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3. Fragment molecular orbital-based variational quantum eigensolver for quantum chemistry in the age of quantum computing

Author

Hocheol Lim, Doo Hyung Kang, Jeonghoon Kim, Aidan Pellow-Jarman, Shane McFarthing, Rowan Pellow-Jarman, Hyeon-Nae Jeon, Byungdu Oh, June-Koo Kevin Rhee, and Kyoung Tai No

Subjects
Medicine, Science
Abstract

Abstract Quantum computers offer significant potential for complex system analysis, yet their application in large systems is hindered by limitations such as qubit availability and quantum hardware noise. While the variational quantum eigensolver (VQE) was proposed to address these issues, its scalability remains limited. Many efforts, including new ansätze and Hamiltonian modifications, have been made to overcome these challenges. In this work, we introduced the novel Fragment Molecular Orbital/Variational Quantum Eigensolver (FMO/VQE) algorithm. This method combines the fragment molecular orbital (FMO) approach with VQE and efficiently utilizes qubits for quantum chemistry simulations. Employing the UCCSD ansatz, the FMO/VQE achieved an absolute error of just 0.053 mHa with 8 qubits in a $${{\text{H}}}_{24}$$ H 24 system using the STO-3G basis set, and an error of 1.376 mHa with 16 qubits in a $${{\text{H}}}_{20}$$ H 20 system with the 6-31G basis set. These results indicated a significant advancement in scalability over conventional VQE, maintaining accuracy with fewer qubits. Therefore, our FMO/VQE method exemplifies how integrating fragment-based quantum chemistry with quantum algorithms can enhance scalability, facilitating more complex molecular simulations and aligning with quantum computing advancements.

Published
2024
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5. Reply by Authors

Author

Alamiri, Jamal, Qi, Robert, Hanna, Kevin F., White, Lindsay A., Ungerer, Garrett N., Kemble, Jayson P., Thompson, Carly A., Potretzke, Aaron M., and Koo, Kevin

Published
2024
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7. Mortality, perioperative complications and surgical timelines in hip fracture patients: Comparison of the Spanish with the non-Spanish Cohort of the HIP ATTACK-1 trial

