Cultural Competence

Revealing the real-time diversity and abundance of small mammals by using an Intelligent Animal Monitoring System (IAMS).

It is challenging to reveal the real-time spatio-temporal change of diversity and abundance of anima...

Memory augmented recurrent neural networks for de-novo drug design.

A recurrent neural network (RNN) is a machine learning model that learns the relationship between el...

Study on the Application of Visual Communication Design in APP Interface Design in the Context of Deep Learning.

Visual communication concepts enable linguistics or semiotics to the teaching of visual communicatio...

Oblique and rotation double random forest.

Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As...

Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation.

Creating a wide range of new compounds that not only have ideal pharmacological properties but also ...

Confounding factors need to be accounted for in assessing bias by machine learning algorithms.

Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms.

Reply to: 'Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms' and 'Confounding factors need to be accounted for in assessing bias by machine learning algorithms'.

Generic Mechanism for Waveform Regulation and Synchronization of Oscillators: An Application for Robot Behavior Diversity Generation.

While nonlinear oscillators have been widely used for central pattern generators to produce basic rh...

Designing Equitable Health Care Outreach Programs From Machine Learning Patient Risk Scores.

There is growing interest in ensuring equity and guarding against bias in the use of risk scores pro...

Artificial Intelligence Algorithm in Classification and Recognition of Primary Hepatic Carcinoma Images under Magnetic Resonance Imaging.

This study aimed to discuss the application value of the bias field correction algorithm in magnetic...

Self-Supervised Video Representation Learning by Uncovering Spatio-Temporal Statistics.

This paper proposes a novel pretext task to address the self-supervised video representation learnin...

Accuracy and Efficiency of Machine Learning-Assisted Risk-of-Bias Assessments in "Real-World" Systematic Reviews : A Noninferiority Randomized Controlled Trial.

BACKGROUND: Automation is a proposed solution for the increasing difficulty of maintaining up-to-dat...

Diversity in Machine Learning: A Systematic Review of Text-Based Diagnostic Applications.

OBJECTIVE: As the storage of clinical data has transitioned into electronic formats, medical informa...

Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy.

The combination of image analysis and superresolution microscopy methods allows for unprecedented in...

Validation of a Predictive Model for New Baseline Renal Function After Radical Nephrectomy or Robot-Assisted Partial Nephrectomy in Japanese Patients.

The study's aim was to externally validate a new predictive model for the new baseline glomerular f...

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (feat...

Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias.

BACKGROUND: Artificial intelligence (AI) has the potential to personalize treatment strategies for p...

Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.

Rapid advances in automated methods for extracting large numbers of quantitative features from medic...

Chemical property prediction under experimental biases.

Predicting the chemical properties of compounds is crucial in discovering novel materials and drugs ...

Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.

A bias in health research to favor understanding diseases as they present in men can have a grave im...