Journal of Data Mining in Genomics & Proteomics

Artificial Intelligence in Orthopaedics: Current Updates

9^th Global Summit on Artificial Intelligence and Neural Networks

September 07, 2021 | Webinar

Anikait Ghosh Kadamb

Gems Modern Academy, Dubai, UAE

Scientific Tracks Abstracts: J Data Mining Genomics Proteomic

Abstract:

AI is used with intelligent robots and the associated machinery to perform orthopaedics surgery accurately. These systems can detect mistakes in the given environment and provide actionable information regarding heat, light, movement, temperature, sound, and pressure and thus mini- mizing human errors. The primary ability of AI is to monitor, manage, and communicate with real-time notifications. This technology allows computer/software-controlled machines to think intelligently similarly as a human being and helps doctors and surgeons to provide efficient treatment and personalized experience. AI has many limitations including high capital cost, long learning curve, variable reliability, medicolegal and ethical concerns. Analytically and logically machines may be able to translate human behavior, but certain human traits such as critical thinking, interpersonal and communication skills, emotional intelligence, and creativity cannot be honed by the machines.

Biography :

Anikait Ghosh Kadamb is a researcher, young scholar, and high school student at Gems Modern Academy. He has a passion for Artificial intelligence, Regenerative Medicine, and in latest stem cell research. He has co-authored three papers in regenerative medicine, including a widely appreciated paper on how stem cell actual work is indexed in Pubmed, Platelet Rich Plasma, and Editorial Review Article on the latest development Orthobiologics. He has presented how stem cell works in 4th World Congress in Cell Science and Stem Cell Research 2021. He wants to pursue his higher study in computer science and develops software techniques and program to help the humanity.