Is human-AI ‘symbiosis’ the path forward in chest radiography?

Human-AI symbiosis – rather than totally autonomous AI – should be the current goal for AI in chest radiography, according to an editorial published January 23 in Radiology.“In the coming years, radiologists will find themselves working in a reimagined diagnostic cockpit, increasingly interpreting chest radiographs and other imaging studies in symbiotic partnership with AI,” proposed lead author Warren Gefter, MD, of the University of Pennsylvania in Philadelphia, and colleagues.To achieve this vision, radiologists will need to apply the goals of “human-centered AI” and symbiosis to the design and implementation of AI in chest radiography, the authors wrote. This will help ensure that AI remains safe, reliable, and trustworthy, they suggested.For radiology, the key will be well-designed, nondisruptive user interfaces and collaborative AI radiologist workflows. These must include AI explainability techniques, which provide clues to the basis for the model’s decisions, confidence levels for predictions, and editing functions to allow radiologists to immediately modify erroneous results, they wrote.For its part, the AI could display a warning signal when it suspects human error or an alert when its own confidence levels are low. To that end, uncertainty quantification methods, which allow AI models to provide such confidence levels for their predictions, are being actively investigated, the authors noted.Moreover, this human-AI symbiosis could also allow determinat...

Source: AuntMinnie.com Headlines - January 24, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Chest Radiology Thoracic Imaging Source Type: news