Evidence map›Paper›PMID 41776010›Full record

ReviewNPJ cardiovascular health2024

Digital health innovation and artificial intelligence in cardiovascular care: a case-based review.

Jelani K Grant, Aamir Javaid, Richard T Carrick, Margaret Koester, Ali Asghar Kassamali, Chang H Kim, Nino Isakadze, Katherine C Wu, Michael J Blaha, Seamus P Whelton and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NPJ cardiovascular health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jelani K Grant *Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Aamir Javaid *Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Richard T CarrickDepartment of Medicine, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, USA.
Margaret KoesterDepartment of Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Ali Asghar KassamaliJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Chang H KimJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Nino IsakadzeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Katherine C WuDepartment of Medicine, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Armin Arbab-ZadehDepartment of Medicine, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD, USA.
Carl OrringerNaples Comprehensive Health System Rooney Heart Institute, Naples, FL, USA.
Roger S BlumenthalJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Seth S MartinJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Francoise A MarvelJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA. fmarvel1@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review aims to equip clinicians with an understanding of how digital health innovations and artificial intelligence can be applied to clinical care pathways for cardiovascular prevention. We describe a case that highlights augmentative AI for the incidental detection of coronary artery calcium, a mobile application to improve patient adherence/engagement, large language models to enhance longitudinal patient communication and care, and limitations and strategies for the successful adoption of these technologies.

Identifiers

PMID41776010
PMCPMC12912336

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.