open access

Journal of Artificial Intelligence and Digital Health

P e e r - R e v i e w e d  
Bi-Annual (Two issues per year)

ISSN: 3139-6267 (Online)
DOI Prefix (Crossref): 10.67238

Medical Imaging and Diagnostics

Medical Imaging & Diagnostics focuses on using AI and advanced algorithms to interpret medical images with greater speed, accuracy, and consistency. AI-enhanced systems assist in detecting abnormalities in X-rays, CT scans, MRIs, ultrasounds, and PET images. These technologies help identify early signs of cancer, cardiovascular diseases, neurological disorders, and other critical conditions. Automated image segmentation and pattern recognition improve diagnostic precision and reduce human error. AI also supports radiologists by prioritizing urgent cases and generating preliminary reports. With continuous learning from large imaging datasets, intelligent diagnostic tools are transforming clinical workflows and enabling faster, more reliable medical decision-making.

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English Publication Language
Single-Blind Peer-Review Model
17% Acceptance Rate
<18% Similarity Screening Guideline
Open Access Access Model

All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.

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    • Journal Highlights

    Artificial Intelligence in Healthcare Machine Learning and Deep Learning Medical Imaging and Diagnostics Predictive Analytics Digital Health Technologies Telemedicine and mHealth Wearable Devices and Remote Monitoring Health Informatics and EHR Big Data in Medicine Robotics and Automation AI in Drug Discovery Healthcare Cybersecurity Smart Hospital Systems Clinical Decision Support Systems Natural Language Processing

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