Author

Veevaete, Laurent, Waroux, Bernard le Polain de, Lavand'homme, Patricia, Cornu, Olivier, Tribak, Karim, Yombi, Jean C, Touil, Nassim, Bhutia, Jigme T, Clinckaert, Carol, Clippeleir, Dirk De, Reul, Maike, Patel, Ameen, Tandon, Vikas, Gauthier, Leslie P, Avram, Victoria R.A., Winemaker, Mitchell, de Beer, Justin, Simpson, Diane L, Worster, Andrew, Alvarado, Kim A, Gregus, Krysten K, Lawrence, Kelly H, Leong, Darryl P, Joseph, Philip G, Magloire, Patrick, Deheshi, Benjamin, Bisland, Stuart, Wood, Thomas J, Tushinski, Daniel M., Wilson, David A.J., Haider, Shariq, Bali, Kamal, Kearon, Clive, Manach, Yannick Le, Adili, Anthony, Tiboni, Maria E, Neary, John D, Cowan, David D, Khanna, Vickas, Zaki, Amna, Farrell, Janet C, MacDonald, Anne Marie, Conen, David, Wong, Steven C.W., Karbassi, Arsha, Wright, Douglas S, Shanthanna, Harsha, Coughlin, Ryan, Khan, Moin, Wikkerink, Spencer, Quraishi, Faraaz A, Lawendy, Abdel-Rahman, Kishta, Waleed, Schemitsch, Emil, Carey, Timothy, Macleod, Mark D, Sanders, David W, Vasarhelyi, Edward, Bartley, Debra, Dresser, George K, Tieszer, Christina, Jenkinson, Richard J, Shadowitz, Steven, Lee, Jacques S, Choi, Stephen, Kreder, Hans J, Nousiainen, Markku, Kunz, Monica R, Tuazon, Ravianne, Shrikumar, Mopina, Ravi, Bheeshma, Wasserstein, David, Stephen, David J.G., Nam, Diane, Henry, Patrick D.G., Wood, Gavin C.A., Mann, Stephen M., Jaeger, Melanie T., Sivilotti, Marco L.A., Smith, Christopher A., Frank, Christopher C., Grant, Heather, Ploeg, Leone, Yach, Jeff D., Harrison, Mark M., Campbell, Aaron R., Bicknell, Ryan T., Bardana, Davide D., Feibel, Robert J., McIlquham, Katie, Gallant, Catherine, Halman, Samantha, Thiruganasambandamoorth, Venkatesh, Ruggiero, Sara, Hadden, William J., Chen, Brian P.J., Coupal, Stephanie A., McMahon, Stephen J., McLean, Lisa M., Shirali, Hemant R., Haider, Syed Y., Smith, Crystal A., Watts, Evan, Santone, David J., Koo, Kevin, Yee, Allan J., Oyenubi, Ademilola N., Nauth, Aaron, Schemitsch, Emil H., Daniels, Timothy R., Ward, Sarah E., Hall, Jeremy A., Ahn, Henry, Whelan, Daniel B., Atrey, Amit, Khoshbin, Amir, Puskas, David, Droll, Kurt, Cullinan, Claude, Payendeh, Jubin, Lefrancois, Tina, Mozzon, Lise, Marion, Travis, Jacka, Michael J., Greene, James, Menon, Matthew, Stiegelmahr, Robert, Dillane, Derek, Irwin, Marleen, Beaupre, Lauren, Coles, Chad P., Trask, Kelly, MacDonald, Shelley, Trenholm, J.A.I., Oxner, William, Richardson, C.G., Dehghan, Niloofar, Sadoughi, Mehdi, Sharma, Achal, White, Neil J., Olivieri, Loretta, Hunt, Stephen B., Turgeon, Thomas R., Bohm, Eric R., Tran, Sarah, Giilck, Stephen M., Hupel, Tom, Guy, Pierre, O'Brien, Peter J., Duncan, Andrew W., Crawford, Gordon A., hou, Junlin, Zhao, Yanrui, Liu, Yang, Shan, Lei, Wu, Anshi, Muñoz, Juan M., Chaudier, Philippe, Douplat, Marion, Fessy, Michel Henri, Piriou, Vincent, Louboutin, Lucie, David, Jean Stephane, Friggeri, Arnaud, Beroud, Sebastien, Fayet, Jean Marie, Landais, Paul, Leung, Frankie Ka Li, Fang, Christian Xinshuo, Yee, Dennis King Hang, Sancheti, Parag K., Pradhan, Chetan V., Patil, Atul A., Puram, Chetan P., Borate, Madhav P., Kudrimoti, Kiran B., Adhye, Bharati A., Dongre, Himanshu V., John, Bobby, Abraham, Valsamma, Pandey, Ritesh A., Rajkumar, Arti, George, Preetha E., Sigamani, Alen, Stephen, Manesh, Chandran, Nitheesh, Ashraf, Mohammed, Georgekutty, A.M., Sulthan, Ahamad S., Adinarayanan, S., Sharma, Deep, Barnawal, Satish P., Swaminathan, Srinivasan, Bidkar, Prasanna U., Mishra, Sandeep K., Menon, Jagdish, M, Niranjan, Zk, Varghese, Hiremath, Santosh A., Nc, Madhusudhan, Jawali, Abhijit, Gnanadurai, Kingsly R., George, Carolin E., Maddipati, Atarao, Kp, Mary, Sharma, Vijay, Farooque, Kamran, Malhotra, Rajesh, Mittal, Samarth, Sawhney, Chavi, Gupta, Babita, Mathur, Purva, Gamangati, Shivanand, Tripathy, Vijaylaxmi, Menon, Prem H., Dhillon, Mandeep S., Chouhan, Devendra K., Patil, Sharanu, Narayan, Ravi, Lal, Purushotham, Bilchod, Prashanth N., Singh, Surya U., Gattu, Uttam V., Dashputra, Ravi P., Rahate, Prashant V., Turiel, Maurizio, Blasio, Giuseppe