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Juan Luis Alcázar

University of Navarra - Clínica Universidad de Navarra

SCHOLARLY PAPERS

3

DOWNLOADS

237

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

AI-Driven Ultrasound Detection of Ovarian Cancer that Generalizes: An International Multicentre Validation Study

Number of pages: 33 Posted: 22 Jan 2024
Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science, Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Södersjukhuset (Sös) - Department of Clinical Sciences and Education, Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science, Medical University of Lublin, University of Milan - DIBIC “Luigi Sacco”, Università degli Studi di Milano-Bicocca, Institute for the Care of Mother and Child, Lithuanian University of Health Sciences, European Institute of Oncology (IEO) IRCCS, Charles University in Prague - Department of Obstetrics and Gynecology, Fondazione Poliambulanza Istituto Ospedaliero, Forlì and Faenza Hospitals AUSL - Obstetrics and Gynecology Unit, Hospital Universitario Dexeus - Department of Obstetrics, Gynecology, and Reproduction, Medical University of Silesia, Universita di Cagliari, IRCCS “Burlo Garofolo” - Institute for Maternal and Child Health, Skåne University Hospital - Department of Obstetrics and Gynecology, Azienda Ospedaliero-Universitaria, University of Navarra - Clínica Universidad de Navarra, National and Kapodistrian University of Athens, Rizal Medical Center, University of Milan - DIBIC “Luigi Sacco”, Morgagni-Pierantoni Hospital, Charles University, Mater Olbia Hospital - Gynecology and Breast Care Center, Fondazione Poliambulanza Istituto Ospedaliero, Royal Institute of Technology (KTH), Royal Institute of Technology (KTH) - School of Electrical Engineering and Computer Science and Karolinska Institutet
Downloads 173 (435,504)

Abstract:

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ovarian neoplasms, ultrasonography, diagnostic imaging, artificial intelligence, deep learning, machine learning, triage, clinical decision-making

2.

Development and internal validation of competing risks models that combine demographic and ultrasound features with the ESMO-ESGO-ESTRO or ESGO/ESTRO/ESP risk classifications to predict recurrence or progression in endometrial cancer: results from the IETA-4 cohort follow-up study

Number of pages: 26 Posted: 09 Dec 2025
affiliation not provided to SSRN, KU Leuven, Charles University in Prague - Department of Obstetrics and Gynecology, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, European Institute of Oncology (IEO) IRCCS, Lund University, Lund University, Vilnius University - Vilnius University Hospital Santaros Klinikos, Institute for the Care of Mother and Child, Università degli Studi di Milano-Bicocca, Fondazione IRCCS Istituto Nazionale dei Tumori, University of Navarra - Clínica Universidad de Navarra, Charles University in Prague - Department of Obstetrics and Gynecology, Universita di Cagliari - University Hospital of Cagliari, affiliation not provided to SSRN, City of Hope, KU Leuven, Imperial College London, KU Leuven - Department of Development and Regeneration, KU Leuven and Karolinska Institutet
Downloads 40 (1,183,237)

Abstract:

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Endometrial Neoplasms, Ultrasonography, Risk Assessment, recurrence, Clinical Decision-Making, Survival Analysis

3.

Prediction of Non-Resectability in Tubo-Ovarian Cancer Patients Using Peritoneal Cancer Index – a Prospective Multicentric Study Using Imaging (Isaac Study)

Number of pages: 33 Posted: 01 Aug 2024
affiliation not provided to SSRN, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, University of Navarra - Clínica Universidad de Navarra, affiliation not provided to SSRN, affiliation not provided to SSRN, Masaryk University - Institute of Biostatistics and Analyses, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori, Fondazione IRCCS Istituto Nazionale dei Tumori, Charles University in Prague - Department of Obstetrics and Gynecology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS - Gynecologic Unit, European Institute of Oncology (IEO) IRCCS, affiliation not provided to SSRN, University Hospital Brno, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Catholic University of the Sacred Heart, Rome - Gynecologic Oncology Unit, affiliation not provided to SSRN, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, affiliation not provided to SSRN, affiliation not provided to SSRN, Fondazione IRCCS Istituto Nazionale dei Tumori and Charles University
Downloads 24 (1,399,036)

Abstract:

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Ovarian cancer, laparotomy, laparoscopy, ultrasonography, computed tomography, magnetic resonance