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Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

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On learning disentangled representations for individual treatment effect estimation.

OBJECTIVE: Estimating the individualized treatment effect (ITE) from observational data is a challen...

CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions.

The design of neural network architectures is carried out using methods that optimize a particular o...

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.

OBJECTIVE: To assess the methodological quality of studies on prediction models developed using mach...

Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...

Use of artificial intelligence for gender bias analysis in letters of recommendation for general surgery residency candidates.

BACKGROUND: Letters of recommendation (LoRs) play an important role in resident selection. Author la...

A comparative study of forest methods for time-to-event data: variable selection and predictive performance.

BACKGROUND: As a hot method in machine learning field, the forests approach is an attractive alterna...

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers.

PROBLEM: An application of Explainable Artificial Intelligence Methods for COVID CT-Scan classifiers...

CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

More humans have died of tuberculosis (TB) than any other infectious disease and millions still die ...

Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis.

Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary embolism (PE) d...

Explaining distortions in metacognition with an attractor network model of decision uncertainty.

Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions i...

The impact of site-specific digital histology signatures on deep learning model accuracy and bias.

The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep lear...

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms.

Unlike parametric regression, machine learning (ML) methods do not generally require precise knowled...

Efficient Source Camera Identification with Diversity-Enhanced Patch Selection and Deep Residual Prediction.

Source camera identification has long been a hot topic in the field of image forensics. Besides conv...

Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain.

This study set out to investigate various deep learning frameworks for PET attenuation correction in...

Health Condition Estimation of Bearings with Multiple Faults by a Composite Learning-Based Approach.

Bearings are critical components found in most rotating machinery; their health condition is of imme...

Embryo selection with artificial intelligence: how to evaluate and compare methods?

Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of ferti...

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