Applications of Artificial Intelligence in Healthcare, Biomedicine and Medical Informatics
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 130
Special Issue Editors
Interests: self-supervised learning; responsible AI; generative AI; deep learning; AI in healthcare; machine learning
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Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is rapidly transforming healthcare and biomedicine, offering unprecedented solutions to long-standing challenges. This includes accelerating drug discovery by identifying potential compounds, enhancing medical imaging for more precise diagnostics, and enabling personalized medicine through tailored treatments based on individual data. AI also improves medical robotics for diagnoses, automates routine tasks for clinicians, facilitates biomarker identification, and optimizes hospital operations. Despite these advances, significant hurdles remain, such as reliance on limited, biased, and unlabeled datasets, critical privacy concerns leading to the creation of data silos, and the “black box” nature of many AI models hindering explainability and trust in clinical decision-making. Furthermore, evolving regulatory frameworks and issues of accountability and liability in AI applications require careful consideration. This Special Issue invites research addressing these complex issues (including AI applications) through theoretical advancements and practical implementations in areas focusing on, but not limited to, medical imaging, video medical analysis, robotics in biomedicine, non-invasive treatment, explainability of AI diagnoses, diverse AI algorithms in healthcare, AI-assisted drug discovery, life science research, data privacy, privacy-preserving data processing, and federated machine learning for healthcare.
Dr. Himanshu Buckchash
Dr. Deepak Dhungana
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence in healthcare
- biomedical engineering applications
- medical informatics
- deep learning for diagnostics
- medical image analysis
- explainable AI
- drug discovery
- personalized medicine
- hospital management and patient engagement
- telemedicine and wearable technology
- data privacy in healthcare
- federated learning in healthcare and biomedicine
- unlabeled medical data challenges
- algorithmic bias in medical data
- clinical decision support
- medical robotics
- remote patient monitoring
- biomedical signal processing
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