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Phuong Dinh Ngo

Bio

Phuong Dinh Ngo received his Ph.D. degree from Purdue University, USA, in Mechanical Engineering and Intelligent Systems. He is the Head of the Technology and AI Department at the Norwegian Centre for E-health Research. With a multidisciplinary background and expertise in artificial intelligence, his research focuses on generative AI, robust and safe AI for healthcare applications, such as artificial pancreas solutions for type-1 diabetes patients and clinical decision support systems for patients with multimorbidity. Dr. Phuong has also significantly contributed to developing Norway's first clinical language models and advancing ethical and democratic AI practices, aiming to improve healthcare delivery and equity through technology. 

Phuong's projects
Project title Year Theme Project management
PACT I and II 2015 - 2021 Patient pathways
Gro Berntsen
Exploring electronic phenotyping for clinical practice in Norway 2019 - 2020 Health data
Alexandra Makhlysheva
Knowledge summary: AI Implementation in Healthcare 2021 - 2022 Health data
Maryam Tayefi Nasrabadi
WARIFA: Watching the risk factors: Artificial intelligence and the personalized prevention and management of chronic conditions 2021 - 2025 Citizen services
Health data
Conceição Granja Thomas Roger Schopf
ClinCode - Computer-Assisted Clinical ICD-10 Coding for improving efficiency and quality in healthcare 2021 - 2024 Health data
Hercules Dalianis
Identification of multimorbid patients with impactable risk profiles using artificial intelligence, the IM-PACT method 2021 - 2023 Pasientforløp
Helsedata
Gro Berntsen Maryam Tayefi Nasrabadi
SMART: Sensor data and machine learning to aid hormone replacement of the thyroid 2024 - 2026 Health data
Services for health professionals
Miguel A. Tejedor
RESPOND: Culturally Responsive Digital Peer Support for Young Sámi persons with Depression 2024 - 2024 Citizen services
Bo Wang
AI Democratization for All 2024 - 2025 Innbyggertjenester
Anne Moen
AI-SHeFMan - Sustainable and Healthy Food Management System using Generative AI 2025 - 2027 Maryam Tayefi Nasrabadi
EasyICD: AI-assisted ICD-10 clinical coding 2026 - 2026 Anne Torill Nordsletta
UTOPIA - Understanding Threats and Optimizing mitigation, and enabling Privacy-by-design in AI 2026 - 2030 Helsedata
Health data
Kassaye Yitbarek Yigzaw
Phuong's publications in Cristin
Title Year Category
True Inclusion in AI Governance and Health: A Narrative Perspective on Indigenous Peoples in the EU AI Act and Beyond 2025 Poster
Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial 2025 Academic article
Domain-Specific Pretraining of NorDeClin-Bidirectional Encoder Representations From Transformers for International Statistical Classification of Diseases, Tenth Revision, Code Prediction in Norwegian Clinical Texts: Model Development and Evaluation Study 2025 Academic article
Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model 2024 Academic article
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial 2024 Academic article
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives 2024 Academic article
Exploring Pain Reduction through Physical Activity: A Case Study of Seven Fibromyalgia Patients 2024 Academic article
Telehealth development in the WHO European region: Results from a quantitative survey and insights from Norway 2024 Academic article
De-identifying Norwegian Clinical Text using Resources from Swedish and Danish 2023 Academic article
De-identifying Norwegian clinical text using resources from Swedish and Danish 2023 Academic lecture
Using a large open clinical corpus for improved ICD-10 diagnosis coding 2023 Academic article
Using a large open clinical corpus for improved ICD-10 diagnosis coding 2023 Academic lecture
Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk 2023 Report
Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption 2022 Report
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators 2022 Academic literature review
IMPACT: Identification of multimorbid patients with impactable risk profiles using machine learning 2022 Academic lecture
Data-Driven Robust Control Using Reinforcement Learning 2022 Academic article
Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation 2021 Academic article
Machine Learning in Chronic Pain Research: A Scoping Review 2021 Academic literature review
Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation (Archives of Computational Methods in Engineering, (2021), 10.1007/s11831-021-09582-x) 2021 Errata
Kunstig intelligens kan hjelpe diabetespasienter å trene trygt 2021 Interview
Challenges and opportunities beyond structured data in analysis of electronic health records 2021 Academic literature review
Toward A Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes 2020 Abstract
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities 2020 Academic article
Utforsking av elektronisk fenotyping for klinisk praksis 2020 Report
Exploring electronic phenotyping for clinical practice in Norwegian settings 2020 Report
Food recommendation using machine learning for physical activities in patients with type 1 diabetes 2019 Academic article
Reinforcement-Learning Optimal Control for Type-1 Diabetes 2018 Poster
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning 2018 Lecture
Data-Driven Robust Control Using Reinforcement Learning 2018 Lecture
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm 2018 Academic article
Reinforcement-Learning Optimal Control for Type-1 Diabetes 2018 Academic chapter/article/Conference paper
Reinforcement Learning Algorithm for Patients with Type-1 Diabetes 2017 Poster
Phuong's project reports
Report no. Title Author(s)
2023 01 Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk Alexandra Makhlysheva, Phuong Dinh Ngo, Miguel A. Tejedor, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi, Luis Marco Ruiz, Therese Svenning
2022 01 Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption Alexandra Makhlysheva, Phuong Dinh Ngo, Miguel A. Tejedor, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi, Luis Marco Ruiz, Therese Svenning
2020 04 Utforsking av elektronisk fenotyping for klinisk praksis Alexandra Makhlysheva, Phuong Dinh Ngo, Maryam Tayefi Nasrabadi, Torbjørn Torsvik, Taridzo Chomutare
2020 03 Exploring electronic phenotyping for clinical practice in Norwegian settings Alexandra Makhlysheva, Maryam Tayefi Nasrabadi, Phuong Dinh Ngo, Taridzo Chomutare, Torbjørn Torsvik
Phuong's posters
Poster no. Title Author(s) Size
2020 02 Toward a Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes Phuong Dinh Ngo, Eirik Årsand, Fred Godtliebsen 90x120 cm