Weizmann Institute of Science

Machine learning in clinical decision making

Lorenz Adlung, Yotam Cohen, Uria Mor et al.

2021 · 255 Zit.

COVID-19 classification of X-ray images using deep neural networks

Daphna Keidar, Daniel Yaron, Elisha Goldstein et al.

2021 · 74 Zit.

Using generative AI to investigate medical imagery models and datasets

Oran Lang, Doron Stupp, Ilana Traynis et al.

2024 · 48 Zit.

Exploring the role of artificial intelligence, large language models: Comparing patient‐focused information and clinical decision support capabilities to the gynecologic oncology guidelines

Lee Reicher, Guy Lutsker, Nadav Michaan et al.

2024 · 21 Zit.

AI for chemistry teaching: responsible AI and ethical considerations

Ron Blonder, Yael Feldman-Maggor

2024 · 21 Zit.

The Impact of Explainable AI on Teachers’ Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations

Yael Feldman-Maggor, Mutlu Cukurova, Carmel Kent et al.

2025 · 14 Zit.

AI in search of human help

Ashley B. Heim, Tina Bharani, Nikos Konstantinides et al.

2023 · 3 Zit.

Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments

Alona Strugatski, Giora Alexandron

2025 · 2 Zit.

AI and Point of Care Image Analysis for COVID-19

Michael Roberts, Oz Frank, Shai Bagon et al.

2022 · 0 Zit.

Association of echocardiographic findings with mortality: human assessment vs. automated deep learning analysis

Roei Merin, Moran Gvili Perelman, Hila Merin et al.

2026 · 0 Zit.