Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.15212/cvia.2025.0009
Coronary heart disease (CHD), the most common cause of mortality globally, poses a formidable challenge to modern healthcare systems. Artificial intelligence (AI) is playing an increasingly important role in multiple diagnostic applications of CHD, by facilitating early intervention and personalized treatment. This mini review describing the state of the art provides clinicians with updated insights into the transformative potential of AI to enhance CHD detection. AI can be used to increase diagnostic and prognostic accuracy. However, its reliance on homogeneous numerical data might potentially lead to misdiagnoses and unnecessary radiation exposure in diagnosing CHD. Multimodal data fusion brings new potential for accurate diagnosis and personalized medicine. Finally, unmet challenges and future research directions in ethical, regulatory, and technical aspects are discussed. This mini review is aimed at bridging the gap between AI advancements and practical applications in clinical settings, to achieve a future in which AI empowers CHD diagnosis in the context of a modern healthcare ecosystem.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.15212/cvia.2025.0009
- OA Status
- diamond
- Cited By
- 2
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408970724
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408970724Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.15212/cvia.2025.0009Digital Object Identifier
- Title
-
Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart DiseaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Mahbuba Ferdowsi, Choon‐Hian Goh, Haipeng Liu, Gary M. Tse, Jeremy Man Ho Hui, Xinhong WangList of authors in order
- Landing page
-
https://doi.org/10.15212/cvia.2025.0009Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.15212/cvia.2025.0009Direct OA link when available
- Concepts
-
Internal medicine, Coronary heart disease, Cardiology, Disease, Artificial intelligence, Medicine, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4408970724 |
|---|---|
| doi | https://doi.org/10.15212/cvia.2025.0009 |
| ids.doi | https://doi.org/10.15212/cvia.2025.0009 |
| ids.openalex | https://openalex.org/W4408970724 |
| fwci | 15.05981684 |
| type | article |
| title | Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease |
| biblio.issue | 1 |
| biblio.volume | 10 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11396 |
| topics[0].field.id | https://openalex.org/fields/36 |
| topics[0].field.display_name | Health Professions |
| topics[0].score | 0.9596999883651733 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3605 |
| topics[0].subfield.display_name | Health Information Management |
| topics[0].display_name | Artificial Intelligence in Healthcare |
| topics[1].id | https://openalex.org/T12935 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9417999982833862 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2713 |
| topics[1].subfield.display_name | Epidemiology |
| topics[1].display_name | Healthcare Systems and Public Health |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C126322002 |
| concepts[0].level | 1 |
| concepts[0].score | 0.48000162839889526 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[0].display_name | Internal medicine |
| concepts[1].id | https://openalex.org/C3018906752 |
| concepts[1].level | 2 |
| concepts[1].score | 0.45143821835517883 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q844935 |
| concepts[1].display_name | Coronary heart disease |
| concepts[2].id | https://openalex.org/C164705383 |
| concepts[2].level | 1 |
| concepts[2].score | 0.44841259717941284 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q10379 |
| concepts[2].display_name | Cardiology |
| concepts[3].id | https://openalex.org/C2779134260 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4398180842399597 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[3].display_name | Disease |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.4397290349006653 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C71924100 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4029031991958618 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[5].display_name | Medicine |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.36692994832992554 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| keywords[0].id | https://openalex.org/keywords/internal-medicine |
| keywords[0].score | 0.48000162839889526 |
| keywords[0].display_name | Internal medicine |
| keywords[1].id | https://openalex.org/keywords/coronary-heart-disease |
| keywords[1].score | 0.45143821835517883 |
| keywords[1].display_name | Coronary heart disease |
| keywords[2].id | https://openalex.org/keywords/cardiology |
| keywords[2].score | 0.44841259717941284 |
| keywords[2].display_name | Cardiology |
| keywords[3].id | https://openalex.org/keywords/disease |
| keywords[3].score | 0.4398180842399597 |
| keywords[3].display_name | Disease |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.4397290349006653 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/medicine |
| keywords[5].score | 0.4029031991958618 |
| keywords[5].display_name | Medicine |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.36692994832992554 |