De, Accetta, Riccardo, Perazzo, Paolo, Stella, Daniele, Bonadies, Marika, Colombo, Chiara, Fozzato, Stefania, Pino, Fabio, Morelli, Ilaria, Colnaghi, Eleonora, Salini, Vincenzo, Denaro, Giuseppe, Beretta, Luigi, Placella, Giacomo, Giardina, Giuseppe, Binda, Mirko, Marcato, Anna, Guzzetti, Luca, Piccirillo, Fabio, Cecconi, Maurizio, Khor, H.M., Lai, Hou Yee, Kumar, C.S., Chee, K.H., Loh, P.S., Tan, Kit Mun, Singh, Simmrat, Foo, Li Lian, Prakasam, Komella, Chaw, Sook Hui, Lee, Meng-Li, Ngim, Joanne H.L., Boon, Huck Wee, Chin, Im Im, Kleinlugtenbelt, Ydo V., Landman, Ellie B.M., Flikweert, Elvira R., Roerdink, Herbert W., Brokelman, Roy B.G., Elskamp-Meijerman, Hannie F., Horst, Maarten R., Cobben, Jan-Hein M.G., Umer, Masood, Begum, Dilshad, Anjum, Anila, Hashmi, Pervaiz M., Ahmed, Tashfeen, Rashid, Haroon U., Khattak, Mujahid J., Rashid, Rizwan H., Lakdawala, Riaz H., Noordin, Shahryar, Juman, Naveed M., Khan, Robyna I., Riaz, Muhammad M., Bokhari, Syedah S., Almas, Ayesha, Wahab, Hussain, Ali, Arif, Khan, Hammad N., Khan, Eraj K., Nur, Aamer Nabi, Janjua, Kholood A., Orakzai, Sajjad H., Khan, Abdus S., Mustafa, Khawaja J., Sohail, Mian A., Umar, Muhammad, Khan, Siddra A., Ashraf, Muhammad, Khan, Muhammad K., Shiraz, Muhammad, Furgan, Ahmad, Ślęczka, Paweł, Dąbek, Piotr, Kumoń, Adam, Satora, Wojciech, Ambroży, Wojciech, Święch, Mariusz, Rycombel, Jacek, Grzelak, Adrian, Nowak- Kózka, Ilona, Gucwa, Jaroslaw, Machala, Waldemar, Ramokgopa, Mmampapatla T., Firth, Gregory B., Karera, Mwalimu, Fourtounas, Maria, Singh, Virsen, Biscardi, Anna, Iqbal, Muhammad N., Campbell, Ryan J., Maluleke, Matimba L., Moller, Carien, Nhlapo, Lerato, Maqungo, Sithombo, Flint, Margot, Nejthardt, Marcin B., Chetty, Sean, Naidoo, Rubendren, Guerra-Farfan, Ernesto, Tomas-Hernandez, Jordi, Garcia-Sanchez, Yaiza, Clua, Miriam Garrido, Molero-Garcia, Vicente, Minguell-Monyart, Joan, Teixidor-Serra, Jordi, Villar-Casares, Maria del Mar, Marsa, Jordi Selga, Porcel-Vazquez, Juan A., Andres-Peiro, Jose-Vicente, Aguilar, Marc, Mestre-Torres, Jaume, Colomina, Maria J., Guilabert, Patricia, Gozalo, M Luisa Paños, Abarca, Luis, Martin, Nuria, Usua, Gemma, Martinez-Ripol, Pedro, Posada, M.A. Gonzalez, Lalueza-Broto, Pilar, Sanchez-Raya, Judith, Camarena, Jorge Nuñez, Fraguas-Castany, Antoni, Balaguer-Castro, Mariano, Torner, Pere, Jornet-Gibert, Montsant, Serrano-Sanz, Jorge, Cámara-Cabrera, Jaume, Salomó-Domènech, Mònica, Yela-Verdú, Christian, Peig-Font, Anna, Ricol, Laura, Carreras-Castañer, Anna, Martínez-Sañudo, Luis, Herranz, Susana, Feijoo-Massó, Carlos, Sianes-Gallén, Mònica, Castillόn, Pablo, Bernaus, Martí, Quintas, Saioa, Gόmez, Olga, Salvador, Jordi, Abarca, Javier, Estrada, Cristina, Novellas, Marga, Torra, Mercè, Dealbert, Alfred, Macho, Oscar, Ivanov, Alexia, Valldosera, Esther, Arroyo, Marta, Pey, Borja, Yuste, Antoni, Mateo, Llorenç, Caso, Julio De, Anaya, Rafael, Higa-Sansone, J.L., Millan, Angelica, Baños, Victoria, Herrera-Mateo, Sergio, Aguado, Hector, Martinez-Municio, Gonzalo, León, Ricardo, Santiago-Maniega, Silvia, Zabalza, Ana, Labrador, Gregorio, Guerado, Enrique, Ramirez-Roldan, Alicia, Cruz, Encarnacion, Cano, Juan R, Bogallo, Jose M, Sangasoongsong, Paphon, Kulachote, Noratep, Sirisreetreerux, Norachart, Pengrung, Nachapan, Chalacheewa, Theerawat, Arnuntasupakul, Vanlapa, Yingchoncharoen, Teerapat, Naratreekoon, Bundit, Kadry, Miriam A, Thayaparan, Surendini, Abdlaziz, Ihab, Aframian, Arash, Imbuldeniya, Arjuna, Movahedi, Roya, Omran, Sherif, Vizcaychipi, Marcela P, Correia, Patricia, Patil, Shashank, Haire, Kevin, Mayor, Amy S.E., Dillingham, Sally, Nicholson, Laura, Elnaggar, Mohamed, John, Joby, Nanjayan, Shashi K, Parker, Martyn J, O'Sullivan, Susan, Marmor, Meir T, Matityahu, Amir, McClellan, Robert T, Comstock, Curt, Ding, Anthony, Toogood, Paul, Slobogean, Gerard, Joseph, Katherine, O'Toole, Robert, Sciadini, Marcus, Ryan, Scott P, Clark, Molly E, Cassidy, Charles, Balonov, Konstantin, Bergese, Sergio D, Phieffer, Laura S, Gonzalez-Zacarias, Alicia A, Marcantonio, Andrew J, Borges, Flavia K., Bhandari, Mohit, Nuñez, Jorge H., Castillon, Pablo, De Caso Rodriguez, Julio, Aguado, Hector J., Popova, Ekaterine, Tonelli, Ana Claudia, Balasubramanian, Kumar, Vincent, Jessica, Harvey, Valerie, Kocaqi, Etri, and Devereaux, P.J.

