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Artificial Intelligence in Medicine : 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9–12, 2024, Proceedings, Part II (Lecture Notes in Computer Science)

By: Enea Parimbelli (Edited by) , Joseph Finkelstein (Edited by) , Robert Moskovitch (Edited by)

Extended Catalogue

Ksh 13,700.00

Format: Paperback or Softback

ISBN-10: 3031665341

ISBN-13: 9783031665349

Collection / Series: Lecture Notes in Computer Science

Collection Type: Publisher collection

Edition statement: 2024 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 27th, 2024

Publication Status: Active

Product extent: 366 Pages

Product Classification / Subject(s): Educational equipment & technology, computer-aided learning (CAL)
Telemedicine
Public health & preventive medicine
Information technology: general issues
Network hardware

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This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections:Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.

This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024.

The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions.

The papers are grouped in the following topical sections:

Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics.

Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.

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