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Article ; Online: Perianal Paget's Disease.

Thompson, Hannah M / Kim, Jin K

2021 Volume 64, Issue 5, Page(s) 511–515

MeSH term(s)	Administration, Cutaneous ; Aged ; Anal Canal ; Antineoplastic Agents/therapeutic use ; Female ; Humans ; Imiquimod/therapeutic use ; Mohs Surgery ; Paget Disease, Extramammary/diagnosis ; Paget Disease, Extramammary/pathology ; Paget Disease, Extramammary/surgery ; Photochemotherapy ; Radiotherapy ; Skin Neoplasms/diagnosis ; Skin Neoplasms/pathology ; Skin Neoplasms/surgery
Chemical Substances	Antineoplastic Agents ; Imiquimod (P1QW714R7M)
Language	English
Publishing date	2021-03-18
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	212581-x
ISSN	1530-0358 ; 0012-3706
ISSN (online)	1530-0358
ISSN	0012-3706
DOI	10.1097/DCR.0000000000002000
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Article ; Online: ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine.

Kim, Jin K / Chua, Michael / Rickard, Mandy / Lorenzo, Armando

Journal of pediatric urology

2023 Volume 19, Issue 5, Page(s) 598–604

Abstract: Introduction: There is currently no clear consensus on the standards for using large language models such as ChatGPT in academic medicine. Hence, we performed a scoping review of available literature to understand the current state of LLM use in ... ...

Abstract	Introduction: There is currently no clear consensus on the standards for using large language models such as ChatGPT in academic medicine. Hence, we performed a scoping review of available literature to understand the current state of LLM use in medicine and to provide a guideline for future utilization in academia. Materials and methods: A scoping review of the literature was performed through a Medline search on February 16, 2023 using a combination of keywords including artificial intelligence, machine learning, natural language processing, generative pre-trained transformer, ChatGPT, and large language model. There were no restrictions to language or date of publication. Records not pertaining to LLMs were excluded. Records pertaining to LLM ChatBots and ChatGPT were identified and evaluated separately. Among the records pertaining to LLM ChatBots and ChatGPT, those that suggest recommendations for ChatGPT use in academia were utilized to create guideline statements for ChatGPT and LLM use in academic medicine. Results: A total of 87 records were identified. 30 records were not pertaining to large language models and were excluded. 54 records underwent a full-text review for evaluation. There were 33 records related to LLM ChatBots or ChatGPT. Discussion: From assessing these texts, five guideline statements for LLM use was developed: (1) ChatGPT/LLM cannot be cited as an author in scientific manuscripts; (2) If use of ChatGPT/LLM are considered for use in academic work, author(s) should have at least a basic understanding of what ChatGPT/LLM is; (3) Do not use ChatGPT/LLM to produce entirety of text in manuscripts; humans must be held accountable for use of ChatGPT/LLM and contents created by ChatGPT/LLM should be meticulously verified by humans; (4) ChatGPT/LLMs may be used for editing and refining of text; (5) Any use of ChatGPT/LLM should be transparent and should be clearly outlined in scientific manuscripts and acknowledged. Conclusion: Future authors should remain mindful of the potential impact their academic work may have on healthcare and continue to uphold the highest ethical standards and integrity when utilizing ChatGPT/LLM.
MeSH term(s)	Humans ; Artificial Intelligence ; Consensus ; Medicine
Language	English
Publishing date	2023-06-02
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2237683-5
ISSN	1873-4898 ; 1477-5131
ISSN (online)	1873-4898
ISSN	1477-5131
DOI	10.1016/j.jpurol.2023.05.018
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Article ; Online: Response to letter to the Editor re ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine.

