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Eyal Klang

Researcher Next ID · RN-042185

Researcher · Biochemistry, Genetics and Molecular Biology

Beth Israel Deaconess Medical Center

Boston, Israel

Accepting doctoral researchersFunding unknown
Works count
472
Citation count
12,636
H-index
52
i10-index
189

Research interests

Biochemistry, Genetics and Molecular Biology
Computer Science
Medicine
Artificial Intelligence in Healthcare and Education
Machine Learning in Healthcare
Inflammatory Bowel Disease
Radiomics and Machine Learning in Medical Imaging
Topic Modeling

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.