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Artificial Intelligence-Based Prediction of Surgeon Stress in Robot-Assisted Minimally Invasive Surgery Using ECG Sensor Data.

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Title: Artificial Intelligence-Based Prediction of Surgeon Stress in Robot-Assisted Minimally Invasive Surgery Using ECG Sensor Data.
Authors: Caballero, Daniel1 (AUTHOR), Pérez-Salazar, Manuel J.1,2 (AUTHOR), Sánchez-Margallo, Juan A.1 (AUTHOR) jasanchez@ccmijesususon.com, Sánchez-Margallo, Francisco M.2 (AUTHOR)
Source: Surgeries (2673-4095). Jun2026, Vol. 7 Issue 2, p67. 26p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Surgeries+%282673-4095%29%22">Surgeries (2673-4095)</searchLink>. Jun2026, Vol. 7 Issue 2, p67. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194939675
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        Value: 10.3390/surgeries7020067
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      – Code: eng
        Text: English
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      – TitleFull: Artificial Intelligence-Based Prediction of Surgeon Stress in Robot-Assisted Minimally Invasive Surgery Using ECG Sensor Data.
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            NameFull: Caballero, Daniel
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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