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Reimagining nuclear materials for the future of medicine
Nuclear medicine has come a long way since Henri Becquerel first observed the penetrating energy of radioactive materials in 1896. Today, technetium-99m alone is used in more than 40 million diagnostic procedures every year—from cardiovascular imaging and bone scans to cancer detection—making it the undisputed workhorse of nuclear medicine. That single statistic tells you something important: An enormous portion of modern diagnostic medicine rests on a surprisingly narrow foundation, one built around a small number of aging research reactors that were never originally designed for continuous isotope production.
Robert E. Uhrig
Nuclear Technology | Volume 88 | Number 2 | November 1989 | Pages 157-165
Technical Paper | NSF Workshop on the Research Needs of the Next Generation Nuclear Power Technology / Fission Reactor | doi.org/10.13182/NT89-A34322
Articles are hosted by Taylor and Francis Online.
Application of automation using digital systems to control and manage nuclear power plants, along with the introduction of some of the techniques of artificial intelligence, can offer the public assurance that nuclear power plants are being controlled and managed safely and efficiently. Automation could dramatically reduce the minor glitches that detract from the truly fine performance of these plants. Demands for increased safety margins, lower environmental impacts, improved performance, and greater investment protection will inevitably lead to automation of most nuclear power plant functions. Technologies that should be supported to ensure the proper development of this generation of nuclear power plants include fault-tolerant digital control and safety systems, automated software production, human factors, sensor-reading validation, artificial intelligence, expert systems, neural networks, alternate computer technologies, and robotics.