AIMC Topic: Diagnostic Errors
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Self-regulated learning and the future of diagnostic reasoning education.
Diagnosis (Berlin, Germany)
Dec 8, 2022
Diagnostic reasoning is a foundational ability of health professionals. The goal of enhancing clinical reasoning education is improved diagnostic accuracy and reduced diagnostic error. In order to do so, health professions educators need not only hel...
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs.
Journal of digital imaging
Jun 16, 2022
The rotation and tilt of the pelvis during anteroposterior pelvic radiography can lead to misdiagnosis of developmental dysplasia of the hip (DDH) in children. At present, no method exists for accurately and conveniently measuring the precise rotatio...
Incorporating uncertainty in learning to defer algorithms for safe computer-aided diagnosis.
Scientific reports
Feb 2, 2022
Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with uncertainty (LDU) algorithm which identifies patients for whom diagnostic...
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.
Radiology
Dec 21, 2021
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia...
Single Shot Multibox Detector Automatic Polyp Detection Network Based on Gastrointestinal Endoscopic Images.
Computational and mathematical methods in medicine
Nov 5, 2021
PURPOSE: In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single S...
A community effort to assess and improve computerized interpretation of 12-lead resting electrocardiogram.
Medical & biological engineering & computing
Oct 22, 2021
Computerized interpretation of electrocardiogram plays an important role in daily cardiovascular healthcare. However, inaccurate interpretations lead to misdiagnoses and delay proper treatments. In this work, we built a high-quality Chinese 12-lead r...
Artificial intelligence and cancer diagnosis: caution needed.
The Lancet. Oncology
Sep 9, 2021
Diagnostic Errors, Health Disparities, and Artificial Intelligence: A Combination for Health or Harm?
JAMA health forum
Sep 3, 2021
Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images.
Scientific reports
Aug 9, 2021
Cervical cancer is the second most common cancer in women worldwide with a mortality rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making early detection through regular checkups vitally immportant. In this stu...
Recognition of Thyroid Ultrasound Standard Plane Images Based on Residual Network.
Computational intelligence and neuroscience
Jun 2, 2021
Ultrasound is one of the critical methods for diagnosis and treatment in thyroid examination. In clinical application, many reasons, such as large outpatient traffic, time-consuming training of sonographers, and uneven professional level of physician...
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