Cultural Competence

: A Python Package for Measuring The Composition of Complex Datasets.

Machine-learning datasets are typically characterized by measuring their size and class balance. How...

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning.

We propose DiRL, a Diversity-inducing Representation Learning technique for histopathology imaging. ...

Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

INTRODUCTION: Stigma and bias related to race and other minoritized statuses may underlie disparitie...

Mapping Cell Atlases at the Single-Cell Level.

Recent advancements in single-cell technologies have led to rapid developments in the construction o...

Multitype Perception Method for Drug-Target Interaction Prediction.

With the growing popularity of artificial intelligence in drug discovery, many deep-learning technol...

Synthetic Knee MRI T Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers.

A 2D U-Net was trained to generate synthetic T maps from T maps for knee MRI to explore the feasibil...

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is cha...

Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial.

Cross-validation remains a popular means of developing and validating artificial intelligence for he...

Characterizing adjuvants' effects at murine immunoglobulin repertoire level.

Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has ...

Assessment of the bias of artificial intelligence generated images and large language models on their depiction of a surgeon.

Accommodating misclassification effects on optimizing dynamic treatment regimes with Q-learning.

Research on dynamic treatment regimes has enticed extensive interest. Many methods have been propose...

Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science.

Artificial intelligence (AI) is increasingly being used in decision making across various industries...

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artif...

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) technology design and development...

Skin Inclusion: Addressing Deficits in Medical Education to Promote Diversity in Dermatological Diagnosis and Treatment.

Dermatological conditions impact many people globally, including those with melanin-rich skin. Howev...

Pharmacokinetic Profiling of Ginsenosides, Rb1, Rd, and Rg3, in Mice with Antibiotic-Induced Gut Microbiota Alterations: Implications for Variability in the Therapeutic Efficacy of Red Ginseng Extracts.

Ginsenoside Rg3 is reported to contribute to the traditionally known diverse effects of red ginseng ...

Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care.

IMPORTANCE: Limited sharing of data sets that accurately represent disease and patient diversity lim...

Energy controls wave propagation in a neural network with spatial stimuli.

Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons pres...

Inferring population dynamics in macaque cortex.

The proliferation of multi-unit cortical recordings over the last two decades, especially in macaque...

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features.

From the perspective of input features, information can be divided into independent information and ...

Development and validation of a fully automated 2-dimensional imaging system generating body condition scores for dairy cows using machine learning.

Monitoring body condition score (BCS) is a useful management tool to estimate the energy reserves of...