Back
Top 6%
17.1%
Top 4%
10.6%
Top 1%
8.7%
Top 0.6%
6.2%
Top 74%
6.2%
#1
5.7%
Top 3%
4.8%
Top 1%
4.8%
Top 0.7%
4.8%
Top 4%
4.8%
Top 2%
3.7%
Top 4%
2.7%
Top 5%
1.9%
Top 4%
1.5%
Top 55%
1.5%
Top 31%
1.5%
Top 14%
1.3%
Top 5%
0.7%
Top 14%
0.7%
Top 24%
0.7%
Top 20%
0.7%
Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study
2024-01-23
cardiovascular medicine
Title + abstract only
View on medRxiv
Show abstract
Conventional echocardiographic parameters of right ventricular (RV) function are heavily afterload-dependent. Therefore, the incorporation of the RV pressure curve may enable the formulation of new parameters that reflect intrinsic RV function more accurately. Accordingly, we sought to develop an artificial intelligence-based method that can reconstruct the RV pressure curve based on the peak RV pressure. We invasively acquired RV pressure in 29 heart failure patients before and after the impla...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
Journal of the American Heart Association
92 training papers
3
Frontiers in Cardiovascular Medicine
33 training papers
4
Heart Rhythm
16 training papers
5
PLOS ONE
1737 training papers
6
Frontiers in Physiology
18 training papers
7
Journal of Clinical Medicine
77 training papers
8
Computers in Biology and Medicine
39 training papers
9
European Heart Journal - Digital Health
15 training papers
10
Circulation
37 training papers
11
The American Journal of Cardiology
15 training papers
12
Open Heart
18 training papers
13
Circulation: Genomic and Precision Medicine
30 training papers
14
Hypertension
20 training papers
15
BMJ Open
553 training papers
16
eLife
262 training papers
17
npj Digital Medicine
85 training papers
18
Atherosclerosis
16 training papers
19
Frontiers in Neurology
74 training papers
20
Cureus
64 training papers
21
PLOS Digital Health
88 training papers