| keywords[6].display_name | Computer science |
| language | en |
| locations[0].id | doi:10.15212/cvia.2025.0009 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210229582 |
| locations[0].source.issn | 2009-8618, 2009-8782 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2009-8618 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Cardiovascular Innovations and Applications |
| locations[0].source.host_organization | https://openalex.org/P4310315403 |
| locations[0].source.host_organization_name | Compuscript |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315403 |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Cardiovascular Innovations and Applications |
| locations[0].landing_page_url | https://doi.org/10.15212/cvia.2025.0009 |
| locations[1].id | pmh:oai:doaj.org/article:9a35c86e3eb94242b51891433e6f8b70 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].source.host_organization_lineage | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Cardiovascular Innovations and Applications, Vol 10, Iss 1, p 976 (2025) |
| locations[1].landing_page_url | https://doaj.org/article/9a35c86e3eb94242b51891433e6f8b70 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5083347596 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3478-4301 |
| authorships[0].author.display_name | Mahbuba Ferdowsi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mahbuba Ferdowsi |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5040233264 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8914-8524 |
| authorships[1].author.display_name | Choon‐Hian Goh |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Choon-Hian Goh |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5100606623 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-4212-2503 |
| authorships[2].author.display_name | Haipeng Liu |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Haipeng Liu |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5070948162 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-9405-9665 |
| authorships[3].author.display_name | Gary M. Tse |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Gary Tse |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5108828252 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Jeremy Man Ho Hui |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jeremy Man Ho Hui |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5100632516 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-0665-3382 |
| authorships[5].author.display_name | Xinhong Wang |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Xinhong Wang |
| authorships[5].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.15212/cvia.2025.0009 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11396 |
| primary_topic.field.id | https://openalex.org/fields/36 |
| primary_topic.field.display_name | Health Professions |
| primary_topic.score | 0.9596999883651733 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3605 |
| primary_topic.subfield.display_name | Health Information Management |
| primary_topic.display_name | Artificial Intelligence in Healthcare |
| related_works | https://openalex.org/W4387497383, https://openalex.org/W3183948672, https://openalex.org/W3173606202, https://openalex.org/W3110381201, https://openalex.org/W2948807893, https://openalex.org/W2935909890, https://openalex.org/W2899084033, https://openalex.org/W2778153218, https://openalex.org/W2758277628, https://openalex.org/W1531601525 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.15212/cvia.2025.0009 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210229582 |
| best_oa_location.source.issn | 2009-8618, 2009-8782 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2009-8618 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Cardiovascular Innovations and Applications |
| best_oa_location.source.host_organization | https://openalex.org/P4310315403 |
| best_oa_location.source.host_organization_name | Compuscript |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315403 |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Cardiovascular Innovations and Applications |
| best_oa_location.landing_page_url | https://doi.org/10.15212/cvia.2025.0009 |
| primary_location.id | doi:10.15212/cvia.2025.0009 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210229582 |
| primary_location.source.issn | 2009-8618, 2009-8782 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2009-8618 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Cardiovascular Innovations and Applications |
| primary_location.source.host_organization | https://openalex.org/P4310315403 |
| primary_location.source.host_organization_name | Compuscript |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315403 |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Cardiovascular Innovations and Applications |
| primary_location.landing_page_url | https://doi.org/10.15212/cvia.2025.0009 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W3212603395, https://openalex.org/W2953473092, https://openalex.org/W2576281034, https://openalex.org/W3091539625, https://openalex.org/W4321505884, https://openalex.org/W2771027775, https://openalex.org/W4399934531, https://openalex.org/W4387842389, https://openalex.org/W4389251642, https://openalex.org/W4399040281, https://openalex.org/W4402236457, https://openalex.org/W4309080889, https://openalex.org/W3018828627, https://openalex.org/W4362468451, https://openalex.org/W4376643618, https://openalex.org/W2896670900, https://openalex.org/W3127657277, https://openalex.org/W3199206152, https://openalex.org/W4392238077, https://openalex.org/W4384662537 |
