AIMC Topic: Artificial Intelligence

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What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results.

Studies in health technology and informatics
We present preliminary results of a systematic review of reporting guidelines for nine papers from clinical and non-clinical databases. Initial results show that there is no single standard that fulfills the needs of distinct stakeholders.

Enhancing Clinical Decision Support: A Heuristic Evaluation of Explainable AI in Healthcare Dashboards.

Studies in health technology and informatics
Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability and actionability of AI systems, particularly in healthcare. The SAD XAI Dashboard, a clinical decision support (CDS) tool for sepsis-associated deliriu...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

Studies in health technology and informatics
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by developing an AI-a...

Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.

Studies in health technology and informatics
Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists with diagnosis and reporting. An AI tool is being developed that analyzes digital Hematoxylin and Eosin (stained tissue) images associated with a ski...

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

Studies in health technology and informatics
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...

Co-Designing a "win-win" in Predictive AI: First Results from Interviews and Focus Groups with Persons with Parkinson's Disease.

Studies in health technology and informatics
This study explored the perspectives of people with Parkinson's disease (PwP) involved in the co-design of AI tools for PD care. The aim was to understand PwP perspectives on AI tools and identify factors influencing their engagement. A qualitative t...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Studies in health technology and informatics
Advances in Artificial Intelligence (AI) and other technologies together with increasing economic and care pressures have popularized the use and development of digital health solutions and interventions, in particular in mental health. Associated wi...

Generative Artificial Intelligence in Dental Implants.

Studies in health technology and informatics
Generative Artificial Intelligence holds promising applications in dentistry, revolutionizing various aspects of patient care, treatment planning, and education. One key application is the creation of realistic 3D models of dental structures, enablin...

An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

Studies in health technology and informatics
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface web service, data retrieval web service, and AI web service. Numerous Predictive AI (PAI) applications were deployed successfully. By 2023, the hospital...