Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine

by Jason Baron MD, DABP (Editor)

Overview

In this issue, guest editors bring their considerable expertise to this important topic.

Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize

Product Details

ISBN-13:	9780323939836
Publisher:	Elsevier Health Sciences
Publication date:	02/21/2023
Series:	The Clinics: Internal Medicine , #43
Pages:	240
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

Artificial Intelligence in the Clinical Laboratory: An Overview with Frequently Asked Questions
Electronic Health Record Optimization for Artificial Intelligence
Clinical Artificial Intelligence: Design Principles and Fallacies
Artificial Intelligence Applications in Clinical Chemistry
Digital Health: Today’s Solutions and Tomorrow’s Impact
Opportunities and Challenges with Artificial Intelligence in Genomics
Using Artificial Intelligence to Better Predict and Develop Biomarkers
Laboratory Aspects of Minimal / Measurable Residual Disease Testing in B-Lymphoblastic Leukemia
Artificial Intelligence in the Genetic Diagnosis of Rare Disease

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From the Publisher

Timely, relevant discussions on the latest research in the field