Advanced Expert Systems Ltd was originally founded in 1989 to bring the benefits of Artificial Intelligence (AI) systems and solutions to real world challenges.
AES Group offer a contract free, pay-as-you-go COSD application which is a standalone system. This system is fully PHE complaint. Check it out on our website by following the link!
https://t.co/ha7TqJGnnE
#AESGroup are passionate about improving healthcare through digital solutions, if you’d like to learn more about our current systems, or even have some ideas about how we could help you with a new solution, we’d love to hear from you! https://t.co/rqEFtgfoSY
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques.
The world of Digital Pathology is moving at an extraordinary and exciting speed right now, follow/like AES for the latest developments and progressions so you're prepared for whatever task you have at hand. #DigitalNHS
At AES we strive to continue to develop state of the art software that is user friendly with the aim of saving time reviewing paper reports and cutting down on mountains of paper work for our Pathologists & Haemotologists.
Did you know, as well as using Artifical Intelligence, AES Group use Machine Learning? Here is a great article on Machine Learning.
https://t.co/685s6tZr9n
Discover why healthcare facilities increasingly realise that (AI) Artificial Intelligence could help achieve significant impacts with digital pathology.
https://t.co/glyR8oKB7f
PathoSys'® intelligent reporting uses our AI algorithms to automate many steps of the cancer reporting process. It provides compliance with NHS Cancer Standards for Pathology. If you'd like to find out more, check out the link below or contact us.
https://t.co/eTU4KVOgR3
We're looking forward to continue to work on our exciting, ongoing projects and lots of new and interesting projects during 2020, but for now, we'd like to wish you a very Happy New Year from all of the team at #AESGroup!
#AESGroup are passionate about improving healthcare through digital solutions, if you’d like to learn more about our current systems, or even have some ideas about how we could help you with a new solution, we’d love to hear from you! #digitalhealthcare https://t.co/rqEFtgfoSY
We're looking forward to working on lots of new and exciting projects during 2020, but for now, we'd like to wish you a very Merry Christmas and a Happy New Year from all of the team at #AESGroup!
'The goal of pathology digitisation isn’t to replace pathologists with computers, but to use computers for menial and time-consuming tasks. This way, pathologists will have more time to spend on making better diagnosis....' Sead Brkan
What’s the difference between Neural Networks & Deep Learning? In short, Neural Networks aim to mimic how the human brain carries out the process of thinking, while Deep Learning is capable of teaching itself what to do with new data & how to process it.
“AI is not going to replace pathologists; rather, it’s going to enrich workflows and help pathologists better cope with the rapid rise in sample numbers and their complexity.” - Peter Hamilton
Did you know that AES Group offer a contract free, pay-as-you-go COSD application? This standalone system is fully PHE complaint. Check it out on our website by following the link!
https://t.co/ha7TqJGnnE
#AESGroup are passionate about improving healthcare through digital solutions, if you’d like to learn more about our current systems, or even have some ideas about how we could help you with a new solution, we’d love to hear from you! #digitalhealthcare https://t.co/rqEFtgfoSY
Systems like our very own MachineCare + can massively reduce failures in mechanical components used on the land, in the sea and in the air all thanks to specially created AI. If you're interested to find out more about MachineCare+, following the link! https://t.co/evy1rNnUEY
PathoSys'(R) intelligent reporting uses our AI algorithms to automate many steps of the cancer reporting process. It provides compliance with NHS Cancer Standards for Pathology. If you'd like to find out more, check out the link below or contact us!
https://t.co/eTU4KVOgR3