| Analytic power |
accuracy |
ability to classify images as well as experts, ensuring diagnostic and prognostic accuracy
|
| superiority |
ability to differentiate images better than an expert, identifying patterns not always visible to the human eye
|
| objectivity |
lack of human subjective biases and errors, reducing variability and improving comparability and reproducibility
|
| big data use |
ability to handle and analyse large amounts of data and tackle the challenges of big data
|
| Efficiency |
time efficiency |
ability to speed up analysis and clinical translation through automation of otherwise time-consuming manual tasks
|
| cost efficiency |
ability to lower direct and indirect costs through time and diagnostic efficiency, automation, and enhanced workflows
|
| Clinical impact |
workflow improvements |
ability to optimize clinical workflows through integrating, automating, streamlining, and structuring processes
|
| decision making |
supporting faster, cheaper, more accurate and higher-level decision making and clinical interpretations
|
| personalization |
facilitate personalized care, though higher analytic power, efficiency and improved clinical workflows
|
| Equity |
reach, access, and affordability |
promise of increased geographic reach of and better access to affordable image-based healthcare
|
