Artificial Intelligence Innovations for Biomedical Engineering and Healthcare
Capture the future of medicine with Artificial Intelligence Innovations for Biomedical Engineering and Healthcare, a cutting-edge guide by Alma Y Alanis, Eduardo Mendez-Palos, Oscar D. Sanchez, and Rosa del Sagrario Garcia Magaña. This essential work bridges theory and practice, showing how AI is transforming diagnostics, medical imaging, wearable devices, and clinical decision support systems across hospitals, research labs, and public-health programs worldwide.
Explore accessible, real-world explanations of machine learning, deep learning, signal processing, and predictive analytics tailored to biomedical engineering and healthcare professionals. Case studies and applied examples demonstrate how AI improves patient outcomes, reduces costs, and accelerates biomedical research—from personalized medicine in North America and Europe to scalable health solutions for Latin America, Asia, and low-resource settings.
Authors with multidisciplinary expertise present practical workflows, ethical considerations, regulatory perspectives, and implementation strategies for engineers, clinicians, data scientists, and healthcare administrators. Whether you’re developing sensor-based diagnostics, optimizing imaging pipelines, or deploying population-level predictive models, this book equips you with the methodologies and best practices to lead innovation responsibly and effectively.
Readable yet rigorous, this title is ideal for graduate students, biomedical engineers, clinical researchers, and decision-makers seeking actionable insights into AI-driven healthcare transformation. Reinforce your professional toolkit and stay competitive in a rapidly changing field.
Order your copy of Artificial Intelligence Innovations for Biomedical Engineering and Healthcare today and begin applying AI solutions that deliver measurable impact to patients and systems around the globe.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


