Asian-Pacific Aquaculture 2019

June 19 - 21, 2019

Chennai Tamil Nadu - India

ARTIFICIAL INTELLIGENCE IN FISH PATHOLOGY

Dhayanath. M*, Dr. K . Pani Prasad, Abisha Juliet Mary. S. J
 
ICAR- Central Institute of Fisheries Education, Versova, Andheri West, Mumbai- 400061
thrilldhaya007@gmail.com
 

Human intelligence - A marvel. It is considered superior than other higher animals because of our ability to use language and problem solving skills. Artificial intelligence is the next step in human evolution. It is an attempt to create machines that are capable of performing tasks and solve problems that are only reserved to humans and improve themselves. It is changing the world in every field including medical science. Medical diagnostics is in urgent need of improvement because of time limitations and diagnostic errors by human pathologists. This leads to the emergence of several strategies which utilises AI to improve diagnostics and leads to proper treatment. Today's state-of-the art clinical pathology consists of molecular techniques and omics technology, although these are not digitalized completely. Digital pathology is the hot topic in fundamental research which involves the digitalisation of slides along with combination of different data sources. AI has even surpassed human pathologists in diagnosis of several diseases. In fisheries, automation of disease diagnosis is not successful because of lack of data and expertise. Any attempt of developing the system and to overcome various difficulties in it has still not met any extraordinary success. Remote diagnosis system, image based automation system, expert systems were the three approaches involved in the AI of fish disease diagnosis which has a future scope for aquatic animal health management. AI combined with digital pathology has the key to realising the full potential of personalised healthcare. It follows a multi-resolution approach which helps in understanding the dark data in diagnostics and augments the pathologists in diagnosis, research and education.