Cultural Competence

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.

Advances in computer science and data-analytic methods are driving a new era in mental health research and application. Artificial intelligence (AI) technologies hold the potential to enhance the assessment, diagnosis, and treatment of people experiencing mental health problems and to increase the reach and impact of mental health care. However, AI applications will not mitigate mental health disp...

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record the micromovements induced by cardiovascular activity at the body's center of mass and on the chest, respectively. Since their inception, their potential for evaluating cardiovascular health has been studied. However, both BCG and SCG are impacted by respiration, leading to a periodic modulation of t...

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Neural architecture search (NAS) is gaining more and more attention in recent years because of its flexibility and remarkable capability to reduce the...

Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models.

The huge number of network traffic data, the abundance of available network features, and the diversity of cyber-attack patterns mean that intrusion d...

Priorities for successful use of artificial intelligence by public health organizations: a literature review.

Artificial intelligence (AI) has the potential to improve public health's ability to promote the health of all people in all communities. To successfu...

Chardonnay Marc as a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits.

Research continues to provide compelling insights into potential health benefits associated with diets rich in plant-based natural products (PBNPs). C...

Bias reduction in representation of histopathology images using deep feature selection.

Appearing traces of bias in deep networks is a serious reliability issue which can play a significant role in ethics and generalization related concer...

Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias.

In this article, a delay-compensation-based state estimation (DCBSE) method is given for a class of discrete time-varying complex networks (DTVCNs) su...

International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases.

In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention ...

Artificial intelligence and clinical anatomical education: Promises and perils.

Anatomy educators are often at the forefront of adopting innovative and advanced technologies for teaching, such as artificial intelligence (AI). Whil...

Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs.

Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generaliz...

Can We Predict Clinical Pharmacokinetics of Highly Lipophilic Compounds by Integration of Machine Learning or In Vitro Data into Physiologically Based Models? A Feasibility Study Based on 12 Development Compounds.

While high lipophilicity tends to improve potency, its effects on pharmacokinetics (PK) are complex and often unfavorable. To predict clinical PK in e...

Recover User's Private Training Image Data by Gradient in Federated Learning.

Exchanging gradient is a widely used method in modern multinode machine learning system (e.g., distributed training, Federated Learning). Gradients an...

Jointly estimating bias field and reconstructing uniform MRI image by deep learning.

Bias field is one of the main artifacts that degrade the quality of magnetic resonance images. It introduces intensity inhomogeneity and affects image...

Algorithmic fairness in computational medicine.

Machine learning models are increasingly adopted for facilitating clinical decision-making. However, recent research has shown that machine learning t...

TAFM: A Recommendation Algorithm Based on Text-Attention Factorization Mechanism.

The click-through rate (CTR) prediction task is used to estimate the probabilities of users clicking on recommended items, which are extremely importa...

Deep learning-based image deconstruction method with maintained saliency.

Visual properties that primarily attract bottom-up attention are collectively referred to as saliency. In this study, to understand the neural activit...

When Does Diversity Help Generalization in Classification Ensembles?

Ensembles, as a widely used and effective technique in the machine learning community, succeed within a key element-"diversity." The relationship betw...

Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information.

The deterioration of infrastructure's health has become more predominant on a global scale during the 21st century. Aging infrastructure as well as th...

What is the mission of innovation?-Lexical structure, sentiment analysis, and cosine similarity of mission statements of research-knowledge intensive institutions.

Mission statements (henceforth: missions) are strategic planning communication tools used by all types of organizations worldwide. Missions communicat...