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4 results on '"Sancho, Teresa"'

1. Feasibility of a screening algorithm for chronic thromboembolic pulmonary hypertension: The OSIRIS study.

Author

Otero R, Lobo JL, López R, Fernández C, Jiménez D, Muriel A, Alfonso M, Ballaz A, Núñez-Ares A, Rodríguez-Matute C, de Miguel-Díez J, Rodríguez-Chiaradía DA, Alcalde M, Elías T, Jara-Palomares L, Rivas A, Alonso Á, García-Ortega A, Sancho T, Morillo R, García-Bragado F, Hernández-Blasco L, Uresandi F, Madridano O, Agüero R, and Monreal M

Subjects
Humans, Longitudinal Studies, Feasibility Studies, Algorithms, Chronic Disease, Hypertension, Pulmonary etiology, Pulmonary Embolism complications, Pulmonary Embolism diagnosis, Pulmonary Embolism epidemiology
Abstract

Introduction: Chronic thromboembolic pulmonary hypertension (CTEPH) is a long-term sequel to pulmonary embolism (PE) whose incidence varies according to different published studies. We have carried out this study to determine its incidence within 2 years after index pulmonary embolism and to study limitations to an early diagnosis., Material and Methods: OSIRIS is a multicentre, longitudinal cohort study. Patients were followed for 3, 6, 12, and 24 months after pulmonary embolism using a structured three-step algorithm. A physician-centered questionnaire at least one positive response in a screening proceeded to the second step, transthoracic echocardiography. The third step consisted of ventilation/perfusion lung scintigraphy and right heart catheterisation. A transthoracic echocardiography was performed in patients without positive response in the screening questionnaire after 2 years. CTEPH diagnosis required haemodynamic confirmation by right heart catheterisation and mismatched perfusion defects on lung scintigraphy., Results: A total of 1191 patients were enrolled in 18 Spanish hospitals. Cumulative CTEPH incidence after 2-years PE was: 2.49 % (95 % CI: 1.68-3.56) and the incidence rate of CTEPH was 1.1 cases per 1000 person-months (95 % CI: 0.725; 1.60). The CTEPH algorithm presented a lack of adherence of 29 %; patient and physician preferences posed barriers to the triage algorithm The screening questionnaire, in patients who completed the follow-up, shows a specificity of 91.3 % (89.0-93.2 %) and negative predictive value of 99.4 % (98.4-99.8 %).., Conclusions: OSIRIS provides practiced clinical based data on the chronic thromboembolic pulmonary hypertension incidence and identified barriers to the implementation of a 3-step triage algorithm for its detection., Clinical Trial Registration: clinicaltrials.gov identifier: NCT03134898., Competing Interests: Declaration of competing interest Authors declared to have no conflicts., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2023
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2. Prediction of early mortality in patients with cancer-associated thrombosis in the rIete Database

