Surveys

Preprocessing to Address Bias in Healthcare Data.

Multimorbidity, having a diagnosis of two or more chronic conditions, increases as people age. It is...

Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.

Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and di...

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-...

Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.

OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that pr...

A proposal for developing a platform that evaluates algorithmic equity and accuracy.

We are at a pivotal moment in the development of healthcare artificial intelligence (AI), a point at...

Global disparity bias in ophthalmology artificial intelligence applications.

AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system.

Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the ...

Harnessing of real-world data and real-world evidence using digital tools: utility and potential models in rheumatology practice.

The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater...

Perceptions of Artificial Intelligence Integration into Dermatology Clinical Practice: A Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) is a growing field in dermatology and has great potential f...

Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysis.

Since its selection as the method of the year in 2013, single-cell technologies have become mature e...

Artificial intelligence in drug discovery: applications and techniques.

Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade...

Towards gender equity in artificial intelligence and machine learning applications in dermatology.

There has been increased excitement around the use of machine learning (ML) and artificial intellige...

Mitigating Racial Bias in Machine Learning.

When applied in the health sector, AI-based applications raise not only ethical but legal and safety...

Artificial intelligence behind the scenes: PubMed's Best Match algorithm.

This article focuses on PubMed's Best Match sorting algorithm, presenting a simplified explanation o...

On Algorithmic Fairness in Medical Practice.

The application of machine-learning technologies to medical practice promises to enhance the capabil...

Demographic Reporting in Publicly Available Chest Radiograph Data Sets: Opportunities for Mitigating Sex and Racial Disparities in Deep Learning Models.

OBJECTIVE: Data sets with demographic imbalances can introduce bias in deep learning models and pote...

Deep Learning for Outcome Prediction in Neurosurgery: A Systematic Review of Design, Reporting, and Reproducibility.

Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predi...

A Survey on Machine Learning Based Medical Assistive Systems in Current Oncological Sciences.

BACKGROUND: Cancer is one of the life-threatening diseases which is affecting a large number of popu...

Rising to the challenge of bias in health care AI.

Standfirst: AI-based models may amplify pre-existing human bias within datasets; addressing this pro...

Comparison of Surgical Outcomes Between Enucleation and Standard Resection in Robot-Assisted Partial Nephrectomy for Completely Endophytic Renal Tumors Through a 1:1 Propensity Score-Matched Analysis.

Robot-assisted laparoscopic partial nephrectomy (RAPN) for completely endophytic renal tumors is ch...

Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison.

The biomedical literature is growing rapidly, and the extraction of meaningful information from the ...