Artificial-Intelligence-Augmented Clinical Medicine
Klaus-Peter Adlassnig
Section on Medical Expert and Knowledge-Based Systems
Core Unit for Medical Statistics and Informatics
Medical University of Vienna, Spitalgasse 23, A-1090 Vienna, Austria
klaus-peter.adlassnig@meduniwien.ac.at
Artificial intelligence (AI) has pervaded all fields of medicine. Clinical medicine was one of the first areas to benefit from the successful application of AI technology: medical expert systems were constructed as an aid for diagnosis and therapy.
Today, medical decision support and quality assurance are provided by software programs that are fully integrated into the medical information systems and work processes of hospitals, out-patient departments, laboratories, surgical and intensive care wards, and physicians’ offices. High-quality medical processing and knowledge modules require the development and application of advanced AI engineering methods in data and knowledge mining, pattern recognition and classification, knowledge-based systems, system and control theory, and robotics.
The resulting benefit for the patient, the physician, and the health care provider is twofold: Clinical medicine aided by AI allows for the creation of a safer health care system, and also permits better allocation of health care resources.
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