Artificial Intelligence Models for detecting Heart Failures inpatients

In the field of healthcare the use of AI in diagnosing heart failure and supportingthe treatment plans for patients has been highlighted to be very useful. Hence, based onthe literature, this paper seeks to examine how AI has been relevant in this area and alsothe challenges and new breakthroughs that were made when implementing it. Guided bythe explanation of the newest tendencies and trends worth noting in this sphere, this paperaims to explain the efficiency of AI models of heart failures and the impact of the enhancedidentification of such failures to improve the methods of treatment and the outcomes forthe patients. Thus, the paper further contributes to the already existing body of literatureavailable on the application of AI in the field of cardiology and the likely shift that theapplication of this technology might bring in the way diagnostic strategies are approached.

Authors

Publication Details

Journal
Doupe Journal of Top Trending Technologies
Published
2024-12-23
DOI
https://doi.org/10.71063/djttt.2025.1102
Citations
9
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
6.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Models for detecting Heart Failures inpatients

Timilehin Olasoji Olubiyi
9 citations
Doupe Journal of Top Trending Technologies
Artificial Intelligence in Healthcare
6.37
article

Artificial Intelligence Models for detecting Heart Failures inpatients

Timilehin Olasoji Olubiyi
article en
9 citations

Abstract

In the field of healthcare the use of AI in diagnosing heart failure and supportingthe treatment plans for patients has been highlighted to be very useful. Hence, based onthe literature, this paper seeks to examine how AI has been relevant in this area and alsothe challenges and new breakthroughs that were made when implementing it. Guided bythe explanation of the newest tendencies and trends worth noting in this sphere, this paperaims to explain the efficiency of AI models of heart failures and the impact of the enhancedidentification of such failures to improve the methods of treatment and the outcomes forthe patients. Thus, the paper further contributes to the already existing body of literatureavailable on the application of AI in the field of cardiology and the likely shift that theapplication of this technology might bring in the way diagnostic strategies are approached.

Doupe Journal of Top Trending TechnologiesVol. 01(01)
Good health and well-being
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare
6.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence Models for detecting Heart Failures inpatients — Timilehin Olasoji Olubiyi · Doupe Journal of Top Trending Technologies (2024) | TGRS Research Map | TGRS