東北大学大学院医学系研究科・医学部

STAFF

Professor

• Yamamoto, YoichiroProfessor, M.D., Ph.D. 山本 陽一朗 教授
  

CONTACT

OUTLINE

We aim to create new knowledge and apply it to medicine, to advance next-generation medicine, by leveraging multidimensional medical data through approaches that integrate artificial intelligence, mathematics and medical science. Our research focuses on understanding previously unknown disease mechanisms, discovering new therapeutic methods, developing systems to select the most suitable treatment for each individual patient, and building new concepts of artificial intelligence in the medical field.

多次元医療データに対して、AI・数理・医科学を横断する解析によって、新たな知の創出と応用を目指しています。未だ明らかになっていない疾患メカニズムの解明や、新規治療法の発見、患者さん毎に最適な治療方法を選択するシステムの構築、また医療分野のAIにおける新たなコンセプト構築を目指しています。

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  Pathological profiling visualized on three-dimensional biopsy tissue
  3次元病理生検組織上に可視化した病理プロファイル

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  Gene expression with spatial information in tissue sections
  組織切片における遺伝子発現の空間情報

ARTICLE

Akatsuka J, et.al. Clinically informed intermediate reasoning enables generalizable prostate cancer prognostication through machine learning in limited settings. npj Digital Medicine, 9: 19, 2026.
URL：https://www.nature.com/articles/s41746-025-02193-x

Noguchi A, et.al. Deep learning predicts 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. Scientific Reports 14:17059, 2024.
URL：https://www.nature.com/articles/s41598-024-67757-5

Yamamoto Y, et.al. Automated acquisition of explainable knowledge from unannotated histopathology images. Nature Communications 10(1):5642-5642, 2019.
URL：https://www.nature.com/articles/s41467-019-13647-8

Yamamoto Y, et.al. Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach. Scientific Reports 7:46732, 2017.
URL：https://www.nature.com/articles/srep46732

Yamamoto Y, et.al. Tumour and immune cell dynamics explain the PSA bounce after prostate cancer brachytherapy. British Journal of Cancer 115(2):195-202, 2016.
URL：https://www.nature.com/articles/bjc2016171

LINK

• がんAI予測の「二重の壁」を超える －施設差や検体差に左右されない医療の実現へ－