Artificial Intelligence for Improved Patient Outcomes Principles for Moving Forward with Rigorous Science
"Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to...
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Format: | Book |
Language: | English |
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Philadelphia
Wolters Kluwer
2024
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Online Access: | Click Here to View Status and Holdings. |
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Table of Contents:
- Overview : How Artificial Intelligence Will Improve Health
- Randomization : The "Secret Sauce"
- Evaluation : The Facts Matter. Pseudo-Innovation vs Real Innovation
- Synergy : Building a Successful Clinician-Computer Collaboration
- Fairness : Addressing the Ethical, Regulatory, and Privacy Issues
- Modeling : An Overview of Predictive Modeling, Neural Networks, and Deep Learning
- EHRs : Exporting, Cleaning, Managing Datasets, and Integrating Models into the Electronic Health Record
- Resistance : Understanding and Overcoming the Resistance to AI, Randomization, and Change
- Execution : Increasing the Odds of Future Success
- Integration : Building a Learning Health Care System With Pragmatic AI Trials
- Streamlining : Reducing Waste and Lowering Costs in Health Care
- Complications : Predicting and Preventing Hospital Complications
- Prevention : Identifying Diseases With Predictive Models
- Precision Medicine : AI to Improve Health Screenings and Treatments
- Drugs and Devices : Using AI to Improve Pharmaceutical and Medical Device Development and Applications
- Medical Literature : AI and Information Overload
- Imaging : Medical Imaging and Strategies for Assessing Patient Impact
- Pandemics : Using AI Tools to Improve Health Outcomes in a Pandemic
- Careers : How to Build a Career Around AI in Medicine by Turning This Playbook Into a Reality.