| referenced_works_count | 20 |
| abstract_inverted_index.a | 12, 141, 153 |
| abstract_inverted_index.AI | 60, 65, 131, 145 |
| abstract_inverted_index.an | 24 |
| abstract_inverted_index.at | 126 |
| abstract_inverted_index.be | 67 |
| abstract_inverted_index.by | 34 |
| abstract_inverted_index.in | 28, 91, 113, 136, 143, 149 |
| abstract_inverted_index.is | 22, 124 |
| abstract_inverted_index.of | 8, 32, 47, 59, 152 |
| abstract_inverted_index.on | 78 |
| abstract_inverted_index.to | 15, 61, 69, 85, 139 |
| abstract_inverted_index.CHD | 63, 147 |
| abstract_inverted_index.and | 38, 72, 87, 103, 109, 116, 133 |
| abstract_inverted_index.are | 119 |
| abstract_inverted_index.art | 49 |
| abstract_inverted_index.can | 66 |
| abstract_inverted_index.for | 100 |
| abstract_inverted_index.gap | 129 |
| abstract_inverted_index.its | 76 |
| abstract_inverted_index.new | 98 |
| abstract_inverted_index.the | 4, 45, 48, 56, 128, 150 |
| abstract_inverted_index.(AI) | 21 |
| abstract_inverted_index.CHD, | 33 |
| abstract_inverted_index.CHD. | 93 |
| abstract_inverted_index.This | 41, 121 |
| abstract_inverted_index.data | 81, 95 |
| abstract_inverted_index.into | 55 |
| abstract_inverted_index.lead | 84 |
| abstract_inverted_index.mini | 42, 122 |
| abstract_inverted_index.most | 5 |
| abstract_inverted_index.role | 27 |
| abstract_inverted_index.used | 68 |
| abstract_inverted_index.with | 52 |
| abstract_inverted_index.aimed | 125 |
| abstract_inverted_index.cause | 7 |
| abstract_inverted_index.early | 36 |
| abstract_inverted_index.heart | 1 |
| abstract_inverted_index.might | 82 |
| abstract_inverted_index.poses | 11 |
| abstract_inverted_index.state | 46 |
| abstract_inverted_index.unmet | 107 |
| abstract_inverted_index.which | 144 |
| abstract_inverted_index.(CHD), | 3 |
| abstract_inverted_index.brings | 97 |
| abstract_inverted_index.common | 6 |
| abstract_inverted_index.fusion | 96 |
| abstract_inverted_index.future | 110, 142 |
| abstract_inverted_index.modern | 16, 154 |
| abstract_inverted_index.review | 43, 123 |
| abstract_inverted_index.achieve | 140 |
| abstract_inverted_index.aspects | 118 |
| abstract_inverted_index.between | 130 |
| abstract_inverted_index.context | 151 |
| abstract_inverted_index.disease | 2 |
| abstract_inverted_index.enhance | 62 |
| abstract_inverted_index.playing | 23 |
| abstract_inverted_index.updated | 53 |
| abstract_inverted_index.Coronary | 0 |
| abstract_inverted_index.Finally, | 106 |
| abstract_inverted_index.However, | 75 |
| abstract_inverted_index.accurate | 101 |
| abstract_inverted_index.bridging | 127 |
| abstract_inverted_index.clinical | 137 |
| abstract_inverted_index.empowers | 146 |
| abstract_inverted_index.ethical, | 114 |
| abstract_inverted_index.exposure | 90 |
| abstract_inverted_index.increase | 70 |
| abstract_inverted_index.insights | 54 |
| abstract_inverted_index.multiple | 29 |
| abstract_inverted_index.provides | 50 |
| abstract_inverted_index.reliance | 77 |
| abstract_inverted_index.research | 111 |
| abstract_inverted_index.systems. | 18 |
| abstract_inverted_index.accuracy. | 74 |
| abstract_inverted_index.challenge | 14 |
| abstract_inverted_index.diagnosis | 102, 148 |
| abstract_inverted_index.globally, | 10 |
| abstract_inverted_index.important | 26 |
| abstract_inverted_index.medicine. | 105 |
| abstract_inverted_index.mortality | 9 |
| abstract_inverted_index.numerical | 80 |
| abstract_inverted_index.potential | 58, 99 |
| abstract_inverted_index.practical | 134 |
| abstract_inverted_index.radiation | 89 |
| abstract_inverted_index.settings, | 138 |
| abstract_inverted_index.technical | 117 |
| abstract_inverted_index.Artificial | 19 |
| abstract_inverted_index.Multimodal | 94 |
| abstract_inverted_index.challenges | 108 |
| abstract_inverted_index.clinicians | 51 |
| abstract_inverted_index.describing | 44 |
| abstract_inverted_index.detection. | 64 |
| abstract_inverted_index.diagnosing | 92 |
| abstract_inverted_index.diagnostic | 30, 71 |
| abstract_inverted_index.directions | 112 |
| abstract_inverted_index.discussed. | 120 |
| abstract_inverted_index.ecosystem. | 156 |
| abstract_inverted_index.formidable | 13 |
| abstract_inverted_index.healthcare | 17, 155 |
| abstract_inverted_index.prognostic | 73 |
| abstract_inverted_index.treatment. | 40 |
| abstract_inverted_index.homogeneous | 79 |
| abstract_inverted_index.potentially | 83 |
| abstract_inverted_index.regulatory, | 115 |
| abstract_inverted_index.unnecessary | 88 |
| abstract_inverted_index.advancements | 132 |
| abstract_inverted_index.applications | 31, 135 |
| abstract_inverted_index.facilitating | 35 |
| abstract_inverted_index.increasingly | 25 |
| abstract_inverted_index.intelligence | 20 |
| abstract_inverted_index.intervention | 37 |
| abstract_inverted_index.misdiagnoses | 86 |
| abstract_inverted_index.personalized | 39, 104 |
| abstract_inverted_index.transformative | 57 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.9643002 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |