Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine
Author:   Jason Baron, MD, DABP (Massachusetts General Hospital, Assistant Prof of Pathology, Part Time, Harvard Medical School)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780323939836


Pages:   240
Publication Date:   21 February 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine


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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

Full Product Details

Author:   Jason Baron, MD, DABP (Massachusetts General Hospital, Assistant Prof of Pathology, Part Time, Harvard Medical School)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.410kg
ISBN:  

9780323939836


ISBN 10:   032393983
Pages:   240
Publication Date:   21 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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