From Conventional Deep Learning to GPT: AI's Emergent Power for Cardiac Imaging

Partho P. Sengupta; Y. Chandrashekhar

doi:10.1016/j.jcmg.2023.07.001

From Conventional Deep Learning to GPT: AI's Emergent Power for Cardiac Imaging

Partho P. Sengupta, Y. Chandrashekhar

Robert Wood Johnson Medical School (RWJMS), Medicine, Division of Cardiology

Research output: Contribution to journal › Editorial › peer-review

5 Scopus citations

Original language	English (US)
Pages (from-to)	1129-1131
Number of pages	3
Journal	JACC: Cardiovascular Imaging
Volume	16
Issue number	8
DOIs	https://doi.org/10.1016/j.jcmg.2023.07.001
State	Published - Aug 2023

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging
Cardiology and Cardiovascular Medicine

Access to Document

10.1016/j.jcmg.2023.07.001

Cite this

@article{8bb55c28db254e6ca0e117bb7aad9e41,

title = "From Conventional Deep Learning to GPT: AI's Emergent Power for Cardiac Imaging",

author = "Sengupta, {Partho P.} and Y. Chandrashekhar",

year = "2023",

month = aug,

doi = "10.1016/j.jcmg.2023.07.001",

language = "English (US)",

volume = "16",

pages = "1129--1131",

journal = "JACC: Cardiovascular Imaging",

issn = "1936-878X",

publisher = "Elsevier Inc.",

number = "8",

}

TY - JOUR

T1 - From Conventional Deep Learning to GPT

T2 - AI's Emergent Power for Cardiac Imaging

AU - Sengupta, Partho P.

AU - Chandrashekhar, Y.

PY - 2023/8

Y1 - 2023/8

UR - http://www.scopus.com/inward/record.url?scp=85166525530&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85166525530&partnerID=8YFLogxK

U2 - 10.1016/j.jcmg.2023.07.001

DO - 10.1016/j.jcmg.2023.07.001

M3 - Editorial

C2 - 37558359

AN - SCOPUS:85166525530

SN - 1936-878X

VL - 16

SP - 1129

EP - 1131

JO - JACC: Cardiovascular Imaging

JF - JACC: Cardiovascular Imaging

IS - 8

ER -

From Conventional Deep Learning to GPT: AI's Emergent Power for Cardiac Imaging

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this