ARTIFICIAL (A: ATTRACTIVE, R: READY FOR ANY TIME, T: THERAPEUTIC, I: INTELLIGENCE, F: FIGHTS FOR LIFE, I: INSIDE THE BODY, C: COMPUTING, I: INTERACTIVE, A: ALMOST THE GOD, L: LASTS LONG) INTELLIGENCE: READY FOR THE GREATER GOOD OF MEDICAL SCIENCE
*Kushal Nandi, Dr. Dhrubo Jyoti Sen, Dr. Dhananjoy Saha, Sipra Sarkar and Angshul Saha
ABSTRACT
Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data. What distinguishes AI technology from traditional technologies in health care is the ability to gather data, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms and deep learning. These algorithms can recognize patterns in behavior and create their own logic. To gain useful insights and predictions, machine learning models must be trained using extensive amounts of input data. AI algorithms behave differently from humans in two ways: (1) algorithms are literal: once a goal is set, the algorithm learns exclusively from the input data and can only understand what it has been programmed to do, (2) and some deep learning algorithms are black boxes; algorithms can predict with extreme precision, but offer little to no comprehensible explanation to the logic behind its decisions aside from the data and type of algorithm used.
Keywords: Dendral, Mycin, Internist-1 and Casnet, CT, MR, icometrix, QUIBIM, Robovision, IMAGRT, ANN, BN, Telemedicine, HER, NLP, OCD, GENTRL, HEALS, UBTECH, BCI, GDPR, HIPPA, Automation.
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