Machine and Deep Learning in the Health Domain (3rd Edition)
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 5
Special Issue Editor
Interests: machine learning; deep learning; informatics; medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There has been a revolution in the application of machine learning and deep learning within healthcare, with interest in this area increasing exponentially at both medical society meetings and computer science conferences. Unlike prior attempts at medical AI and computer-aided diagnosis, these algorithms do not rely on predetermined features and can discern patterns in the data impossible for an individual to detect.
The healthcare domain provides rich data for these algorithms, including clinical notes, vital signs, laboratory values, genomic data, pathology, radiological images, and medical sensors, just to name a few. In addition, multi-modal and omics data may be applied to solve clinical problems. These data can be used for diagnosing diseases, prognosticating clinical outcomes, determining responses to therapy, patient monitoring, and drug and device development. In addition, these technologies provide researchers with the opportunity to enhance their understanding of disease pathogenesis, leveraging large volumes of data and advanced machine learning techniques.
These developments allow for new medical frontiers. These include learning healthcare systems that improve with time as they incorporate increasing volumes of multimodal data from diverse patient populations. They also enable personalized medicine, tailoring healthcare to individual patients. Meanwhile, it is crucial that these algorithms remain robust to perturbations in the input data while remaining trustworthy, ethical, and free of bias. These techniques need to generalize well to heterogeneous patient populations, while maintaining and ultimately improving their performance compared to the populations in which they were developed. This third edition of the Special Issue welcomes both original research articles and review articles that investigate the state of the art in machine learning and deep learning applied to healthcare.
Dr. Hersh Sagreiya Sagreiya
Guest Editor
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Keywords
- machine learning
- deep learning
- medicine
- health
- disease diagnosis
- disease prognostication
- treatment effectiveness
- electronic medical records
- medical informatics
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Related Special Issues
- Machine and Deep Learning in the Health Domain in Computers (12 articles)
- Machine and Deep Learning in the Health Domain 2024 in Computers (10 articles)
