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Automatic Quality Control System and Adenoma Detection Rates During Routine Colonoscopy: A Randomized Clinical Trial.
JAMA Netw Open
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Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Importance: High-quality colonoscopy reduces the risks of colorectal cancer by increasing the adenoma detection rate. Routine use of an automatic quality control system (AQCS) to assist in colorectal adenoma detection should be considered.
Objective: To evaluate the effect of an AQCS on the adenoma detection rate among colonoscopists who were moderate- and low-level detectors during routine colonoscopy.
Adjuvant Atezolizumab for Early Triple-Negative Breast Cancer: The ALEXANDRA/IMpassion030 Randomized Clinical Trial.
JAMA
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Institut Jules Bordet, l'Université Libre de Bruxelles and Hôpital Universitaire de Bruxelles, Brussels, Belgium.
Importance: Triple-negative breast cancer is an aggressive subtype with a high incidence in young patients, a high incidence in non-Hispanic Black women, and a high risk of progression to metastatic cancer, a devastating sequela with a 12- to 18-month life expectancy. Until recently, one strategy for treating early-stage triple-negative breast cancer was chemotherapy after surgery. However, it was not known whether the addition of immune therapy to postsurgery chemotherapy would be beneficial.
View Article and Find Full Text PDFMeasuring adaptive expertise and adaptive performance in (becoming) healthcare professionals: a scoping review of measurement instruments.
Adv Health Sci Educ Theory Pract
January 2025
University Medical Center Utrecht, Utrecht, The Netherlands.
Professional work in healthcare is increasingly disruptive, requiring professionals to be flexible and adaptable. Research on adaptive expertise and adaptive performance in healthcare has grown, and operationalisation and measurement of these concepts are crucial to meet professionals' evolving needs. This study provides an overview of measurement instruments for adaptive expertise and adaptive performance in (becoming) healthcare professionals, including an evaluation of their operationalisations and the amount of evidence supporting their quality.
View Article and Find Full Text PDFArtificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods.
Eur Spine J
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Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Purpose: Lumbar spinal stenosis (LSS) is a frequently occurring condition defined by narrowing of the spinal or nerve root canal due to degenerative changes. Physicians use MRI scans to determine the severity of stenosis, occasionally complementing it with X-ray or CT scans during the diagnostic work-up. However, manual grading of stenosis is time-consuming and induces inter-reader variability as a standardized grading system is lacking.
View Article and Find Full Text PDFCarbon Dioxide Sensing Based on Off-Axis Integrated Cavity Absorption Spectroscopy Combined with the Informer and Multilayer Perceptron Models.
Anal Chem
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Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China.
Off-axis integrated cavity output spectroscopy (OA-ICOS) allows the laser to be reflected multiple times inside the cavity, increasing the effective absorption path length and thus improving sensitivity. However, OA-ICOS systems are affected by various types of noise, and traditional filtering methods offer low processing efficiency and perform limited feature extraction. Deep learning models enable us to extract important features from large-scale, complex spectral data and analyze them efficiently and accurately.
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