AIMC Topic: Diagnostic Errors
Clear Filters Showing 61 to 70 of 99 articles
Artificial intelligence: a challenge for third millennium radiologist.
La Radiologia medica
Feb 1, 2019
Safety of patient-facing digital symptom checkers.
Lancet (London, England)
Nov 6, 2018
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning.
Medical image analysis
Oct 28, 2018
Computer aided diagnosis (CAD) tools help radiologists to reduce diagnostic errors such as missing tumors and misdiagnosis. Vision researchers have been analyzing behaviors of radiologists during screening to understand how and why they miss tumors o...
Deep neural network improves fracture detection by clinicians.
Proceedings of the National Academy of Sciences of the United States of America
Oct 22, 2018
Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Missing a fracture in a radiograph often ha...
Application of electronic trigger tools to identify targets for improving diagnostic safety.
BMJ quality & safety
Oct 5, 2018
Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify errors, high-risk situations, and adverse events. Electronic trigger (e-trigger) tools, which mine vast amounts of patient data to identify signals i...
Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.
Asian Pacific journal of cancer prevention : APJCP
Sep 26, 2018
Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human. Early detection of breast cancer is accomplished by X-ray mammography. Mammography is the most effective and efficient technique used for detection ...
Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.
Photodiagnosis and photodynamic therapy
May 19, 2018
This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Raman spectroscopy combined with pattern recognition technique. In total, 119 confirmed samples of HBV infected sera, collected from Pakistan Atomic Ener...
Artificial Intelligence and the Practice of Radiology: An Alternative View.
Journal of the American College of Radiology : JACR
May 11, 2018
Fully automatic cervical vertebrae segmentation framework for X-ray images.
Computer methods and programs in biomedicine
Jan 12, 2018
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately, a large number of injuries in lateral cervical X-ray images remain undiagnosed due to human errors. Computer-aided injury detection has the potential...
Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer.
Endoscopy
Dec 22, 2017
BACKGROUND AND STUDY AIMS: Decisions concerning additional surgery after endoscopic resection of T1 colorectal cancer (CRC) are difficult because preoperative prediction of lymph node metastasis (LNM) is problematic. We investigated whether artificia...
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