Eyal Klang
Researcher Next ID · RN-042185
Researcher · Biochemistry, Genetics and Molecular Biology
Beth Israel Deaconess Medical Center
Boston, Israel
- Works count
- 472
- Citation count
- 12,636
- H-index
- 52
- i10-index
- 189
Research interests
Publications
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
Communications Medicine · 2025 · 10.1038/s43856-025-01021-3
Large Language Models and Empathy: Systematic Review
Journal of Medical Internet Research · 2024 · 10.2196/52597
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Scientific Reports · 2023 · https://doi.org/10.1038/s41598-023-43436-9
Large language model (ChatGPT) as a support tool for breast tumor board
npj Breast Cancer · 2023 · 10.1038/s41523-023-00557-8
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
JMIR Medical Informatics · 2021 · 10.2196/24207
Severe Obesity as an Independent Risk Factor for COVID‐19 Mortality in Hospitalized Patients Younger than 50
Obesity · 2020 · https://doi.org/10.1002/oby.22913
Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review
Academic Radiology · 2020 · 10.1016/j.acra.2019.12.024
Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis
Gastrointestinal Endoscopy · 2020 · https://doi.org/10.1016/j.gie.2020.04.039
Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review
Journal of the American College of Radiology · 2020 · 10.1016/j.jacr.2019.12.026
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
Radiology · 2019 · https://doi.org/10.1148/radiol.2018180547
Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
Gastrointestinal Endoscopy · 2019 · https://doi.org/10.1016/j.gie.2019.11.012
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection
Engineering Applications of Artificial Intelligence · 2018 · 10.1016/j.engappai.2018.11.013
Synthetic data augmentation using GAN for improved liver lesion classification
· 2018 · 10.1109/isbi.2018.8363576
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
Neurocomputing · 2018 · https://doi.org/10.1016/j.neucom.2018.09.013
Fully Convolutional Network for Liver Segmentation and Lesions Detection
Lecture notes in computer science · 2016 · 10.1007/978-3-319-46976-8_9
A volcanic explosion of autoantibodies in systemic lupus erythematosus: A diversity of 180 different antibodies found in SLE patients
Autoimmunity Reviews · 2014 · https://doi.org/10.1016/j.autrev.2014.10.003
Current projects
No projects listed.