A5090455372- Artificial Intelligence in Healthcare and Education
- Data Quality and Management
- Topic Modeling
- Cutaneous Melanoma Detection and Management
- Ethics and Social Impacts of AI
- Information Society and Technology Trends
- Advanced Graph Neural Networks
- Radiology practices and education
- Disaster Response and Management
- Machine Learning in Healthcare
- Cardiac Arrest and Resuscitation
- Expert finding and Q&A systems
- Explainable Artificial Intelligence (XAI)
- COVID-19 diagnosis using AI
University of California, Berkeley
2020-2024
Berkeley College
2020
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper presents review of the key arguments favor and against explainability AI-powered Clinical Decision Support System (CDSS) applied to concrete use case, namely an CDSS currently used emergency call setting identify patients with life-threatening cardiac arrest. More specifically, we performed normative analysis using socio-technical scenarios provide nuanced account role CDSSs allowing abstractions...
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of artificial intelligence (AI) system component for healthcare. The explains decisions made by deep learning networks analyzing images skin lesions. trustworthy AI developed here used a holistic approach rather than static ethical checklist and required multidisciplinary team experts working with designers their managers. Ethical, legal, technical issues potentially arising...
Artificial Intelligence (AI) has the potential to greatly improve delivery of healthcare and other services that advance population health wellbeing. However, use AI in also brings risks may cause unintended harm. To guide future developments AI, High-Level Expert Group on set up by European Commission (EC), recently published ethics guidelines for what it terms “trustworthy” AI. These are aimed at a variety stakeholders, especially guiding practitioners toward more ethical robust...
This article's main contributions are twofold: 1) to demonstrate how apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice domain of healthcare and 2) investigate research question what does "trustworthy AI" mean at time COVID-19 pandemic. To this end, we present results a post-hoc self-assessment evaluate trustworthiness an system predicting multiregional score conveying degree lung compromise patients, developed verified by...
The Sustainable Development Goals (SDGs) are the framework adopted by global community to encourage taking actions on multiple challenges facing world today ensure environmental protection, health and well-being, economic prosperity. This provides a detailed list of indicators that interconnected cover holistic view sustainable development. goals were defined United Nations General Assembly in 2015 expected be achieved 2030. Since release this agenda, research has begun intensify work these...