Uppsala University

Deep learning based tissue analysis predicts outcome in colorectal cancer

Dmitrii Bychkov, Nina Linder, Riku Turkki et al.

2018 · 645 Zit.

Testing of detection tools for AI-generated text

Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba et al.

2023 · 374 Zit.

Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA

Behzad Foroughi, Madugoda Gunaratnege Senali, Mohammad Iranmanesh et al.

2023 · 357 Zit.

Generative artificial intelligence in the metaverse era

Zhihan Lv

2023 · 293 Zit.

AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses

Michael A. Peters, Liz Jackson, Marianna Papastephanou et al.

2023 · 165 Zit.

How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

Rikard Rosenbacke, Åsa Melhus, Martin McKee et al.

2024 · 132 Zit.

Generative artificial intelligence in primary care: an online survey of UK general practitioners

Charlotte Blease, Cosima Locher, Jens Gaab et al.

2024 · 125 Zit.

ChatGPT and mental healthcare: balancing benefits with risks of harms

Charlotte Blease, John Torous

2023 · 111 Zit.

Plagiarism in research

Gert Helgesson, Stefan Eriksson

2014 · 102 Zit.

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi et al.

2022 · 99 Zit.

Psychiatrists’ experiences and opinions of generative artificial intelligence in mental healthcare: An online mixed methods survey

Charlotte Blease, Abigail Worthen, John Torous

2024 · 85 Zit.

Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland

Charlotte Blease, Anna Kharko, Michael H. Bernstein et al.

2022 · 83 Zit.

Generative artificial intelligence in mental health care: potential benefits and current challenges

John Torous, Charlotte Blease

2024 · 73 Zit.

Performance of ChatGPT on the test of understanding graphs in kinematics

Giulia Polverini, Bor Gregorcic

2024 · 49 Zit.

Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review

Marc Ghanem, Abdul Karim Ghaith, Victor Gabriel El-Hajj et al.

2023 · 44 Zit.