3D Printing Applications in Cardiovascular Medicine addresses the rapidly growing field of additive fabrication within the medical field, in particular, focusing on cardiovascular medicine. To date, 3D printing of hearts and vascular systems has been largely reserved to anatomic reconstruction with no additional functionalities. However, 3D printing allows for functional, physiologic and bio-engineering of products to enhance diagnosis and treatment of cardiovascular disease. This book contains the state-of-the-art technologies and studies that demonstrate the utility of 3D printing for these purposes.

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI.

The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine.

This book is  ideal for cardiovascular imagers of all backgrounds as well as proceduralists (surgeons and interventional cardiologists) performing TAVR. This text is also of value for the physicians and nurses involved in the care of these patients, and for fellows-in-training. This practical text brings together guidance on using multi-modality imaging in one book and highlights its usage with a focus on patient care. Pre-procedural, Intra-procedural and Long-term follow up), this review offers expert opinion and evidence-based guidance on how to incorporate the various imaging modalities at each step in the care of a TAVR patient. Although much has been learned in the short span of time since TAVR was introduced into the field, our book will also offer recommendations for clinically-relevant research areas that will lead to best practice strategies for incorporating multi-modality imaging into TAVR patient care.                           

3D Printing Applications in Cardiovascular Medicine addresses the rapidly growing field of additive fabrication within the medical field, in particular, focusing on cardiovascular medicine. To date, 3D printing of hearts and vascular systems has been largely reserved to anatomic reconstruction with no additional functionalities. However, 3D printing allows for functional, physiologic and bio-engineering of products to enhance diagnosis and treatment of cardiovascular disease. This book contains the state-of-the-art technologies and studies that demonstrate the utility of 3D printing for these purposes.

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI.

The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine.

This book is  ideal for cardiovascular imagers of all backgrounds as well as proceduralists (surgeons and interventional cardiologists) performing TAVR. This text is also of value for the physicians and nurses involved in the care of these patients, and for fellows-in-training. This practical text brings together guidance on using multi-modality imaging in one book and highlights its usage with a focus on patient care. Pre-procedural, Intra-procedural and Long-term follow up), this review offers expert opinion and evidence-based guidance on how to incorporate the various imaging modalities at each step in the care of a TAVR patient. Although much has been learned in the short span of time since TAVR was introduced into the field, our book will also offer recommendations for clinically-relevant research areas that will lead to best practice strategies for incorporating multi-modality imaging into TAVR patient care.