Share

It is not just the large multinationals that have invested in technology for medicine. Two companies from Porto Digital, a technological hub in Pernambuco, teamed up to offer services for the automatic detection of patterns in diagnostic medicine using artificial intelligence. Neurotech, which has been offering AI solutions since 2000 for the credit and insurance segments, and PickCells, a startup that works with laboratory automation, will offer image diagnosis. As the patterns of anomalies and pathologies are automatically identified and X-ray images, MRIs and CT scans can be received electronically, companies will be able to serve hospitals and laboratories across the country and even abroad.
 
“There is a great demand for these services, either because of the high volume of exams to be performed, or because of the lack of the necessary infrastructure to carry out medical reports based on image analysis”, says Adrian Arnaud, a partner at Neurotech.
 
The main advantage offered by the solution, however, is assertiveness and productivity gains. Today, the activity is performed by medical pathologists and radiologists, who visually look for these patterns. “In parasitology, for example, we reach 94% of precision, while a well-trained technician reaches, on average, an assertiveness of 79%”, says Paulo Melo, co-founder of PickCells.
 
Through artificial intelligence, characteristic patterns are immediately identified. “The solution is in the cloud, where the algorithm identifies, in the image, where it is, what the problem is and what pathology it is linked to. With this information, there is a significant cost reduction and speed gain. Reports that take days to be ready will be available in minutes. In addition, many hospitals do not even have radiologists or pathologists and end up hiring outsourced workers to offer the exam reports”, says Melo.
 
The main advantage offered by the solution, however, is assertiveness and productivity gains. Through artificial intelligence, characteristic patterns are immediately identified. “The solution is in the cloud, where the algorithm identifies, in the image, where it is, what the problem is and what pathology it is linked to. With this information, there is a significant cost reduction and speed gain. Reports that take days to be ready will be available in seconds. In addition, many hospitals do not even have radiologists or pathologists and end up hiring outsourced workers to offer the exam reports”, says Melo.

quick access

en_USEN