Publish a Book Chapter in "Machine Learning and Deep Learning Techniques for Medical Science: Trends, Applications, and Future Directions (Volume - 2)"

Machine Learning and Deep Learning Techniques for Medical Science: Trends, Applications, and Future Directions (Volume-2) is an edited academic book that focuses on the application of artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques in medical science. The book covers fundamentals of AI, healthcare machine learning algorithms, deep learning in medical imaging, AI-powered diagnostic tools, AI-based disease diagnosis, AI in drug discovery, healthcare automation and robotics, wearable health technologies, ethical challenges of AI in medicine, recent developments, and future directions of AI-driven healthcare.

This book is intended for researchers, academicians, postgraduate and doctoral scholars, clinicians, data scientists, and professionals interested in applying machine learning and deep learning techniques in medical science, clinical diagnostics, medical imaging, healthcare automation, and AI-driven medical research.

Authors should prepare their chapter manuscripts according to the guidelines provided on the book’s page and submit them via email to akinikbooks@gmail.com. Authors are also required to download, complete, and submit the authorship responsibility and copyright form available on the page along with their manuscript.

Yes, all submitted chapters undergo a double-blind peer review process to ensure academic quality and research integrity. After acceptance and publication, the book will be assigned ISBN and DOI numbers and indexed in major academic databases including Crossref, Bowker, R-Access, Dimensions, and Google Play Books.

The deadline for chapter submissions is 28 Feb 2026. Authors are advised to submit their manuscripts before this date for consideration and review.