Published
2024
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13. Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

Author

Luning Zhao, Joshua Goings, Kyujin Shin, Woomin Kyoung, Johanna I. Fuks, June-Koo Kevin Rhee, Young Min Rhee, Kenneth Wright, Jason Nguyen, Jungsang Kim, and Sonika Johri

Subjects
Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between the expressivity of the VQE ansatz versus the number of quantum gates required to implement the ansatz, given the reality of noisy quantum operations on near-term quantum computers. In this work, we consider an orbital-optimized pair-correlated approximation to the unitary coupled cluster with singles and doubles (uCCSD) ansatz and report a highly efficient quantum circuit implementation for trapped-ion architectures. We show that orbital optimization can recover significant additional electron correlation energy without sacrificing efficiency through measurements of low-order reduced density matrices (RDMs). In the dissociation of small molecules, the method gives qualitatively accurate predictions in the strongly-correlated regime when running on noise-free quantum simulators. On IonQ’s Harmony and Aria trapped-ion quantum computers, we run end-to-end VQE algorithms with up to 12 qubits and 72 variational parameters—the largest full VQE simulation with a correlated wave function on quantum hardware. We find that even without error mitigation techniques, the predicted relative energies across different molecular geometries are in excellent agreement with noise-free simulators.

Published
2023
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17. Variational quantum approximate support vector machine with inference transfer

Author

Siheon Park, Daniel K. Park, and June-Koo Kevin Rhee

Subjects
Medicine, Science
Abstract

Abstract A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algorithm that demonstrates empirical sub-quadratic run-time complexity with quantum operations feasible even in NISQ computers. We experimented our algorithm with toy example dataset on cloud-based NISQ machines as a proof of concept. We also numerically investigated its performance on the standard Iris flower and MNIST datasets to confirm the practicality and scalability.

