedures Robotics Hospitals, Teaching Laparoscopy
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Establishing an open and robotic pancreatic surgery program in a level 1 trauma center community teaching hospital and comparing its outcomes to high-volume academic center outcomes: a retrospective review.

BMC surgery Dec 6, 2022
BACKGROUND: The debate of whether to centralize hepato-pancreato-biliary surgery has been ongoing. The principal objective was to compare outcomes of a community pancreatic surgical program with those of high-volume academic centers.
Trauma Centers Humans Hospitals, Teaching Robotics
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The evolving use of robotic surgery: a population-based analysis.

Surgical endoscopy Oct 17, 2022
INTRODUCTION: Robotic surgery has integrated into the healthcare system despite limited evidence demonstrating its clinical benefit. Our objectives were (i) to describe secular trends and (ii) patient- and system-level determinants of the receipt of ...
Robotics Humans Laparoscopy Hospitals, Teaching Retrospective Studies Robotic Surgical Procedures Male Female Ontario Adult
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Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital.

BMC medical informatics and decision making Jan 7, 2022
BACKGROUND: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most ...
Hospitals, Public Surveys and Questionnaires Fuzzy Logic Hospitals, Teaching Humans Brazil
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