The authors have retracted this article [1] because they found a fundamental mistake in the methodology that is not correctable at this time. This mistake is found in the methodology and the derivation of the model with Tukey and Huber's losses. Because of the error, the findings in the article are not reliable. All authors agree to this retraction.
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http://dx.doi.org/10.1007/s10441-020-09377-w | DOI Listing |
JMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, Geneva University Hospitals, Geneva, Switzerland.
Objectives: Evaluating the impact of an AI-based automated cardiac MRI (CMR) planning software on procedure errors and scan times compared to manual planning alone.
Material And Methods: Consecutive patients undergoing non-stress CMR were prospectively enrolled at a single center (August 2023-February 2024) and randomized into manual, or automated scan execution using prototype software. Patients with pacemakers, targeted indications, or inability to consent were excluded.
Ther Adv Drug Saf
January 2025
Department of Epidemiology, Biostatistics and Health Data, Centre Antoine Lacassagne, Nice, France.
Background: Reporting serious adverse events (SAEs) is crucial to reduce or avoid toxicities that can lead to major consequences for patient's health due to treatments tested in clinical trials. Its exhaustiveness is often inadequate, and we observe discrepancies between data published by pharmacovigilance organizations and clinical databases.
Objectives: While the process of reconciliation aims at reducing these differences, it remains a very time-consuming and imprecise task.
JHEP Rep
February 2025
Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
Background & Aims: Biliary abnormalities in autoimmune hepatitis (AIH) and interface hepatitis in primary biliary cholangitis (PBC) occur frequently, and misinterpretation may lead to therapeutic mistakes with a negative impact on patients. This study investigates the use of a deep learning (DL)-based pipeline for the diagnosis of AIH and PBC to aid differential diagnosis.
Methods: We conducted a multicenter study across six European referral centers, and built a library of digitized liver biopsy slides dating from 1997 to 2023.
J Pers
January 2025
Self and Identity Development Laboratory, Department of Psychology, Babes-Bolyai University, Cluj-Napoca, Romania.
Introduction: Previous studies have revealed that perfectionism and identity development during adolescence are related. However, no longitudinal study has been conducted on the impact of perfectionism on identity development in adulthood. In the present study, we analyzed for the first time the longitudinal relationship between personal standards, an indicator of perfectionistic strivings, and concern over mistakes and doubts about actions, indicators of perfectionist concerns, and identity development in one of the most important yet least understood domains for adults, parental identity.
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