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Artificial intelligence utilises massive amounts of data to help with predicting illness, prevention, and diagnosis, as well as patient monitoring. In obstetrics, artificial intelligence is utilized in magnetic resonance imaging, ultrasound, and foetal cardiotocography. AI contributes in the resolution of a variety of obstetrical diagnostic issues.
Beyond quantum computing, the term "quantum machine learning" is also associated with classical machine learning methods applied to data generated from quantum experiments (i.e. machine learning of quantum systems), such as learning the phase transitions of a quantum system [18] [19] or creating new quantum experiments. [20] [21] [22]
A Pew Research poll found that 6 in 10 U.S. adults would feel uncomfortable if their own health care provider relied on artificial intelligence (AI) to diagnose disease and recommend treatments ...
Neuromorphic quantum computing (abbreviated as ‘n.quantum computing’) is an unconventional type of computing that uses neuromorphic computing to perform quantum operations. It was suggested that quantum algorithms, which are algorithms that run on a realistic model of quantum computation, can be computed equally efficiently with ...
IBM claims that the advent of quantum computing may progress the fields of medicine, logistics, financial services, artificial intelligence and cloud security. [6] Another active research topic is quantum teleportation, which deals with techniques to transmit quantum information over arbitrary distances.
A pioneer in the use of artificial intelligence in healthcare was American biomedical informatician Edward H. Shortliffe. This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.
Artificial intelligence applications are often inspired by the idea of mimicking human brains through closely related biomimicry. [1] This has been implemented to a certain extent on classical computers (using neural networks), but quantum computers offer many advantages in the simulation of artificial life. [2]
Neuromorphic Quantum Computing [32] [33] (abbreviated as 'n.quantum computing') is an unconventional type of computing that uses neuromorphic computing to perform quantum operations. It was suggested that quantum algorithms , which are algorithms that run on a realistic model of quantum computation , can be computed equally efficiently with ...