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News & Events January 30, 2026

TANGO is pleased to disseminate a new Call for Papers for a topical collection in Discover Artificial Intelligence entitled:

“Responsible AI in Healthcare: Bridging Technical Innovation and Multi-Stakeholder Needs”

As Artificial Intelligence becomes increasingly embedded in clinical decision-making, patient care pathways, and health outcomes, ensuring that AI systems are not only technically robust but also trustworthy, equitable and aligned with diverse stakeholder needs is critical. This collection focuses on operationalising responsible AI across the healthcare ecosystem, moving beyond explainability to address governance, ethics, workflow integration, fairness, bias mitigation, privacy, accountability and inclusive design.

The collection aims to bring together interdisciplinary contributions demonstrating how AI systems can be designed, validated and implemented collaboratively with clinicians, patients, researchers, administrators and policymakers, ensuring inclusive, equitable and effective outcomes in real-world healthcare settings.

Important Date

  • Submission deadline: 5 October 2026

Submission Guidelines

  • Article types: Research, Review, Brief Report, Case Study, Methodology, Perspective, and others

  • Format: In line with Discover Artificial Intelligence author guidelines

  • Submission portal: https://www.springer.com/journal/44163/submission-guidelines

  • Note: In the submission system, please select this collection from the drop-down menu on the Details tab.

Topics of Interest

Contributions may address, but are not limited to, the following areas:

1. Human-Centred AI and Participatory Design

  • Co-design methodologies in healthcare AI

  • Stakeholder engagement strategies

  • Multi-stakeholder collaboration frameworks

2. Fairness and Bias Mitigation

  • Algorithmic fairness in clinical contexts

  • Equitable AI deployment

  • Bias detection and mitigation strategies

3. Clinical Integration and Validation

  • Workflow integration of AI tools

  • Clinical validation methodologies

  • Evaluation frameworks for healthcare AI

4. Governance and Implementation

  • Regulatory and ethical frameworks

  • Responsible data governance

  • Privacy preservation and informed consent

  • Implementation case studies

5. Domain-Specific Applications

  • AI-driven neurorehabilitation tools

  • Wearable systems and adaptive interfaces

  • Clinical decision support systems

  • Telehealth and remote care AI

6. AI Communication and Interaction

  • Natural language processing for health communication

  • Conversational AI for ethical decision support

  • Explainable AI in clinical contexts

7. Data and Modelling

  • Multimodal data fusion

  • Personalised healthcare using AI

  • Digital biomarkers and predictive modelling

About the Journal

Discover Artificial Intelligence is a transdisciplinary open access journal publishing research on all aspects of AI theory, methodology and applications (SJR 2024: 0.876, Q1). The journal reports a median time to first decision of 23 days.

Open Access funding: Many institutions have agreements with Springer Nature. Eligibility can be checked here:
https://www.springernature.com/gp/open-science/funding/articles#c14214262

Guest Editors

  • Giuseppe Prencipe, Associate Professor, University of Pisa, Italy

  • Silvia Filogna, Researcher, IRCCS Fondazione Stella Maris, Italy

  • Tommaso Turchi, Assistant Professor, University of Pisa, Italy

This collection supports interdisciplinary research across computer science, biomedical engineering, clinical research, ethics and policy, contributing to SDG 9 – Industry, Innovation and Infrastructure.

Full collection details: https://link.springer.com/collections/ccieiafgad
Contact: Tommaso Turchi – tommaso.turchi@unipi.it

We warmly encourage researchers, practitioners and policymakers working at the intersection of AI and healthcare to contribute to this important initiative.