Author

Fuentes, Harry E., Tafur, Alfonso J., Caprini, Joseph A., Alatri, Adriano, Trujillo-santos, Javier, Farge-bancel, Dominique, Rosa, Vladimir, Font, Llorenc, Vilaseca, Alicia, Monreal, Manuel, Adarraga, Maria D., Aibar, Miguel A., Aibar, Jesus, Amado, Cristina, Aranda, Carlos, Arcelus Juan, I, Ballaz, Aitor, Barba, Raquel, Barillari, Giovanni, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Benzidia, Ilham, Bertoletti, Laurent, Blanco-Molina, Angeles, Bilora, Franca, Bortoluzzi, Cristiano, Bosevski, Marijan, Bounameaux, Henri, Braester, Andrei, Brandolin, Barbara, Brenner, Benjamin, Bucherini, Eugenio, Hanh My Bui, Bura-Riviere, Alessandra, Camon, Ana M., Carrasco, Cristina, Castro, Joaquin, Cesta, Alisia, Ciammaichella, Maurizio, Cruz, Javier A., de Ancos, Cristina, del Toro, Jorge, Demelo, Pablo, Dentali, Francesco, del Carmen Diaz-pedroche, Maria, Diaz-Peromingo, Jose A., Di Micco, Pierpaolo, Di Pangrazio, Marco, Ellis, Martin, Encabo, Marta, Falga, Conxita, Falvo, Nicolas, Farfan Ana, Fernandez-Capitan, Carmen, Angeles Fidalgo, Maria, Font, Carme, Fresa, Marco, Furest, Ildefonso, Garcia, Maria A., Garcia-Braoado, Ferran, Garcia-Morillo, Marcia, Garcia-Raso, Aranzazu, Gavin, Olga, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grandone, Elvira, Grau, Enric, Guijarro, Ricardo, Gutierrez, Javier, Gutierrez, Paula, Hernandez-Blasco, Luis, Hu, Adrian, Hirmerova, Jana, Imbalzano, Egidio, Jara-Palomares, Luis, Jaras, Maria J., Jimenez, David, Jou, Ines, Joya, Maria D., Krstevski, Gorjan, Lessiani, Gianfranco, Lima, Jorge, Llamas, Pilar, Lobo, Jose L., Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Lopez-Nunez, Juan J., Lopez-Reyes, Raquel, Lopez-Saez, Juan B., Lorente, Manuel A., Lorenzo, Alicia, Loring, Monica, Lumbierres, Marina, Mahe, Isabelle, Maida, Rosa, Maly, Radovan, Manrique-Abos, Isabel, Marchena, Pablo J., Martin-Fernandez, Miguel, Martin-Guerra, Javier M., Martin-Romero, Miguel, Mastroiacovo, Danicla, Mazzolai, Lucia, Mellado, Meritxell, Merah, Adel, del Valle Morales, Maria, Moustafa, Fares, Ney, Barbara, Nieto, Jose A., Nunez, Manuel J., del Carmen Olivares, Maria, Otalora, Sonia, Otero, Remedios, Pace, Federica, Parisi, Roberto, Pedrajas, Jose Maria, Pellejero, Galadriel, Perez-Ductor, Cristina, Perez-Jacoiste, Asuncion, Perez-Rus, Gloria, Peris, Maria L., Pesavento, Raffaele, Pesce, Maria L., Porras, Jose A., Prandoni, Paolo, Quinta-Valla, Roberto, Riesco, David, Rivas, Agustina, Rocci, Anna, Rodriguez-Davila, Maria A., Rodriguez-Hernandez, Adela, Rubio, Carmen M., Ruiz-Alcaraz, Sandra, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Ruiz-Torregrosa, Paloma, Sahuquillo, Joan C., Sala-Sainz, Carmen, Salgado, Estuardo, Samperiz, Angel, Sanchez-Munoz-Torrero, Juan F., Sancho, Teresa, Sanoja, Indra D., Siniscalchi, Carmine, Skride, Andris, Soler, Silvia, Sotgiu, Pietro, Soto, Maria J., Surinach, Jose M., Tiraferri, Eros, Tonello, Diego, Torres Maria, Tufano, Antonella, Tzoran, Inns, Uresandi, Fernando, Usandizaga, Esther, Valle, Reins, Vanassche, Thomas, Vandenbriele, Christophe, Vazquez, Fernando J., Verhamme, Peter, Villalobos, Aurora, Visona, Adriana, Ngoc Vo Hong, Yoo, Hugo