ARTIFICIAL INTELLIGENCE 500 500 478 449 400 400 500 500 300 300 400 200 200 300 100 100 200 0 0 Digital viewer only 100
PNI positive 100
identified. For instance, the pathologists mentioned: n The impact on benign slide reviews within the scope of the study. “I used to always look at benign slides twice. The AI enables me to look only once.”
0
n Time-saving functions such as the “incredibly useful” digital ruler, tagging, and virtual slide tray.
n The accuracy of the AI-generated digital ruler measurements (“the trust is there”), especially when combined with the freedom to change values if they disagree with the AI.
n Better workflow planning and confidence through cancer classification and heatmap functionality.
n The PNI indications, which they considered “very useful” and “amazing”.
Adopting DP and AI Survey responses indicate that the three pathologists considered the combined DP and AI solution a “game changer” that “no doubt… is the preferred way to sign out cases.” They “can’t wait” to use this
Fig 3. Detected perineural invasion as a percentage of cases. 0
PNI negative 24% 200 300 29% With AI 400
n Reduced time spent on measurements, with automated, AI-generated tumour length.
“beautiful product” in their daily work. This feedback suggests that deployment of these technologies at scale would be welcomed by pathologists, and that real- life experiences help to see how digital workflows may benefit them and their daily operations.
This positive feedback shows the importance of digital workflows in pathology laboratories for talent acquisition and retention. For recent digital-native graduates, companies need to provide a work environment that uses new digital technologies to automate manual tasks, streamline collaboration, and empower them to do meaningful, impactful work. In times of pathologist shortages, providing the benefits of a digital, AI-empowered workflow can be an important element for a laboratory to be an attractive employer.
Workflow impact
The positive experiences pathologists had using Concentriq Dx and Ibex Prostate were also influenced by important workflow improvements to simple case-by case tasks. A reduction in manual data entry, and auto-population of results into patient reports ultimately saves time and shows great potential to reduce
AI-empowered workflows in this study made it easier for pathologists to manage workloads and make faster, more confident diagnoses, both of which are key ingredients to an improved work/life balance and overall job satisfaction
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transcription errors and associated costs. In this study AI allowed pathologists to sign out 2.9 instead of 1.2 cases per hour. AI-empowered workflows in this study made it easier for pathologists to manage workloads and make faster, more confident diagnoses, both of which are key ingredients to an improved work/life balance and overall job satisfaction. Automated AI-powered analysis prior to pathologist review through Ibex Prostate offers the potential to optimise downstream workflow requests, such as requesting additional immunohistochemistry (IHC) tests for the case as well as the request for a secondary review for cases with malignancies. These optimisations potentially can improve turnaround times. With the results of the AI, for example, slide findings may be provided in a summary report at the beginning of the sign-out work for the pathologists. This data would allow the pathologists to make their scheduling requests for additional IHC stains and secondary review in the morning, ensuring a turnaround on the same day rather than the next day. An automated pre-ordering policy could be developed based on the available data, further helping with harmonisation of operations and predictability of workload.
Conclusion To date, few clinical studies have focused on demonstrating the accuracy and impact of AI in digital pathology workflows – and none had been done in a large-scale diagnostic laboratory setting with preloaded AI results. This study shows the potential benefits for diagnostic laboratories – both large and small – so they can properly assess the value of these technologies and make the best decisions as they plan ahead for future investment.
The study clearly demonstrated that DP and AI from Proscia and Ibex offer significant potential return on investment focused on key value drivers. The study also demonstrated that AI is highly accurate and easy to use when embedded into the digital pathology workflow. Pathologists have shown significant interest in adopting the technology for their daily workflows, as the efficiencies it can provide as an integrated solution can save time, reduce costs, boost margins, and enable pathologists to do more volume in less time – with less stress and greater work/ life balance.
Download the complete report at:
https://go.proscia.com/Quest-Study- Report-2024
AUGUST 2024
WWW.PATHOLOGYINPRACTICE.COM
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