Artificial Intelligence in Healthcare focuses on the development and application of intelligent algorithms to enhance clinical decision-making, diagnosis, and treatment. AI enables automated image interpretation, early disease detection, personalized treatment planning, and efficient patient monitoring. Through machine learning and deep learning models, healthcare systems can analyze large datasets, predict patient outcomes, and optimize hospital workflows. AI supports virtual assistants, robotic surgeries, and digital therapeutics, improving accuracy and reducing human error. It also enhances telemedicine by enabling remote diagnostics and continuous health tracking. With growing adoption, AI is transforming medical research, operational efficiency, and patient care across global healthcare settings.
| 2-5 Days | Initial Quality & Plagiarism Check |
| 25-35 Days |
Peer Review Feedback |
| 45-60 Days | Total article processing time |
| 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.