H., Zdraveska, Marija, Fuentes, Harry E., Tafur, Alfonso J., Caprini, Joseph A., Alatri, Adriano, Trujillo-santos, Javier, Farge-bancel, Dominique, Rosa, Vladimir, Font, Llorenc, Vilaseca, Alicia, Monreal, Manuel, Adarraga, Maria D., Aibar, Miguel A., Aibar, Jesu, Amado, Cristina, Aranda, Carlo, Arcelus, Juan, I, Ballaz, Aitor, Barba, Raquel, Barillari, Giovanni, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Benzidia, Ilham, Bertoletti, Laurent, Blanco-Molina, Angele, Bilora, Franca, Bortoluzzi, Cristiano, Bosevski, Marijan, Bounameaux, Henri, Braester, Andrei, Brandolin, Barbara, Brenner, Benjamin, Bucherini, Eugenio, Hanh My, Bui, Bura-Riviere, Alessandra, Camon, Ana M., Carrasco, Cristina, Castro, Joaquin, Cesta, Alisia, Ciammaichella, Maurizio, Cruz, Javier A., de Ancos, Cristina, del Toro, Jorge, Demelo, Pablo, Dentali, Francesco, del Carmen Diaz-pedroche, Maria, Diaz-Peromingo, Jose A., Di Micco, Pierpaolo, Di Pangrazio, Marco, Ellis, Martin, Encabo, Marta, Falga, Conxita, Falvo, Nicola, Farfan, Ana, Fernandez-Capitan, Carmen, Angeles Fidalgo, Maria, Font, Carme, Fresa, Marco, Furest, Ildefonso, Garcia, Maria A., Garcia-Braoado, Ferran, Garcia-Morillo, Marcia, Garcia-Raso, Aranzazu, Gavin, Olga, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grandone, Elvira, Grau, Enric, Guijarro, Ricardo, Gutierrez, Javier, Gutierrez, Paula, Hernandez-Blasco, Lui, Hu, Adrian, Hirmerova, Jana, Imbalzano, Egidio, Jara-Palomares, Lui, Jaras, Maria J., Jimenez, David, Jou, Ine, Joya, Maria D., Krstevski, Gorjan, Lessiani, Gianfranco, Lima, Jorge, Llamas, Pilar, Lobo, Jose L., Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Lopez-Nunez, Juan J., Lopez-Reyes, Raquel, Lopez-Saez, Juan B., Lorente, Manuel A., Lorenzo, Alicia, Loring, Monica, Lumbierres, Marina, Mahe, Isabelle, Maida, Rosa, Maly, Radovan, Manrique-Abos, Isabel, Marchena, Pablo J., Martin-Fernandez, Miguel, Martin-Guerra, Javier M., Martin-Romero, Miguel, Mastroiacovo, Danicla, Mazzolai, Lucia, Mellado, Meritxell, Merah, Adel, del Valle Morales, Maria, Moustafa, Fare, Ney, Barbara, Nieto, Jose A., Nunez, Manuel J., del Carmen Olivares, Maria, Otalora, Sonia, Otero, Remedio, Pace, Federica, Parisi, Roberto, Pedrajas, Jose Maria, Pellejero, Galadriel, Perez-Ductor, Cristina, Perez-Jacoiste, Asuncion, Perez-Rus, Gloria, Peris, Maria L., Pesavento, Raffaele, Pesce, Maria L., Porras, Jose A., Prandoni, Paolo, Quinta-Valla, Roberto, Riesco, David, Rivas, Agustina, Rocci, Anna, Rodriguez-Davila, Maria A., Rodriguez-Hernandez, Adela, Rubio, Carmen M., Ruiz-Alcaraz, Sandra, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Ruiz-Torregrosa, Paloma, Sahuquillo, Joan C., Sala-Sainz, Carmen, Salgado, Estuardo, Samperiz, Angel, Sanchez-Munoz-Torrero, Juan F., Sancho, Teresa, Sanoja, Indra D., Siniscalchi, Carmine, Skride, Andri, Soler, Silvia, Sotgiu, Pietro, Soto, Maria J., Surinach, Jose M., Tiraferri, Ero, Tonello, Diego, Torres, Maria, Tufano, Antonella, Tzoran, Inn, Uresandi, Fernando, Usandizaga, Esther, Valle, Rein, Vanassche, Thoma, Vandenbriele, Christophe, Vazquez, Fernando J., Verhamme, Peter, Villalobos, Aurora, Visona, Adriana, Ngoc Vo, Hong, Yoo, Hugo H., and Zdraveska, Marija

