Journal of Artificial Intelligence and Digital Health
Machine Learning and Deep Learning
Machine Learning & Deep Learning in healthcare involve advanced computational models that learn from medical data to identify patterns, make predictions, and support clinical decisions. Machine learning algorithms assist in risk assessment, disease classification, and outcome forecasting. Deep learning, particularly neural networks, enables high-accuracy analysis of medical images, signals, and complex patient records. These technologies help automate diagnostics, detect rare conditions, and personalize treatment recommendations. They enhance drug discovery, genomics research, and real-time monitoring systems. By processing vast datasets with speed and precision, ML and DL are reshaping modern healthcare with more accurate, faster, and data-driven solutions.
Article Processing Timeline
| 2-5 Days | Initial Quality & Plagiarism Check |
| 15 Days |
Peer Review Feedback |
| 85% | Acceptance Rate (after peer review) |
| 30-45 Days | Total article processing time |
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