Surveys

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and typically diag...

Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire.

The Self-Rating Depression Scale (SDS) questionnaire is commonly utilized for effective depression p...

Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis.

Qualitative research remains underused, in part due to the time and cost of annotating qualitative d...

Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review.

IMPORTANCE: Clinical artificial intelligence (AI) algorithms have the potential to improve clinical ...

Risk of Bias and Error From Data Sets Used for Dermatologic Artificial Intelligence.

Simply Adjusting for Schedulers' Bias in Estimated Case Durations Can Accomplish the Same Objectives of Improving Predictions as Use of Machine Learning-Reply.

Simply Adjusting for Schedulers' Bias in Estimated Case Durations Can Accomplish the Same Objectives of Improving Predictions as Use of Machine Learning.

Regularized Bayesian transfer learning for population-level etiological distributions.

Computer-coded verbal autopsy (CCVA) algorithms predict cause of death from high-dimensional family ...

A survey of extant organizational and computational setups for deploying predictive models in health systems.

OBJECTIVE: Artificial intelligence (AI) and machine learning (ML) enabled healthcare is now feasible...

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

OBJECTIVES: To assess fairness and bias of a previously validated machine learning opioid misuse cla...

A comprehensive review of the imbalance classification of protein post-translational modifications.

Post-translational modifications (PTMs) play significant roles in regulating protein structure, acti...

A survey on computational models for predicting protein-protein interactions.

Proteins interact with each other to play critical roles in many biological processes in cells. Alth...

Identification of haploinsufficient genes from epigenomic data using deep forest.

Haploinsufficiency, wherein a single allele is not enough to maintain normal functions, can lead to ...

Invited Commentary: Quantitative Bias Analysis Can See the Forest for the Trees.

The accompanying article by Jiang et al. (Am J Epidemiol. 2021;190(9):1830-1840) extends quantitativ...

Interest in artificial intelligence for the diagnosis of non-melanoma skin cancer: a survey among French general practitioners.

General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...

Machine learning powered tools for automated analysis of muscle sympathetic nerve activity recordings.

Automated analysis and quantification of physiological signals in clinical practice and medical rese...

A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

The studies on relationships between non-coding RNAs and diseases are widely carried out in recent y...

ABCModeller: an automatic data mining tool based on a consistent voting method with a user-friendly graphical interface.

In order to extract useful information from a huge amount of biological data nowadays, simple and co...

A survey on deep learning in DNA/RNA motif mining.

DNA/RNA motif mining is the foundation of gene function research. The DNA/RNA motif mining plays an ...

Data-Free Knowledge Distillation for Heterogeneous Federated Learning.

Federated Learning (FL) is a decentralized machine-learning paradigm in which a global server iterat...

Black Boxes and Bias in AI Challenge Autonomy.