Privacy-preserving collaborative deep learning methods for multiinstitutional training without sharing patient data

Ken Chang, Praveer Singh, Praneeth Vepakomma, Maarten G. Poirot, Ramesh Raskar, Jayashree Kalpathy-Cramer

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

Abstract

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.
Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publicationTechnical Basis and Clinical Applications
PublisherElsevier
Chapter6
Pages101-112
Number of pages11
Volume1
ISBN (Electronic)9780128212585
ISBN (Print)9780128212592
DOIs
Publication statusPublished - 3 Sept 2020
Externally publishedYes

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