Published
2023
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19. Photon-counting statistics-based support vector machine with multi-mode photon illumination for quantum imaging

Author

Jin-Woo Kim, Jeong-Sik Cho, Christian Sacarelo, Nur Duwi Fat Fitri, Ju-Seong Hwang, and June-Koo Kevin Rhee

Subjects
Medicine, Science
Abstract

Abstract We propose a photon-counting-statistics-based imaging process for quantum imaging where background photon noise can be distinguished and eliminated by photon mode estimation from the multi-mode Bose–Einstein distribution. Photon-counting statistics show multi-mode behavior in a practical, low-cost single-photon-level quantum imaging system with a short coherence time and a long measurement time interval. Different mode numbers in photon-counting probability distributions from single-photon illumination and background photon noise can be classified by a machine learning technique such as a support vector machine (SVM). The proposed photon-counting statistics-based support vector machine (PSSVM) learns the difference in the photon-counting distribution of each pixel to distinguish between photons from the source and the background photon noise to improve the image quality. We demonstrated quantum imaging of a binary-image object with photon illumination from a spontaneous parametric down-conversion (SPDC) source. The experiment results show that the PSSVM applied quantum image improves a peak signal-to-noise ratio (PSNR) gain of 2.89dB and a structural similarity index measure (SSIM) gain of 27.7% compared to the conventional direct single-photon imaging.

Published
2022
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39. Quantum Graph Neural Network Models for Materials Search

Author

Ju-Young Ryu, Eyuel Elala, and June-Koo Kevin Rhee

Subjects
quantum machine learning, quantum graph neural networks, materials search, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85
Abstract

Inspired by classical graph neural networks, we discuss a novel quantum graph neural network (QGNN) model to predict the chemical and physical properties of molecules and materials. QGNNs were investigated to predict the energy gap between the highest occupied and lowest unoccupied molecular orbitals of small organic molecules. The models utilize the equivariantly diagonalizable unitary quantum graph circuit (EDU-QGC) framework to allow discrete link features and minimize quantum circuit embedding. The results show QGNNs can achieve lower test loss compared to classical models if a similar number of trainable variables are used, and converge faster in training. This paper also provides a review of classical graph neural network models for materials research and various QGNNs.

Published
2023
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46. Impact of an orthogeriatric collaborative care model for older adults with hip fracture in a community hospital setting

Author

Lee, Janice C., Koo, Kevin, Wong, Eric K.C., Naqvi, Raza, and Wong, Camilla L.

Subjects
Health care teams -- Quality management, Aged patients -- Care and treatment, Geriatric assessment -- Methods, Hip joint -- Fractures, Delirium -- Risk factors -- Prevention, Postoperative care -- Quality management, Surgery -- Complications, Health, Health care industry
Abstract