Kim, Jin K / Chua, Michael / Rickard, Mandy / Lorenzo, Armando

Journal of pediatric urology

2023 Volume 19, Issue 5, Page(s) 607

Language	English
Publishing date	2023-07-18
Publishing country	England
Document type	Letter ; Comment
ZDB-ID	2237683-5
ISSN	1873-4898 ; 1477-5131
ISSN (online)	1873-4898
ISSN	1477-5131
DOI	10.1016/j.jpurol.2023.07.007
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Article ; Online: Optimizing Screening for Intrastriatal Interventions in Huntington's Disease Using Predictive Models.

Barrett, Matthew J / Negida, Ahmed / Mukhopadhyay, Nitai / Kim, Jin K / Nawaz, Huma / Jose, Jefin / Testa, Claudia

Movement disorders : official journal of the Movement Disorder Society

2024 Volume 39, Issue 5, Page(s) 855–862

Abstract: Background: Intrastriatal delivery of potential therapeutics in Huntington's disease (HD) requires sufficient caudate and putamen volumes. Currently, volumetric magnetic resonance imaging is rarely done in clinical practice, and these data are not ... ...

Abstract	Background: Intrastriatal delivery of potential therapeutics in Huntington's disease (HD) requires sufficient caudate and putamen volumes. Currently, volumetric magnetic resonance imaging is rarely done in clinical practice, and these data are not available in large research cohorts such as Enroll-HD. Objective: The objective of this study was to investigate whether predictive models can accurately classify HD patients who exceed caudate and putamen volume thresholds required for intrastriatal therapeutic interventions. Methods: We obtained and merged data for 1374 individuals across three HD cohorts: IMAGE-HD, PREDICT-HD, and TRACK-HD/TRACK-ON. We imputed missing data for clinical variables with >72% non-missing values and used the model-building algorithm BORUTA to identify the 10 most important variables. A random forest algorithm was applied to build a predictive model for putamen volume >2500 mm Results: The random forest model with 1000 trees and minimal terminal node size of 5 resulted in 83% area under the curve (AUC). The logistic regression model retaining age, CAG repeat size, and symbol digit modalities test-correct had 85.1% AUC. A probability cutoff of 0.8 resulted in 5.4% false positive and 66.7% false negative rates. Conclusions: Using easily obtainable clinical data and machine learning-identified initial predictor variables, random forest, and logistic regression models can successfully identify people with sufficient striatal volumes for inclusion cutoffs. Adopting these models in prescreening could accelerate clinical trial enrollment in HD and other neurodegenerative disorders when volume cutoffs are necessary enrollment criteria. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
MeSH term(s)	Humans ; Huntington Disease/diagnostic imaging ; Male ; Female ; Middle Aged ; Magnetic Resonance Imaging/methods ; Adult ; Putamen/diagnostic imaging ; Caudate Nucleus/diagnostic imaging ; Caudate Nucleus/pathology ; Aged ; Corpus Striatum/diagnostic imaging ; Corpus Striatum/pathology ; Cohort Studies
Language	English
Publishing date	2024-03-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	607633-6
ISSN	1531-8257 ; 0885-3185
ISSN (online)	1531-8257
ISSN	0885-3185
DOI	10.1002/mds.29749
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Article ; Online: ASO Author Reflections: Identifying Rectal Cancer Patients Suitable for Watch-and-Wait.

Kim, Jin K / Garcia-Aguilar, Julio

Annals of surgical oncology

2021 Volume 29, Issue 2, Page(s) 1180

MeSH term(s)	Chemoradiotherapy ; Chemoradiotherapy, Adjuvant ; Humans ; Neoadjuvant Therapy ; Rectal Neoplasms/therapy ; Watchful Waiting
Language	English
Publishing date	2021-10-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	1200469-8
ISSN	1534-4681 ; 1068-9265
ISSN (online)	1534-4681
ISSN	1068-9265
DOI	10.1245/s10434-021-10878-2
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Article ; Online: Assessing the role of upside-down (inverted) renal allografts in pediatric kidney transplantation: a propensity-score matched analysis.