Subjects
Adult, Male, Internationality, Adolescent, Population, 030204 cardiovascular system & hematology, 030230 surgery, computer.software_genre, Logistic regression, Risk Assessment, Cohort Studies, Young Adult, 03 medical and health sciences, Mortality, Neoplasms, Premature, Thrombosis, 0302 clinical medicine, Predictive Value of Tests, Risk Factors, Humans, Medicine, Registries, Child, education, Aged, education.field_of_study, Framingham Risk Score, Database, business.industry, Infant, Newborn, Infant, Venous Thromboembolism, Odds ratio, Middle Aged, medicine.disease, Pulmonary embolism, Logistic Models, Child, Preschool, Predictive value of tests, Multivariate Analysis, Female, Cardiology and Cardiovascular Medicine, Risk assessment, business, computer, Cohort study
Abstract

BACKGROUND: Proper risk stratification of patients for early mortality after cancer-associated thrombosis may lead to personalized anticoagulation protocols. Therefore, we aimed to derive and validate a scoring system to predict early mortality in this population. To this end, we selected patients with active cancer and thrombosis from the Computerized Registry of Patients with Venous Thromboembolism database. METHODS: The main outcome was all cause mortality within the month following a thrombotic event. We used a simple random selection to split are data in a derivation and a validation cohort. In the derivation cohort, we used recursive partitioning and binary logistic regression to identify groups at risk and to determine the likelihood of the primary outcome. The risk score was developed based on odds ratios from the final multivariate model, and then tested in the validation cohort. RESULTS: In 10,025 eligible patients, we identified 6 predictors of 30-day mortality: leukocytosis =11.5x109/L; platelet count =160x109/L, metastasis, recent immobility, initial presentation as pulmonary embolism and Body Mass Index

