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Showing 11 of 51 academic articles

Mapping inequities in global vaccine sentiment research

Aleksandra Torbica, Deepak Sharma, Duilio Balsamo, Vittoria Offeddu et al. • BMJ Global Health (2025)

Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjgh-2024-018587

Documenting Computer Vision Datasets

Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler et al. • ACM Conference on Fairness, Accountability, and Transparency (FAccT) (2021)

In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Recent research taking issue with such opacity has proposed standardized processes for dataset documentatio...

OPENALEX cc-by DOI: https://doi.org/10.1145/3442188.3445880

Deep Learning in Mammography

Anton S. Becker, Magda Marcon, Soleen Ghafoor, Moritz C. Wurnig et al. • Investigative Radiology (2017)

OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mam...

OPENALEX DOI: https://doi.org/10.1097/rli.0000000000000358

Machine Learning

Ethem Alpaydın • The MIT Press eBooks (2021)

A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...

OPENALEX Open Access DOI: https://doi.org/10.7551/mitpress/13811.001.0001

Artificial Intelligence and Human Rights

Eileen Donahoe, Megan MacDuffee Metzger • Journal of democracy (2019)

Rapid adoption of artificial intelligence (AI) technologies and increased reliance upon AI by both governments and the private sector have led to rising concern about potential negative implications for human dignity, democratic accountabil...

OPENALEX DOI: https://doi.org/10.1353/jod.2019.0029

Artificial intelligence tools in dermatology education: A scoping review on their application, efficacy, and limitations

Chun Hian John Yap, Ziying Vanessa Lim • Annals, Academy of Medicine, Singapore (2026)

Introduction: Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AI-enhanced learning. However, evidence on its educational effectiveness remains...

DOAJ Open Access (DOAJ) DOI: 10.47102/annals-acadmedsg.2026346

The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare

Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting • British Medical Bulletin (2021)

INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare. This article reviews AI's present applications in healthcare, including its benefits, limitations and...

OPENALEX DOI: https://doi.org/10.1093/bmb/ldab016

Artificial Intelligence and Surgical Decision-making

Tyler John Loftus, Patrick James Tighe, Amanda C. Filiberto, Philip Alexander Efron et al. • JAMA Surgery (2019)

Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...

OPENALEX Open Access DOI: https://doi.org/10.1001/jamasurg.2019.4917 PMC: 7286802