Kim, Jin K / Yadav, Priyank / Chua, Michael E / Rickard, Mandy / Lorenzo, Armando J

International urology and nephrology

2023 Volume 55, Issue 4, Page(s) 861–866

Abstract: Objective: To evaluate the implications of inverted (upside-down) kidney configuration in pediatric renal transplantation employing a comparative analysis with at least 1-year follow-up.: Methods: Patients who underwent kidney transplantation at our ... ...

Abstract	Objective: To evaluate the implications of inverted (upside-down) kidney configuration in pediatric renal transplantation employing a comparative analysis with at least 1-year follow-up. Methods: Patients who underwent kidney transplantation at our institution between January 2011 and June 2021 were reviewed. Patients who had an inverted renal transplant were propensity-score matched (PSM) in 1:2 ratio with those who had traditional orientation transplant. The outcomes assessed included delayed graft function (DGF), urine leak, lymphocele, rejection, allograft calculus, ureteric stricture, and nadir creatinine. Results: A total of 24 patients with inverted orientation were identified. Following PSM, 41 patients were matched, with exclusions due to incompatible propensity scores. Baseline characteristics were appropriately matched, and no significant differences were noted between the two groups. There were no differences in: delayed graft function (0/24 vs. 3/41, p = 0.290), urine leak (3/24 vs. 2/41, p = 0.350), lymphocele (2/24 vs. 4/41, p = 1.000), rejection (3/24 vs. 5/41, p = 1.000), graft calculus (2/24 vs. 0/41, p = 0.133), and ureteric stricture (0/24 vs. 2/41, p = 0.527). The two cases of renal calculus seen in the inverted transplant group occurred on post-operative day 13 and 1584, both were managed without complications. There was no difference in nadir creatinine (median 34umol/L IQR23-57 vs. 35 umol/L IQR 20-50, p = 0.624) or time to nadir creatinine (8 days IQR 6-12 vs. 8 days IQR 7-28, p = 0.315). Conclusion: Inverting a renal allograft does not appear to significantly contribute to increased risk of post-operative adverse outcomes. When aiming to achieve the best anatomical placement to secure a comfortable vascular anastomosis, inverting the allograft should be considered.
MeSH term(s)	Humans ; Child ; Kidney Transplantation/adverse effects ; Delayed Graft Function ; Creatinine ; Constriction, Pathologic/etiology ; Lymphocele/etiology ; Propensity Score ; Graft Rejection/epidemiology ; Graft Rejection/etiology ; Retrospective Studies ; Kidney/surgery ; Allografts ; Calculi/etiology ; Graft Survival
Chemical Substances	Creatinine (AYI8EX34EU)
Language	English
Publishing date	2023-02-01
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	204048-7
ISSN	1573-2584 ; 0301-1623 ; 0042-1162
ISSN (online)	1573-2584
ISSN	0301-1623 ; 0042-1162
DOI	10.1007/s11255-023-03485-5
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Article ; Online: Management of Solid Pseudopapillary Tumors of the Pancreas: Experience from a Single Institution.

Kim, Jin K / Dave, Nikita / Chokshi, Ravi J

The American surgeon

2020 Volume 86, Issue 2, Page(s) e57–e58

MeSH term(s)	Adenocarcinoma, Papillary/surgery ; Adult ; Female ; Humans ; Magnetic Resonance Imaging ; Middle Aged ; Pancreatic Neoplasms/surgery ; Tomography, X-Ray Computed ; Young Adult
Language	English
Publishing date	2020-02-27
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	202465-2
ISSN	1555-9823 ; 0003-1348
ISSN (online)	1555-9823
ISSN	0003-1348
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Article ; Online: Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy.

Thompson, Hannah M / Kim, Jin K / Jimenez-Rodriguez, Rosa M / Garcia-Aguilar, Julio / Veeraraghavan, Harini

Diseases of the colon and rectum

2022 Volume 66, Issue 3, Page(s) 383–391

Abstract: Background: A barrier to the widespread adoption of watch-and-wait management for locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response endoscopically in patients who have completed total neoadjuvant therapy ( ... ...

