News

Aprobación de ANMAT para Entelai Pic Covid-19

VER MÁS

En las últimas semanas, hemos recibido con agrado la noticia de que ANMAT aprobó nuestra modificación de la herramienta para radiografías de tórax, para ser utilizada en el soporte diagnóstico de pacientes con Covid-19. Los radiólogos de Argentina que quieran utilizar esta herramienta como soporte, lo pueden hacer ahora contando con la tranquilidad de que están usando el único producto con aprobación regulatoria en el país. Esta aprobación va en línea con nuestro compromiso con la calidad, la evaluación

Covid
News

Artificial Intelligence as a support for the detection of Covid-19 cases

VER MÁS

From Entelai we want to make our contribution to the Covid-19 epidemic, and we offer free access to our service for detecting suspicious cases on the web Introduction Hi, everybody. We want to tell you the story of our last days working day and night to adapt our Artificial Intelligence (AI) chest X-ray algorithm to detect suspicious cases of Covid-19.  The SARS-CoV-2 pandemic (popularly known as coronavirus, and which causes a severe respiratory illness called Covid-19) has surprised us

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Ateneos

Image quantification and computer simulation: from the laboratory to clinical practice

VER MÁS

In the last seminar we had as a guest Ignacio Larrabide, Systems Engineer and coordinator of Yatiris, a research group focused on the development of image quantification and simulation techniques in medicine. Ignacio told us about the projects they are currently working on and we discussed the transition from laboratory projects to clinical practice. You were working on your post-doc in Europe. How would you place Argentina in relation to Europe in terms of technological/academic advances in the health

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Ateneos

Importance of variables and correlation problems

VER MÁS

For our last seminar we had the pleasure of receiving Pablo Brusco, who has a degree in Computer Science and is a PhD student at the Computer Science Department (UBA). Pablo works on topics related to natural language processing and in particular on the study of speech processing – where he uses automatic learning to analyze dialogues between people and to be able to understand clues that we produce unconsciously (such as small changes in tone of voice) that

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Ateneos

Brief history of radiology

VER MÁS

In our last Seminar we talked about the history of radiology, its advances until reaching the current state of affairs and the areas where there are still many things to be solved. It is in this context that Hernán Chaves gives us a brief summary of the history of radiology and leaves us with some topics to think about in terms of possible improvements in which we can help to make the service in imaging centers faster and more

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Ateneos

Artificial Intelligence: Legal Challenges and Regulatory Framework

VER MÁS

Within the framework of the Seminar Cycle organized by Entelai, we had the pleasure of receiving Cecilia Danesi. Cecilia is a Lawyer from the University of Buenos Aires and has a Master’s Degree in Damages Law from the University of Girona. She is also a Researcher and Teacher in the subject Artificial Intelligence and Law at the UBA. Her dissertation was about the interrelationship between Artificial Intelligence and Law, and she answered some questions: What kind of legislation exists

Ia
Investigation

Artificial Intelligence for assistance in neurological consultations

VER MÁS

Despite the countless advances in medical practice over the past 50 years, the epidemiological transition (population aging due to reduced birth and death rates) poses an enormous challenge for those of us who practice neurology: neurological diseases are an increasingly common cause of death and disability; and their care involves costly costs for patients and their families, as well as for the health system in general. In addition to this global problem, there is a problem of inequity in

Bienvenidos Entelai
News

Welcome to Entelai, a scientific company

VER MÁS

Entelai is the result of several years of work by two researchers from CONICET, Dr. Diego Fernández Slezak from UBA and Dr. Mauricio Farez from FLENI. In 2014 an academic collaboration between the two institutions began. This would eventually become Entelai by the end of 2017, with the firm purpose of optimizing the health system by empowering doctors through the use of artificial intelligence. This path has just begun and there is much to discover and learn from these

Ateneo
Ateneos

Learning anatomical representations with auto-coders

VER MÁS

On June 26, Entelai had the pleasure of receiving Enzo Ferrante, a researcher from CONICET and a specialist in the development of automatic learning methods for the analysis of medical images. Enzo focused his talk on the latest research he is carrying out with his team at the Universidad Nacional del Litoral: the use of noise elimination auto-coders to solve image segmentation and registration problems using Deep Learning. He took the opportunity to tour Entelai’s offices and talk to

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