Background: Studies have shown that the incidence of postoperative delirium, the hospital length of stay and time to surgery are reduced when older adults with a hip fracture are cared for by a multidisciplinary team providing comprehensive geriatric assessments. Most of these studies have been conducted in academic centres. We sought to determine if implementation of an orthogeriatric collaborative care model would improve key quality of care metrics in a community hospital setting. Methods: This retrospective pre- and postintervention single-site study was conducted in a community hospital in Ontario, Canada. We included consecutive patients aged 65 years or older who were admitted for a hip fracture between June 2015 and June 2017. In the intervention period, a new postoperative order set included a referral to a geriatrician for comprehensive geriatric assessment, with direct implementation of recommendations. Primary outcomes were the incidence of postoperative delirium and length of stay. Secondary outcomes included Health Quality Ontario's quality standards for hip fracture. Results: A total of 212 consecutive patients (95 in the preintervention group and 117 in the postintervention group) were included in the study. The incidence of postoperative delirium (26.3% v. 26.5%, p = 0.98) and length of stay (interquartile range 4-10 v. 5-10 d, p = 0.32) were similar in the preintervention and postintervention groups. There were improvements (p < 0.001) in the rates of asssessment of mental status, falls and bone health; identification of delirium prevention strategies; prescription of vitamin D or calcium or both; and recommendations for antiresorptive therapy. Despite systemic implementation of the orthogeriatric model, only 74.4% of patients in the post intervention group were seen by a geriatric medicine consultant. Conclusion: Although the implementation of an orthogeriatric collaborative care model for older adults with a hip fracture did not reduce the incidence of post operative delirium or length of stay, there were improvements in the rates at which several other key quality standards for hip fracture care were met. Earlier proactive, comprehensive geriatric assessment in a community hospital setting will be the target for further quality improvement initiatives. Contexte : Des etudes ont montre que l'incidence du delire postoperatoire, la duree du sejour a l'hopital et le temps d'attente avant la chirurgie sont reduits lorsque les personnes agees presentant une fracture de la hanche recoivent les soins d'une equipe multidisciplinaire qui realise une evaluation geriatrique complete. La plupart de ces etudes ont ete effectuees dans des centres universitaires. Nous souhaitions donc determiner si l'integration d'un modele de soins orthogeriatriques collaboratif ameliorerait les principaux indicateurs de la qualite des soins dans les hopitaux communautaires. Methodes : Cette etude retrospective comparant 2 groupes de patients avant et apres la mise en oeuvre d'une intervention a ete menee dans un seul hopital communautaire en Ontario, au Canada. Nous avons inclus les patients consecutifs de 65 ans et plus admis pour une fracture de la hanche entre juin 2015 et juin 2017. Pendant la periode d'intervention, un nouvel ensemble d'ordonnances postoperatoires a ete ajoute. Il comprenait l'aiguillage vers un geriatre pour une evaluation geriatrique complete et l'application directe des recommandations. Les principales issues a l'etude etaient l'incidence du delire postoperatoire et la duree de l'hospitalisation. Les issues secondares comprenaient le respect des normes de qualite relatives a la fracture de la hanche de Qualite des services de sante Ontario. Resultats : Au total, 212 patients consecutifs (95 dans le groupe preintervention et 117 dans le groupe postintervention) ont ete inclus dans l'etude. L'incidence du delire postoperatoire (26,3 % c. 26,5 %, p = 0,98) et la duree de l'hospitalisation (ecart interquartile 4-10 jours c. 5-10 jours, p = 0,32) etaient similaires dans les 2 groupes. Il y a eu des ameliorations (p < 0,001) dans le taux d'evaluation de l'etat mental, des chutes et de la sante des os; dans l'integration de strategies de prevention du delire; dans la prescription de vitamine D ou de calcium, ou des deux; et dans les recommandations de traitement antiresorptif. Malgre l'adoption du modele orthogeriatrique dans l'ensemble du centre, seulement 74,4 % des patients du groupe postintervention ont eu une consultation en geriatrie., Conclusion : Bien que la mise en oeuvre d'un modele de soins orthogeriatriques collaboratif chez les personnes agees presentant une fracture de la hanche n'ait pas reduit l'incidence du delire [...]

Published
2021
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50. The prevalence of impostor phenomenon and its association with burnout amongst urologists.

Author

Jefferson, Francis A., Fadel, Anthony, Findlay, Bridget L., Robinson, Maraika O., Seyer, Amanda K., Koo, Kevin, Granberg, Candace F., Boorjian, Stephen A., and Anderson, Katherine T.

Subjects
IMPOSTOR phenomenon, PSYCHOLOGICAL burnout, UROLOGISTS, ODDS ratio, CONFIDENCE intervals
Abstract

Objectives: To characterise the prevalence of impostor phenomenon (IP; tendency for high‐achieving individuals to perceive themselves as fraudulent in their successes) amongst attending staff in urology, to identify variables that predict more severe impostorism, and to study the association of IP with burnout. Subjects and Methods: A survey composed of the Clance Impostor Phenomenon Scale (CIPS), demographic information, practice details, and burnout levels was e‐mailed to urologists via urological subspecialty societies. Survey results were analysed to identify associations between IP severity, survey respondent characteristics, and symptoms of professional burnout. This study was conducted in the United States of America. Results: A total of 614 survey responses were received (response rate 11.0%). In all, 40% (n = 213) of responders reported CIPS scores qualifying as either 'frequent' or 'intense' impostorism (i.e., scores of 61–100). On multivariable analysis, female gender, fewer years in practice (i.e., 0–2 years), and lower academic rank were all independently associated with higher CIPS scores (adjusted P < 0.05). Regarding burnout, 46% of responders reported burnout symptoms. On multivariable analysis, increase in CIPS score was independently associated with higher odds of burnout (odds ratio 1.06, 95% confidence interval 1.04–1.07; P < 0.001). Conclusion: Impostor phenomenon is prevalent in the urological community and is experienced more severely in younger and female urologists. IP is also independently associated with burnout. Increased female representation may improve IP amongst our female colleagues. More work is needed to determine strategies that are effective in mitigating feelings of IP and professional burnout amongst urologists, particularly those earlier in their careers. [ABSTRACT FROM AUTHOR]

Published
2024
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