Academic Journal
Q2Artificial Intelligence in Health
About Artificial Intelligence in Health
Artificial Intelligence in Health is a scholarly journal published by AccScience Publishing. SCImago 2025 lists it in Q2, with an SJR of 0.251 and H-index of 5.
Coverage: 2024-2026. Research categories: Health Professions (miscellaneous) (Q2); Artificial Intelligence (Q3); Health Information Management (Q4).
Source-backed journal facts
Topics in published research
Artificial Intelligence in Healthcare and Education; Machine Learning in Healthcare; Artificial Intelligence in Healthcare; AI in cancer detection; COVID-19 diagnosis using AI; Radiomics and Machine Learning in Medical Imaging.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Machine learning risk stratification for major adverse cardiovascular events after acute myocardial infarction in patients receiving early empagliflozin therapy
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2026-09-30 · DOI: 10.36922/aih026350130Age-invariant functional retinal biomarkers for Alzheimer’s disease using adversarial deep learning
Narayana D. Reddy, Mallikarjun C. Sarsamba
2026-09-28 · DOI: 10.36922/aih026320107Uncertainty estimation of breast cancer classification using deep learning methods with explainable artificial intelligence
Arthi Rengaraj Rengaraj, Manoj Kumar Devendran, Mahesh Kumar Nadesan, Praveenkumar Babu et al.
2026-09-21 · DOI: 10.36922/aih026280083Artificial intelligence in radiation dose optimization research: A bibliometric mapping
Norhayati Mohd Zain, Wan Azani Mustafa, Nur Anis Izzati Che Mut, Muhammad Syamsul Mohamed Zuki et al.
2026-09-17 · DOI: 10.36922/aih026250064Multimodal data-driven intelligent diagnosis in traditional Chinese medicine: Current status and future perspectives
Jiaqi Sun, Zheng Yu, Junhong Gao
2026-09-15 · DOI: 10.36922/aih026130032Perceived barriers to artificial intelligence integration among Moroccan public health care professionals: A cross-sectional study
Mohamed Khalyfa, Mounia Amane, Mohammed Echchakery
2026-09-14 · DOI: 10.36922/aih026290095Ontology-aware knowledge graph retrieval-augmented generation for clinical decision support
Deepak Panneerselvam, Sasikala E
2026-09-10 · DOI: 10.36922/aih026210049Few-shot personalized postprandial glucose prediction with model-agnostic neighbor fusion
Fatma Indriani, Irwan Budiman, Dwi Kartini, Radityo Adi Nugroho et al.
2026-09-09 · DOI: 10.36922/aih026270074Retraction: Artificial intelligence within medical diagnostics: A multi-disease perspective
Zarif Bin Akhtar
2026-09-08 · DOI: 10.36922/aih.corr090826Improving mpox identification under imbalanced data using geometric transformation and color augmentation with graph neural networks
Mohammad Reza Faisal, Luu Duc Ngo, Radityo Adi Nugroho, Fatma Indriani et al.
2026-09-08 · DOI: 10.36922/aih026270075Automated multi-class wound assessment using dedicated instance segmentation models for boundary detection and classification
Mehedi Hasan Tusar, Fateme Fayyazbakhsh, Igor Melnychuk, Ming C. Leu et al.
2026-09-07 · DOI: 10.36922/aih026250065Adaptive Attention and Pyramid Pooling for High-Performance Dysarthric Speech Recognition
Zahraa Tarek, Tarek Abd El-Hafeez El-Hafeez, Esraa Hassan, Ahmed Fahim et al.
2026-09-04 · DOI: 10.36922/aih026280086An explainable artificial intelligence model for an intelligent clinical support system in cardiovascular disease diagnosis
Hayder M. A. Ghanimi, Yogitha Krishnamoorthy, Manikandan Chinnasamy, Vidya Sagar Ponnam et al.
2026-08-27 · DOI: 10.36922/aih026270077An explainable deep learning-based computational framework for stroke prediction using multimodal radiomics features: A retrospective machine learning study
Hayder M. A. Ghanimi, Dharani Kumar Sunkara Venkata, Venu Karunanithi, Vidya Sagar Ponnam et al.
2026-08-27 · DOI: 10.36922/aih026270078DualPath-CRC: Adaptive Swin Transformer blocks and Attention-Augmented InceptionNeXt for classification of colorectal cancer histopathology
Uddagiri Sirisha, Appalaraju Grandhi, Panguluri Padmavathi, Jyothi Desireddy et al.
2026-08-18 · DOI: 10.36922/aih026260072An intelligent patient bed architecture based on fuzzy cognitive maps, multimodal Internet of Things sensing, and machine learning
Long Mei, Chee Siong Teh, Xing Wang, Zhidong Fang et al.
2026-08-04 · DOI: 10.36922/aih026240060Caring labor performance and employment barriers among parents of children with autism spectrum disorder: An organizational behavior and bioethics perspective, with conceptual reflections on AI-informed neuroleadership
Dimitrios Dimitriou, Litsa Lagakou, Maria Sartzetaki, Pegky Dimitriou et al.
2026-08-03 · DOI: 10.36922/aih026240059Integrating nutritional deficiency prediction with semantic recipe intelligence: A machine learning approach
Lokesha Weerasinghe, Methusala Perera, Shahmi Mohamed, Dhivakaran Muraleswaran et al.
2026-07-30 · DOI: 10.36922/aih026230057State-of-the-art review: Commercial artificial intelligence applications in cardiopulmonary imaging—from coronary fractional flow reserve to pulmonary embolism triage
Shun Dai, Jingyu Zhong, Zhengguang Xiao
2026-07-28 · DOI: 10.36922/aih026200044A multimodal image-based automated method for macular hole boundary detection
Qingxin Yuan, Rong Tan, Jianxin Shen, Fen Zhou et al.
2026-07-23 · DOI: 10.36922/aih026220053Reviews
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October 2, 2026 at 10:15 pm
October 2, 2026