In AI in Medical Diagnosis, Business Insider Intelligence examines the value of AI applications in three high-value areas of medical diagnosis — imaging, clinical decision support, and personalized medicine — to illustrate how the tech can drastically improve patient outcomes, lower costs, and increase productivity. We look at US health systems that have effectively applied AI in these use cases to illustrate where and how providers should implement AI. Finally, we examine how a leading US health system validates AI partners and internally organizes its AI strategy to offer provider organizations a template for AI innovation.
The companies mentioned in this report include: Aidoc, Allscripts, Amazon, Arterys, Boston Gene, Cabell Huntington Hospital, Cerner, Cleveland Clinic, Epic, Geisinger Health System, Google, HCA Healthcare, IBM, iCAD, IDx, Intermountain Healthcare, Johns Hopkins, Meditech, Microsoft, Mount Sinai, NorthShore University HealthSystem, Oak Street Health, Stanford University, Tempus, UCI Health System, Unanimous AI, Verily, Viz.ai, and Yale New Haven Hospital.
In full, this exclusive report:
- Outlines how AI is disrupting medical diagnosis in US hospitals
- Details the three key AI use cases within medical diagnosis that will create the most value
- Identifies transformation strategies US hospitals can leverage to deploy AI effectively
- Predicts how the use of AI will evolve within clinical decision support, diagnostic imaging, and precision medicine
- And much more.
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