Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study - Top-Institutions - MDSpire

Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study

  • By

  • Satoru Takahashi

  • Sei Komatsu

  • Chikao Yutani

  • Hiroyuki Nishi

  • Yoshiharu Higuchi

  • Nobuzo Iwa

  • Tomoki Ohara

  • Mitsuhiko Takewa

  • Kazuhisa Kodama

  • May 7, 2026

  • 0 min

Share

Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Osaka Gyoumeikan Hospital
    Osaka Gyoumeikan Hospital

    Osaka, Osaka

    Key Differentiators

    • Cardiology

  • #2

    Centro Cardiologico Monzino
    Centro Cardiologico Monzino

    Milan, Lombardy

    Key Differentiators

    • Cardiology

  • #3

    Framingham Heart Study
    Framingham Heart Study

    Framingham, Massachusetts

    Key Differentiators

    • Cardiology

  • #4

    La Timone Hospital
    La Timone Hospital

    Marseille, Provence-Alpes-Côte d'Azur

    Key Differentiators

    • Cardiology

  • #5

    Dijon University Hospital
    Dijon University Hospital

    Dijon, Bourgogne-Franche-Comté

    Key Differentiators

    • Cardiology

Original Source(s)

Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study

  • by Satoru Takahashi, Sei Komatsu, Chikao Yutani, Hiroyuki Nishi, Yoshiharu Higuchi, Nobuzo Iwa, Tomoki Ohara, Mitsuhiko Takewa, Kazuhisa Kodama

  • May 7, 2026

Related Content

CTS Surgery Biopsies May Identify Early ATTR-CM

Biopsy-guided screening in older patients with idiopathic carpal tunnel syndrome detected mostly early-stage, often asymptomatic disease

Gonococcal Endocarditis Diagnosed by PCR

Case highlights diagnostic challenges when blood cultures are negative and embolic complications are present

Decoding Idiopathic Intracranial Hypertension

Marc Bouffard discusses Mass General Brigham’s recently launched initiative aimed at better understanding idiopathic intracranial hypertension