Scope of Artificial Intelligence in Medical Sciences

Authors

  • Dr. Charu Chahar JR PBM Bikaner, Rajasthan, India
  • Varun Chahar Programmer Analyst, Cognizant

Abstract

Artificial intelligence (AI) is the intelligence of machines or softwares, as opposed to the intelligence of human beings or animals. AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), and competing at the highest level in strategic games (such as chess and Go).[1][2]

Artificial intelligence was founded as an academic discipline in 1956, and in the years since it has experienced several waves of optimism,[3][4] followed by disappointment and the loss of funding (known as an "AI winter"),[5][6] followed by new approaches, success, and renewed funding.[4][7] AI research has tried and discarded many different approaches, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge, and imitating animal behavior. In the first decades of the 21st century, highly mathematical and statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.[7][8]

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Published

2023-07-18

How to Cite

Dr. Charu Chahar, & Varun Chahar. (2023). Scope of Artificial Intelligence in Medical Sciences. Procedia of Engineering and Medical Sciences, 3, 8–28. Retrieved from https://procedia.online/index.php/engineering/article/view/861