Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
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Combined Applications of Artificial Intelligence and Simulation for Healthcare Process Optimization: A Systematic Review. [PDF]
Álvarez-Vázquez J +5 more
europepmc +1 more source
Applications of Artificial Intelligence in Food Industry. [PDF]
Jayan H, Min W, Guo Z.
europepmc +1 more source
Clinical Applications of Artificial Intelligence in Teleorthodontics: A Scoping Review. [PDF]
Polizzi A, Serra S, Leonardi R, Isola G.
europepmc +1 more source
Contemporary applications of artificial intelligence and machine learning in echocardiography. [PDF]
Raissi-Dehkordi N +2 more
europepmc +1 more source
Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review. [PDF]
Prégent J +4 more
europepmc +1 more source
Applications of artificial intelligence in cancer immunotherapy: a frontier review on enhancing treatment efficacy and safety. [PDF]
Liu J +7 more
europepmc +1 more source
Correction to: Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction. [PDF]
europepmc +1 more source
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Application of artificial intelligence in surgery
Frontiers of Medicine, 2020Artificial intelligence (AI) is gradually changing the practice of surgery with technological advancements in imaging, navigation, and robotic intervention. In this article, we review the recent successful and influential applications of AI in surgery from preoperative planning and intraoperative guidance to its integration into surgical robots.
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Applications of Artificial Intelligence in Echocardiography
Current Cardiovascular Risk Reports, 2023Purpose of ReviewEchocardiography is an integral component in the diagnosis and management of heart disease. This review focuses on the applications of artificial intelligence in echocardiography.Recent FindingsArtificial intelligence (AI) and machine learning (ML) applications continue to prove as useful adjuncts in clinical echocardiography.
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