Published
2019

3. Comparison of seven prognostic tools to identify low-risk pulmonary embolism in patients aged <50 years

Author

Jara-Palomares, Luis, Alfonso, Maria, Maestre, Ana, Jimenez, David, Garcia-Bragado, Fernando, Font, Carme, Lopez Reyes, Raquel, Hernandez Blasco, Luis, Vidal, Gemma, Otero, Remedios, Monreal, Manuel, Adarraga, Ma Dolores, Angel Aibar, Miguel, Aibar, Jesus, Amado, Cristina, Ignacio Arcelus, Juan, Ballaz, Aitor, Barba, Raquel, Barron, Manuel, Barron-Andres, Belen, Bascunana, Jose, Blanco-Molina, Angeles, Maria Camon, Ana, Canas, Inmaculada, Carrasco, Cristina, Castro, Joaquin, de Ancos, Cristina, Del Toro, Jorge, Demelo, Pablo, Antonio Diaz-Peromingo, Jose, Diaz-Simon, Raquel, Falga, Conxita, Isabel Farfan, Ana, Fernandez-Capitan, Carmen, Del Carmen Fernandez-Criado, Maria, Fernandez-Nunez, Sandra, Fidalgo, Angeles, Font, Llorenc, Angelina Garcia, Maria, Garcia-Morillo, Marcial, Garcia-Raso, Aranzzu, Gavin-Sebastian, Olga, del Carmen Gayol, Maria, Gil-Diaz, Aida, Gomez, Vicente, Gomez-Cuervo, Covadonga, Gonzalez-Martinez, Jose, Grau, Enric, Gutierrez, Javier, Gutierrez-Gonzalez, Sara, Iglesias, Marina, Jaras, Ma Jesus, Jou, Ines, Dolores Joya, Maria, Lalueza, Antonio, Lima, Jorge, Llamas, Pilar, Luis Lobo, Jose, Lopez-Jimenez, Luciano, Lopez-Miguel, Patricia, Jose Lopez-Nunez, Juan, Bosco Lopez-Saez, Juan, Alejandro Lorente, Manuel, Lorenzo, Alicia, Loring, Monica, Madridano, Olga, Javier Marchena, Pablo, Miguel Martin, Javier, Mellado, Meritxell, del Valle Morales, Ma, Luisa Nieto, Maria, Antonio Nieto, Jose, Jesus Nunez, Manuel, Carmen Olivares, Maria, Maria Pedrajas, Jose, Pellejero, Galadriel, Prez-Rus, Gloria, Peris, Ma Luisa, Antonio Porras, Jose, Rivas, Agustina, Angeles Rodriguez-Davila, Ma, Adela Rodriguez-Hernandez, A, Rubio, Carmen Ma, Ruiz-Artacho, Pedro, Ruiz-Ruiz, Justo, Ruiz-Sada, Pablo, Carles Sahuquillo, Joan, Salazar, Vladimir, Samperiz, Angel, Sanchez Munoz-Torrero, Juan Francisco, Sancho, Teresa, Soler, Silvia, Maria Surinach, Jose, Tapia, Elena, Tolosa, Caries, Isabel Torres, Maria, Trujillo-Santos, Javier, Uresandi, Fernando, Valle, Reina, Villares, Paula, Gutierrez, Paula, Javier Vazquez, Fernando, Vilaseca, Alicia, Vanassche, Thomas, Vandenbriele, Christophe, Verhamme, Peter, Hirmerova, Jana, Maly, Radovan, Celis, Gregory, del Pozo, Gustavo, Salgado, Estuardo, Benzidia, Ilham, Bertoletti, Laurent, Bura-Riviere, Alessandra, Debourdeau, Philippe, Farge-Bancel, Dominique, Hij, Adrian, Mahe, Isabelle, Moustafa, Fares, Schellong, Sebastian, Braester, Andrei, Brenner, Benjamin, Tzoran, Inna, Sharif-Kashani, Babak, Barillari, Giovanni, Bilora, Franca, Bortoluzzi, Cristiano, Brandolin, Barbara, Bucherini, Eugenio, Ciammaichella, Maurizio, Dentali, Francesco, Di Micco, Pierpaolo, Maida, Rosa, Mastroiacovo, Daniela, Mumoli, Nicola, Pace, Federica, Parisi, Roberto, Pesavento, Raffaelle, Prandoni, Paolo, Quintavalla, Roberto, Rocci, Anna, Romualdi, Roberta, Sinicalchi, Carmine, Tufano, Antonella, Visona, Adriana, Hong, Ngoc Vo, Zalunardo, Beniamino, Gibietis, Valdis, Kigitovica, Dana, Skride, Andris, Bosevski, Marijan, Bounameaux, Henri, Mazzolai, Lucia, Caprini, Joseph A, Hanh, My Bui, Khanh, Quoc Pham, Reis, Abilio, UCH. Departamento de Medicina (Extinguido), Producción Científica UCH 2019, UCH. Departamento de Medicina y Cirugía, Sanofi España, Bayer, Sociedad Española de Neumología y Cirugía Torácica, Jara-Palomares, L., Alfonso, M., Maestre, A., Jimenez, D., Garcia-Bragado, F., Font, C., Reyes, R. L., Blasco, L. H., Vidal, G., Otero, R., Monreal, M., Adarraga, M. ªD., Aibar, M. A., Aibar, J., Amado, C., Arcelus, J. I., Ballaz, A., Barba, R., Barron, M., Barron-Andres, B., Bascunana, J., Blanco-Molina, A., Camon, A. M., Canas, I., Carrasco, C., Castro, J., de Ancos, C., Del Toro, J., Demelo, P., Diaz-Peromingo, J. A., Diaz-Simon, R., Falga, C., Farfan, A. I., Fernandez-Capitan, C., del Carmen Fernandez-Criado, M., Fernandez-Nunez, S., Fidalgo, A., Font, L., Garcia, M. A., Garcia-Morillo, M., Garcia-Raso, A., Gavin-Sebastian, O., del Carmen Gayol, M., Gil-Diaz, A., Gomez, V., Gomez-Cuervo, C., Gonzalez-Martinez, J., Grau, E., Gutierrez, J., Gutierrez-Gonzalez, S., Iglesias, M., Jaras, M. ªJ., Jou, I., Joya, M. D., Lalueza, A., Lima, J., Llamas, P., Lobo, J. L., Lopez-Jimenez, L., Lopez-Miguel, P., Lopez-Nunez, J. J., Lopez-Saez, J. B., Lorente, M. A., Lorenzo, A., Loring, M., Madridano, O., Marchena, P. J., Martin, J. M., Mellado, M., Morales, M. ªV., Nieto, M. L., Nieto, J. A., Nunez, M. J., Olivares, M. C., Pedrajas, J. M., Pellejero, G., Perez-Rus, G., Peris, M. ªL., Porras, J. A., Rivas, A., Rodriguez-Davila, M. ªA., Adela Rodriguez-Hernandez, A., Rubio, C. M., Ruiz-Artacho, P., Ruiz-Ruiz, J., Ruiz-Sada, P., Sahuquillo, J. C., Salazar, V., Samperiz, A., Munoz-Torrero, J. F. S., Sancho, T., Soler, S., Surinach, J. M., Tapia, E., Tolosa, C., Torres, M. I., Trujillo-Santos, J., Uresandi, F., Valle, R., Villares, P., Gutierrez, P., Vazquez, F. J., Vilaseca, A., Vanassche, T., Vandenbriele, C., Verhamme, P., Hirmerova, J., Maly, R., Celis, G., del Pozo, G., Salgado, E., Benzidia, I., Bertoletti, L., Bura-Riviere, A., Debourdeau, P., Farge-Bancel, D., Hij, A., Mahe, I., Moustafa, F., Schellong, S., Braester, A., Brenner, B., Tzoran, I., Sharif-Kashani, B., Barillari, G., Bilora, F., Bortoluzzi, C., Brandolin, B., Bucherini, E., Ciammaichella, M., Dentali, F., Di Micco, P., Maida, R., Mastroiacovo, D., Mumoli, N., Pace, F., Parisi, R., Pesavento, R., Prandoni, P., Quintavalla, R., Rocci, A., Romualdi, R., Sinicalchi, C., Tufano, A., Visona, A., Hong, N. V., Zalunardo, B., Gibietis, V., Kigitovica, D., Skride, A., Bosevski, M., Bounameaux, H., Mazzolai, L., Caprini, J. A., Bui, H. M., Pham, K. Q., and Reis, A.

