AIMC Topic: Medical Errors
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The future is coming: promising perspectives regarding the use of machine learning in renal transplantation.
Jornal brasileiro de nefrologia
Oct 18, 2018
INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate predic...
Small lung nodules detection based on local variance analysis and probabilistic neural network.
Computer methods and programs in biomedicine
Apr 28, 2018
BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination...
Databases, Factual
Reproducibility of Results
Sensitivity and Specificity
Lung
X-Rays
Humans
Probability
Radiographic Image Enhancement
Neural Networks, Computer
Image Processing, Computer-Assisted
Pattern Recognition, Automated
Medical Errors
Algorithms
Lung Neoplasms
False Positive Reactions
Solitary Pulmonary Nodule
Radiographic Image Interpretation, Computer-Assisted
Carcinoma
Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience.
Gastroenterology
Apr 11, 2018
Artificial Intelligence in Medical Practice: The Question to the Answer?
The American journal of medicine
Nov 7, 2017
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice rem...
What are the six degree-of-freedom errors of a robotically-machined femoral cavity in total hip arthroplasty and are they clinically important? An in-vitro study.
Medical engineering & physics
Jul 26, 2017
Errors during a robot-assisted THA may result in a femoral cavity with position and orientation different than planned. This can lead to a femoral component placement that inaccurately sets a patient's femoral anteversion (FA), femoral offset (FO), a...
The Unintended Harm of Artificial Intelligence (AI): Exploring Critical Incidents of AI in Healthcare.
Studies in health technology and informatics
Aug 7, 2025
Artificial intelligence (AI) has been utilized in healthcare for years, presenting various risks. However, there is a gap in understanding AI incidents, particularly their impacts and associated risks. This study provides an overview of AI-related in...
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
BACKGROUND: Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic ...
Analysis of Critical Incident Reports Using Natural Language Processing.
Studies in health technology and informatics
Apr 26, 2024
UNLABELLED: A Critical Incident Reporting System (CIRS) collects anecdotal reports from employees, which serve as a vital source of information about incidents that could potentially harm patients.
A Machine Learning Approach to Reclassifying Miscellaneous Patient Safety Event Reports.
Journal of patient safety
Dec 1, 2021
BACKGROUND AND OBJECTIVES: Medical errors are a leading cause of death in the United States. Despite widespread adoption of patient safety reporting systems to address medical errors, making sense of the reports collected in these systems is challeng...
Artificial intelligence in liver disease.
Journal of gastroenterology and hepatology
Mar 1, 2021
Artificial intelligence (AI) is a branch of computer science that attempts to mimic human intelligence, such as learning and problem-solving skills. The use of AI in hepatology occurred later than in gastroenterology. Nevertheless, studies on applyin...
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