Microsoft and SRL Diagnostics Created an AI Screening System for Cancer
Daniel Johnson — November 14, 2019 — Tech
References: news.microsoft & techcrunch
Microsoft and SRL Diagnostics have created an AI system that can diagnosis cervical cancer at a faster rate. The two organizations originally worked on the project last year. Notably, the new system runs on Microsoft's Azure to screen images for the early stages of cancer.
The system is undergoing a validation process in labs, which will take anywhere from three to six months. During this time the system will analyze over half a million images.
Dr. Arnab Roy is the SRL Diagnostics Technical Lead for New Initiatives & Knowledge Management, Dr. Roy also spoke on how the AI system could affect healthcare in the future, "The API has the potential of increasing the productivity of a cytopathology section by about four times. In a future scenario of automated slide preparation with assistance from AI, cytopathologists can do a job in two hours what would earlier take about eight hours!”
Image Credit: Microsoft/SRL Diagnostics
The system is undergoing a validation process in labs, which will take anywhere from three to six months. During this time the system will analyze over half a million images.
Dr. Arnab Roy is the SRL Diagnostics Technical Lead for New Initiatives & Knowledge Management, Dr. Roy also spoke on how the AI system could affect healthcare in the future, "The API has the potential of increasing the productivity of a cytopathology section by about four times. In a future scenario of automated slide preparation with assistance from AI, cytopathologists can do a job in two hours what would earlier take about eight hours!”
Image Credit: Microsoft/SRL Diagnostics
Trend Themes
1. Faster Cancer Diagnosis - The AI system can diagnose cervical cancer at a faster rate, saving valuable time for patients and healthcare professionals.
2. AI Image Screening - Using Microsoft's Azure, the AI system can screen images for early stages of cancer, enabling more accurate and efficient detection.
3. Increased Productivity in Cytopathology - The AI system has the potential to increase the productivity of cytopathology sections by about four times, allowing cytopathologists to analyze slides more efficiently.
Industry Implications
1. Healthcare - The AI system's faster cancer diagnosis and image screening capabilities have the potential to greatly impact the healthcare industry by improving patient outcomes and workflow efficiency.
2. Artificial Intelligence - The development of AI systems for cancer detection and image screening represents a disruptive innovation opportunity within the artificial intelligence industry, with potential applications in various other fields.
3. Diagnostic Services - The AI system's ability to increase productivity in cytopathology sections opens up opportunities for disruptive innovation in the diagnostic services industry, potentially revolutionizing the way slides are analyzed and diagnosed.
2.7
Score
Popularity
Activity
Freshness
