Google SMILY is a new tool that uses a reverse image search to look for cancerous cells, SMILY stands for Similar Medical Images Like Yours. The system operates with someone using a patient's sample, which is a high-resolution slide containing a dyed sample. Google SMILY allows users to select certain portions of the slide that they are more interested in. Users can see other images that are similar to the one they are looking at. Lastly, the program can alert to features in the sample like fused glands or tumor precursors.
Initial studies were done where doctors used the tool to determine pathologies. The tool was well used and researchers indicated that the tool was favored as opposed to previous methods. The use of the system also did not result in reduced diagnostic accuracy.
Illness-Detecting Reverse Image Search
Google SMILY Uses AI to Determine Pathology
Trend Themes
1. AI-enabled Pathology Diagnosis - Healthcare providers can utilize AI image search with dyed samples usage to avoid errors and deliver quality care for patients.
2. Reverse Image Search for Disease Detection - Reverse medical image search can enable early detection of illnesses and prompt treatment interventions, thus improving diagnosis accuracy and increasing patients' chances of survival.
3. Personalized Healthcare Diagnostics - By allowing users to pick areas of interest in the sample slide, the AI-powered system can deliver more personalized pathology diagnosis, resulting in customized treatment recommendations.
Industry Implications
1. Healthcare Industry - By adopting the SMILY system, healthcare providers can deliver personalized diagnosis and treatment interventions, allowing for better patient outcomes and reduced healthcare costs in the long run.
2. Pharmaceutical Industry - The reverse image search AI technology can enable pharmaceutical companies to identify drug targets while reducing trial and error, thus improving drug discovery and development processes.
3. Medical Research Industry - SMILY's use in pathology diagnosis can help medical researchers track data patterns and generate insights to guide the development of new therapies, medical devices, and diagnostic tools.