University of Helsinki
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep learning based tissue analysis predicts outcome in colorectal cancer
Dmitrii Bychkov, Nina Linder, Riku Turkki et al.
2018 · 642 Zit.
ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim et al.
2023 · 302 Zit.
The emerging role of cognitive computing in healthcare: A systematic literature review
Rajat Kumar Behera, Pradip Kumar Bala, Amandeep Dhir
2019 · 183 Zit.
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen et al.
2021 · 168 Zit.
Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews
Antti Mäkitie, Rasheed Omobolaji Alabi, Sweet Ping Ng et al.
2023 · 61 Zit.
The Instructional Challenges of Student Plagiarism
Erika Löfstrôm, Pauliina Kupila
2013 · 56 Zit.
Towards Regulatory-Compliant MLOps: Oravizio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product
Tuomas Granlund, Vlad Stirbu, Tommi Mikkonen
2021 · 49 Zit.
Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
Belinda De Simone, Fikri M. Abu‐Zidan, Andrew A. Gumbs et al.
2022 · 47 Zit.
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo et al.
2024 · 46 Zit.
A platform for the biomedical application of large language models
Sebastian Lobentanzer, Shaohong Feng, Noah Bruderer et al.
2025 · 43 Zit.
Concordance as evidence in the Watson for Oncology decision-support system
Aaro Tupasela, Ezio Di Nucci
2020 · 39 Zit.
Potential applications of <scp>ChatGPT</scp> in dermatology
Nicolas Kluger
2023 · 34 Zit.
Ethical considerations in AI for child health and recommendations for child-centered medical AI
Seo Yi Chng, Mark Jun Wen Tern, Yung Seng Lee et al.
2025 · 34 Zit.
Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model
Turkka Anttila, Teemu Karjalainen, Teemu Mäkelä et al.
2022 · 33 Zit.
Deep learning in forensic gunshot wound interpretation—a proof-of-concept study
Petteri Oura, Alina Junno, Juho‐Antti Junno
2021 · 31 Zit.