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Artificial Intelligence in the Clinical Laboratory: “ How Does It Work ?”

Artificial Intelligence in the Clinical Laboratory: “ How Does It Work ?”. By: Ralph Anderson. Definitions. Automaton Intelligence Knowledge Engineering Inference Engine Neural Networks. Applications. Medicinal Embedded Systems Vision. User Interfaces. Keyboard Speakers Microphones

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Artificial Intelligence in the Clinical Laboratory: “ How Does It Work ?”

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  1. Artificial Intelligence in the Clinical Laboratory:“How Does It Work?” By: Ralph Anderson

  2. Definitions • Automaton • Intelligence • Knowledge Engineering • Inference Engine • Neural Networks

  3. Applications • Medicinal • Embedded Systems • Vision

  4. User Interfaces • Keyboard • Speakers • Microphones • Touch pads • Weather • Barometric pressure

  5. Conclusion We have looked at ways in which the development of programmed software and its flexibility has allowed clinical laboratory systems to become intelligent. We have also looked at how the neural network learns. This is based on the methods of human learning. I wonder haw soon it will be before a machine will act, look and think like a human. What then? If I was to do an experiment of AI, I would be most interested in the neural networks, and how to improve their learning capability. Someday I hope to be working with cybernetic organisms, and possibly teaching them, and helping them move beyond the "Dr. Spock" state of consciousness.

  6. References • Coon, Dennis (1997) Essentials of Psychology • Place, Truchaud, Ozawa, Pardue, and Schnipelsky, (1994). Use of Artificial Intelligence in analytical systems for the clinical laboratory. Clinica Chimica Acta 231 (1994) S5-S34 • ftp.cs.cmu.edu:/user/ai/pubs/faqs/ai/timeline.txt • http://www.cis.ohio-state.edu/hypertext/faq/usenet/ai-faq/general/part1/faq-doc-3.html • http://www.cis.ohio-state.edu/hypertext/faq/usenet/ai-faq/general/part1/faq-doc-10.html

  7. The End

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