Subjects
PREDICTION, Embolism, Aparato circulatorio - Enfermedades - Pronóstico, Cardiovascular system - Diseases - Prognosis, lcsh:Medicine, 030204 cardiovascular system & hematology, 0302 clinical medicine, Retrospective Studie, Risk Factors, 030212 general & internal medicine, lcsh:Science, INDEX, education.field_of_study, Multidisciplinary, Middle Aged, Prognosis, Predictive value, Pulmonary embolism, Multidisciplinary Sciences, DERIVATION, Science & Technology - Other Topics, Major bleeding, Human, medicine.medical_specialty, ANTITHROMBOTIC THERAPY, Disease-free survival, Prognosi, Population, DIAGNOSIS, VALIDATION, Article, 03 medical and health sciences, STRATIFICATION, Thromboembolism, Internal medicine, medicine, Humans, In patient, education, Retrospective Studies, OLDER, VENOUS THROMBOEMBOLISM, Science & Technology, business.industry, Risk Factor, lcsh:R, CLINICAL PRESENTATION, Retrospective cohort study, medicine.disease, Embolia pulmonar - Pronóstico, Shock index, Pulmonary embolism - Prognosis, Spain, lcsh:Q, business, Pulmonary Embolism
Abstract

The RIETE investigators., In young patients with acute pulmonary embolism (PE), the predictive value of currently available prognostic tools has not been evaluated. Our objective was to compare prognostic value of 7 available tools (GPS, PESI, sPESI, Prognostic Algorithm, PREP, shock index and RIETE) in patients aged, This study received funding: SEPAR (1/2016) grupo GeCIR. We express our gratitude to Sanofi Spain for supporting this Registry with an unrestricted educational grant. We also wish to thank Bayer Pharma AG for supporting this Registry. Bayer Pharma AG’s support was limited to the part of RIETE outside Spain, which accounts for a 25.20% of the total patients included in the RIETE Registry.

Published
2019

4. Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.

Author

Puchades, Ramón, Tung-Chen, Yale, Salgueiro, Giorgina, Lorenzo, Alicia, Sancho, Teresa, and Fernández Capitán, Carmen

Subjects
*ARTIFICIAL intelligence, *MACHINE learning, *PULMONARY embolism, *FORECASTING, *PATIENT care
Abstract

• Machine learning (ML) techniques in pulmonary embolism (PE) diagnosis and risk prediction show promise for enhancing clinical decision-making and improving patient care. • ML-based tools have the potential to lead to more accurate and personalized interventions for patients at risk of a life-threatening condition such as PE. • Further research and validation are needed to optimize the performance of these ML approaches for the diagnostic management of PE. [ABSTRACT FROM AUTHOR]

Published
2024
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