Image de couverture de livre

Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wu, John, Wu, Zhenbang, Sun, Jimeng
Format:	Preprint
Publié:	2026
Sujets:	Computers and Society Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bridging the Gap in the Responsible AI Divides
par: Gyevnár, Bálint, et autres
Publié: (2026)

The Role of Open-Source LLMs in Shaping the Future of GeoAI
par: Huang, Xiao, et autres
Publié: (2025)

Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework
par: Park, Sangchul
Publié: (2023)

FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
par: Yesmin, Farjana
Publié: (2026)

Reproducible workflow for online AI in digital health
par: Ghosh, Susobhan, et autres
Publié: (2025)

Talking Slide Avatars: Open-Source Multimodal Communication Approach for Teaching
par: Wu, Xinxing
Publié: (2026)

NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
par: Vishwarupe, Varad, et autres
Publié: (2026)

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers
par: Osborne, Cailean, et autres
Publié: (2024)

Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
par: Osborne, Cailean
Publié: (2024)

Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
par: Atkinson, David
Publié: (2025)

The Reasonable Person Standard for AI
par: Rane, Sunayana
Publié: (2024)

An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards
par: Hernandez, Julio, et autres
Publié: (2024)

A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
par: Miklian, Jason, et autres
Publié: (2025)

Towards Open Standards for Systemic Complexity in Digital Forensics
par: Di Maio, Paola
Publié: (2025)

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
par: Gipiškis, Rokas, et autres
Publié: (2024)

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
par: Nasir, Sidra, et autres
Publié: (2023)

AI Research is not Magic, it has to be Reproducible and Responsible: Challenges in the AI field from the Perspective of its PhD Students
par: Hrckova, Andrea, et autres
Publié: (2024)

Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
par: Wu, John, et autres
Publié: (2024)

Before the Clinic: Transparent and Operable Design Principles for Healthcare AI
par: Bakumenko, Alexander, et autres
Publié: (2025)

Inclusivity of AI Speech in Healthcare: A Decade Look Back
par: Larasati, Retno
Publié: (2025)

Interoperability in AI Safety Governance: Ethics, Regulations, and Standards
par: Chin, Yik Chan, et autres
Publié: (2026)

The Role of Generative AI in Software Student CollaborAItion
par: Kiesler, Natalie, et autres
Publié: (2025)

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
par: Lewington, Aiden, et autres
Publié: (2024)

Bridging the Digital Divide: Small Language Models as a Pathway for Physics and Photonics Education in Underdeveloped Regions
par: Ghorbani, Asghar, et autres
Publié: (2025)

Artificial Intelligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide
par: Jungherr, Andreas, et autres
Publié: (2025)

Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
par: Rincon, John, et autres
Publié: (2025)

PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
par: Wu, John, et autres
Publié: (2026)

Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
par: Han, Shanshan
Publié: (2024)

Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
par: Sankaran, Sridharan
Publié: (2025)

Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey
par: Gadekallu, Thippa Reddy, et autres
Publié: (2025)

AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories
par: Yu, Ning, et autres
Publié: (2025)

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?
par: Besiroglu, Tamay, et autres
Publié: (2024)

Bridging the AI divide in sub-Saharan Africa: Challenges and opportunities for inclusivity
par: Malatji, Masike
Publié: (2026)

Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
par: Bürger, Valerie, et autres
Publié: (2026)

Forecasting Open-Weight AI Model Growth on HuggingFace
par: Bhandari, Kushal Raj, et autres
Publié: (2025)

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
par: White, Matt, et autres
Publié: (2024)

AuditWen:An Open-Source Large Language Model for Audit
par: Huang, Jiajia, et autres
Publié: (2024)

Standards for trustworthy AI in the European Union: technical rationale, structural challenges, and an implementation path
par: Bisconti, Piercosma, et autres
Publié: (2026)

STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
par: McCaslin, Tegan, et autres
Publié: (2025)

Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
par: Vatsal, Shubham, et autres
Publié: (2026)