AIMC Topic: Humans

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Does a deep learning inventory predict knowledge transfer? Linking student perceptions to transfer outcomes.

Advances in health sciences education : theory and practice
Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to ...

Computational Scientific Discovery in Psychology.

Perspectives on psychological science : a journal of the Association for Psychological Science
Scientific discovery is a driving force for progress involving creative problem-solving processes to further our understanding of the world. The process of scientific discovery has historically been intensive and time-consuming; however, advances in ...

Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.

Radiology
Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, evaluation is time-consuming and requires profound expertise because noninflammatory degenerative changes can mimic axSpA, and early signs may therefor...

Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT.

Radiology
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Case reports have suggested an association between T-DM1 and portal hypertension. Purpo...

Predicting the Likelihood of Colorectal Cancer with Artificial Intelligence Tools Using Fourier Transform Infrared Signals Obtained from Tumor Samples.

Applied spectroscopy
The early and accurate detection of colorectal cancer (CRC) significantly affects its prognosis and clinical management. However, current standard diagnostic procedures for CRC often lack sensitivity and specificity since most rely on visual examinat...

Analyses of operative time according to procedure phases during robot-assisted laparoscopic partial nephrectomy using the iPhone application "My Intuitives".

International journal of urology : official journal of the Japanese Urological Association
PURPOSE: We investigated operative time according to procedure phases in robot-assisted laparoscopic partial nephrectomy (RAPN) and identify variables associated with longer operative time in each procedure phase.

A Machine Learning-Based Intrauterine Growth Restriction (IUGR) Prediction Model for Newborns.

Indian journal of pediatrics
Intrauterine growth restriction (IUGR) is a condition in which the fetal weight is below the 10th percentile for its gestational age. Prenatal exposure to metals can cause a decrease in fetal growth during gestation thereby reducing birth weight. The...

Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.

Artificial intelligence in medicine
OBJECTIVE: The accurate classification of mass lesions in the adrenal glands ('adrenal masses'), detected with computed tomography (CT), is important for diagnosis and patient management. Adrenal masses can be benign or malignant and benign masses ha...

[Modern OR management in tertiary care hospitals].

Unfallchirurgie (Heidelberg, Germany)
Institutional operating room (OR) management is an established and indispensable component of organizational structures in most hospitals, independent of the level of care. In this role, OR management needs to consider both the high fixed costs of op...