Description
Of all of the areas where artificial intelligence is expected to influence healthcare, imaging is one of the largest. This is due to the dependence on visual examination, demand for increased procedures and error / cost reduction, and the development of specific computing tools that make AI-guided decisions far more practical.
This special report focuses on the key major radiology product offerings. It also analyzes the offerings, PACS compatibility, approval status and technology offerings of 100+ specific AI vendors.
Radiology vendors, providers and those seeking to understand the imaging and AI market will find it a useful resource.
Table of Contents
AI Modality Analysis
- Factors Affecting Future Outlook
- Table: Agree or Disagree
- Top-Ranked Potential Uses for AI Applications
- Figure: Priority Ranking of Potential Uses for AI and Ml Tools
Current Trends
- Investing in It Interoperability Can Extinguish Radiologist Burnout
- Radiologists Boost AI Severity Quantification of Covid-19
- Table: Impact of Radiologist-Supervised Transfer Learning On Performance of AI Algorithm for Detecting Pneumonia On Radiographs
- Can AI Help Detect Cancer On CT Lung Cancer Screening Exams?
- Table: Performance of AI and Radiologists for CT Lung Cancer Screening
- Can AI Help Screen for Early Interstitial Lung Disease On X-Rays?
- Table: Impact of AI of Chest X-Rays On Detection of Reticular Opacity
- How Technology Can Drive Better Job Satisfaction in Radiology
- Can AI Help Screen for Early Interstitial Lung Disease On X-Rays?
- Table: Impact of AI of Chest X-Rays On Detection of Reticular Opacity
- AI Cuts Pet Scan Time in Alzheimer’s Disease
- Figure: Visual Comparison
- What’s The Best Way to Implement AI in A Community Hospital?
- Table: Impact of AI-Enhanced Mr Image Acquisition On Scanning Times
- FDA Faces Research Hurdles in Regulating AI for Imaging
- Table: Performance of Exam AI in Predicting COVID-19 Clinical Outcomes
- AI Could Help Diagnose Tb in Developing Countries
Challenges of AI in Medical Imaging
AI in Imaging Vendors
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- Table: Companies Involved in Adaption of AI to Medical Imaging
