Cultural Competence

On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

A review, recently published in this journal by Fang (2019), showed that methods trained for the pre...

Deep learning and cancer biomarkers: recognising lead-time bias - Authors' reply.

Deep learning and cancer biomarkers: recognising lead-time bias.

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.

The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection ra...

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Machine learning systems have received much attention recently for their ability to achieve expert-l...

Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis.

To date, widely generalizable artificial intelligence (AI) programs for medical image analysis have ...

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

The rise of digital data and computing power have contributed to significant advancements in artific...

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Accumulating evidence demonstrates the impact of bias that reflects social inequality on the perform...

Latent bias and the implementation of artificial intelligence in medicine.

Increasing recognition of biases in artificial intelligence (AI) algorithms has motivated the quest ...

The emergence of new trends in clinical laboratory diagnosis.

Diagnostic processes typically rely on traditional and laborious methods, that are prone to human er...

Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (...

Artificial intelligence and automation of systematic reviews in women's health.

PURPOSE OF REVIEW: Evidence-based women's healthcare is underpinned by systematic reviews and guidel...

The STAR-C Intelligent Coach: A Cross-Disciplinary Design Process of a Behavior Change Intervention in Primary Care.

A broad range of aspects are needed to be taken into consideration in the design and development of ...

COVID-19 and the epistemology of epidemiological models at the dawn of AI.

The models used to estimate disease transmission, susceptibility and severity determine what epidemi...

Artificial Intelligence for Personalized Preventive Adolescent Healthcare.

Recent advances in artificial intelligence (AI) are creating new opportunities for personalizing tec...

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation...

Empirical assessment of bias in machine learning diagnostic test accuracy studies.

OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care....

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.

BACKGROUND: The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and app...

Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.

MOTIVATION: Protein structure refinement is an important step of protein structure prediction. Exist...

Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data.

Electronic Health Records (EHR) contain extensive patient data on various health outcomes and risk p...

Addressing Bias in Artificial Intelligence in Health Care.