Medical Journals

  • Publications

    Building AI with
    strong scientific
    evidence

  • Chest

    COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

    Jun 7, 2021 — 4 min read

    Eui Jin Hwang et al.

  • Chest

    Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs

    Nov 3, 2020 — 3 min read

    Ju Gang Nam et al.

  • Breast

    External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms

    Aug 27, 2020 — 5 MIN READ

    Mattie Salim, MD et al.

  • Breast

    Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study

    Mar 1, 2020 — 4 MIN READ

    Hyo-Eun Kim, PhD et al.


Research Collaborations


Lunit AI in Medical Journals

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Breast
Chest
Oncology
  • Chest

    Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs

    Aug 31, 2021 — 2 min read

    Eui JEui Jin Hwang et al.

  • Oncology

    Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients

    Aug 30, 2021 — 3 min read

    Soo Youn Cho et al.

  • Oncology

    Abstracts : Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes predicts survival after immune checkpoint inhibitor therapy across multiple cancer types.

    Jun 8, 2021 — 3 min read

    Jeanne Shen et al.

  • Oncology

    Abstracts : Pathologic validation of artificial intelligence-powered prediction of combined positive score of PD-L1 immunohistochemistry in urothelial carcinoma.

    Jun 8, 2021 — 3 min read

    Jeong Hwan Park et al.

  • Chest

    COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

    Jun 7, 2021 — 4 min read

    Eui Jin Hwang et al.

  • Chest

    AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

    Jun 4, 2021 — 4 min read

    Hyunsuk Yoo et al.

  • Oncology

    Abstract: Artificial intelligence-powered spatial analysis of tumor infiltrating lymphocytes (TIL) to reflect target gene expressions of novel immuno-oncology agents.

    Jun 1, 2021 — 3 min read

    Chan-Young Ock et al.

  • Oncology

    Abstracts : Deep learning based radiomic biomarker for predicting the presence of high-grade histologic patterns in lung adenocarcinoma

    Apr 10, 2021 — 3 min read

    Yeonu Choi et al.