Limited Offer
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine
- 1st Edition, Volume 43-1 - February 10, 2023
- Editor: Jason Baron
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 3 9 8 3 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 3 9 8 4 - 3
In this issue, guest editors bring their considerable expertise to this important… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteIn 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
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Forthcoming Issues
- Preface
- Artificial Intelligence in the Clinical Laboratory: An Overview with Frequently Asked Questions
- Key points
- Introduction
- Discussion
- Disclosure
- Electronic Health Record Optimization for Artificial Intelligence
- Key points
- Introduction
- Laboratory result identification
- Laboratory interpretive comments
- Laboratory names for electronic health record–based clinical decision support
- Interhospital standardization
- Molecular results
- Anatomic pathology reporting
- Fast health care interoperability resources and open clinical decision support
- Data imputation
- Diagnosis coding
- Data provenance
- Mapping and monitoring
- Summary
- Clinical Artificial Intelligence: Design Principles and Fallacies
- Key points
- Introduction
- Clinical machine learning and artificial intelligence
- Clinical artificial intelligence fallacies
- Summary
- Clinics care points
- Artificial Intelligence Applications in Clinical Chemistry
- Key points
- Introduction
- Preanalytic
- Postanalytic
- Future and ethical considerations
- Summary
- Disclosure
- Digital Health: Today’s Solutions and Tomorrow’s Impact
- Key points
- Introduction to artificial intelligence for digital health solutions
- Value of AI in laboratory medicine
- Industry developed versus homegrown by a health care system
- Speed of development
- Evidence generation for digital health solutions
- Types of digital health solutions: provider-focused versus patient-focused
- The future
- Summary
- Disclosure
- Clinics care points
- Opportunities and Challenges with Artificial Intelligence in Genomics
- Key points
- Background
- Variants of uncertain significance
- Polygenic risk scores
- Genetic ancestry and relatedness
- Cancer
- Outstanding issues
- Historical inequities
- Privacy
- Explainability
- Summary
- Disclosure
- Using Artificial Intelligence to Better Predict and Develop Biomarkers
- Key points
- Introduction
- Background
- The omics multiverse
- Approaches in proteomics for identification of biomarkers
- Statistical analysis of omics data
- Methodologic considerations
- Examples of studies
- Summary
- Clinics care points
- Laboratory Aspects of Minimal / Measurable Residual Disease Testing in B-Lymphoblastic Leukemia
- Key points
- Introduction
- Clinical minimal residual disease testing
- Clinics care points
- Artificial Intelligence in the Genetic Diagnosis of Rare Disease
- Key points
- Introduction
- Significance
- Discussion/summary
- No. of pages: 240
- Language: English
- Edition: 1
- Volume: 43-1
- Published: February 10, 2023
- Imprint: Elsevier
- Hardback ISBN: 9780323939836
- eBook ISBN: 9780323939843
JB
Jason Baron
Affiliations and expertise
Massachusetts General Hospital, Assistant Prof of Pathology, Part Time, Harvard Medical School