Surveys

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

Artificial Intelligence and the Future of the Drug Safety Professional.

The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to sup...

Learning From Peers' Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning.

Existing research shows that people can improve their decision skills by learning what experts paid ...

Deep learning in omics: a survey and guideline.

Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A h...

A Survey on Medical Image Analysis in Capsule Endoscopy.

BACKGROUND AND OBJECTIVE: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to ...

Three Problems with Big Data and Artificial Intelligence in Medicine.

The rise of big data and artificial intelligence (AI) in health care has engendered considerable exc...

Bias in Artificial Intelligence.

Benefits, Pitfalls, and Potential Bias in Health Care AI.

As the health care industry adopts artificial intelligence, machine learning, and other modeling tec...

Engineering Bias in AI.

After working at Apple designing circuits and signal processing algorithms for products including th...

Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities.

In this chapter, a new method to evaluate the reliability of predicting new uses of existing drugs w...

Survey of Machine Learning Techniques in Drug Discovery.

BACKGROUND: Drug discovery, which is the process of discovering new candidate medications, is very i...

Efficient inference for time-varying behavior during learning.

The process of learning new behaviors over time is a problem of great interest in both neuroscience ...

Identification and Estimation Of Causal Effects from Dependent Data.

The assumption that data samples are independent and identically distributed (iid) is standard in ma...

Gene multifunctionality scoring using gene ontology.

Multifunctional genes are important genes because of their essential roles in human cells. Studying ...

PathwaySplice: an R package for unbiased pathway analysis of alternative splicing in RNA-Seq data.

SUMMARY: Pathway analysis of alternative splicing would be biased without accounting for the differe...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Prior work has shown that smartphone spirometry can effectively measure lung function using the phon...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...

Bias detectives: the researchers striving to make algorithms fair.

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

Motivated by the great potential of deep learning in medical imaging, we propose an iterative positr...

Applications of Deep Learning and Reinforcement Learning to Biological Data.

Rapid advances in hardware-based technologies during the past decades have opened up new possibiliti...