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Artificial intelligence in thyroid field : a comprehensive review

Bini, Fabiano ; Pica, Andrada ; Azzimonti, Laura ; Giusti, Alessandro ; Ruinelli, Lorenzo ; Marinozzi, Franco ; Trimboli, Pierpaolo

In: Cancers, 2021, vol. 13, no. 19, p. 18

Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human cognitive abilities. AI-based methodologies, e.g., machine learning and deep learning, as well as the recently developed research field of radiomics have noticeable potential to transform medical diagnostics. AI-based techniques applied to medical imaging allow to detect biological abnormalities, to...

Accuracy of Computational Soft Tissue Predictions in Orthognathic Surgery From Three-Dimensional Photographs 6 Months After Completion of Surgery: A Preliminary Study of 13 Patients

Terzic, Andrej ; Combescure, Christophe ; Scolozzi, Paolo

In: Aesthetic Plastic Surgery, 2014, vol. 38, no. 1, p. 184-191

Longitudinal validation of the Fear-Avoidance Beliefs Questionnaire (FABQ) in a Swiss-German sample of low back pain patients

Staerkle, Ralph ; Mannion, Anne ; Elfering, Achim ; Junge, Astrid ; Semmer, Norbert ; Jacobshagen, Nicola ; Grob, Dieter ; Dvorak, Jiri ; Boos, Norbert

In: European Spine Journal, 2004, vol. 13, no. 4, p. 332-340

Online disturbance prediction for enhanced availability in smart grids

Kaitovic, Igor ; Malek, Miroslaw (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2017 ; 2017INFO011.

A gradual move in the electric power industry towards Smart Grids brings new challenges to the system's efficiency and dependability. With a growing complexity and massive introduction of renewable generation, particularly at the distribution level, the number of faults and, consequently, disturbances (errors and failures) is expected to increase significantly. This threatens to compromise...

Dynamic adaptive partitioning for nonlinear time series

Bühlmann, P.

In: Biometrika, 1999, vol. 86, no. 3, p. 555-571