Abstract	Background: A barrier to the widespread adoption of watch-and-wait management for locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response endoscopically in patients who have completed total neoadjuvant therapy (chemoradiotherapy and systemic chemotherapy). Objective: This study aimed to develop a novel method of identifying the presence or absence of a tumor in endoscopic images using deep convolutional neural network-based automatic classification and to assess the accuracy of the method. Design: In this prospective pilot study, endoscopic images obtained before, during, and after total neoadjuvant therapy were grouped on the basis of tumor presence. A convolutional neural network was modified for probabilistic classification of tumor versus no tumor and trained with an endoscopic image set. After training, a testing endoscopic imaging set was applied to the network. Settings: The study was conducted at a comprehensive cancer center. Patients: Images were analyzed from 109 patients who were diagnosed with locally advanced rectal cancer between December 2012 and July 2017 and who underwent total neoadjuvant therapy. Main outcome measures: The main outcomes were accuracy of identifying tumor presence or absence in endoscopic images measured as area under the receiver operating characteristic for the training and testing image sets. Results: A total of 1392 images were included; 1099 images (468 of no tumor and 631 of tumor) were for training and 293 images (151 of no tumor and 142 of tumor) for testing. The area under the receiver operating characteristic for training and testing was 0.83. Limitations: The study had a limited number of images in each set and was conducted at a single institution. Conclusions: The convolutional neural network method is moderately accurate in distinguishing tumor from no tumor. Further research should focus on validating the convolutional neural network on a large image set. See Video Abstract at http://links.lww.com/DCR/B959 . Modelo basado en aprendizaje profundo para identificar tumores en imgenes endoscpicas de pacientes con cncer de recto localmente avanzado tratados con terapia neoadyuvante total: ANTECEDENTES:Una barrera para la aceptación generalizada del tratamiento de Observar y Esperar para el cáncer de recto localmente avanzado, es la imprecisión y la variabilidad en la identificación de la respuesta tumoral endoscópica, en pacientes que completaron la terapia neoadyuvante total (quimiorradioterapia y quimioterapia sistémica).OBJETIVO:Desarrollar un método novedoso para identificar la presencia o ausencia de un tumor en imágenes endoscópicas utilizando una clasificación automática basada en redes neuronales convolucionales profundas y evaluar la precisión del método.DISEÑO:Las imágenes endoscópicas obtenidas antes, durante y después de la terapia neoadyuvante total se agruparon en base de la presencia del tumor. Se modificó una red neuronal convolucional para la clasificación probabilística de tumor versus no tumor y se entrenó con un conjunto de imágenes endoscópicas. Después del entrenamiento, se aplicó a la red un conjunto de imágenes endoscópicas de prueba.ENTORNO CLINICO:El estudio se realizó en un centro oncológico integral.PACIENTES:Analizamos imágenes de 109 pacientes que fueron diagnosticados de cáncer de recto localmente avanzado entre diciembre de 2012 y julio de 2017 y que se sometieron a terapia neoadyuvante total.PRINCIPALES MEDIDAS DE VALORACION:La precisión en la identificación de la presencia o ausencia de tumores en imágenes endoscópicas medidas como el área bajo la curva de funcionamiento del receptor para los conjuntos de imágenes de entrenamiento y prueba.RESULTADOS:Se incluyeron mil trescientas noventa y dos imágenes: 1099 (468 sin tumor y 631 con tumor) para entrenamiento y 293 (151 sin tumor y 142 con tumor) para prueba. El área bajo la curva operativa del receptor para entrenamiento y prueba fue de 0,83.LIMITACIONES:El estudio tuvo un número limitado de imágenes en cada conjunto y se realizó en una sola institución.CONCLUSIÓN:El método de la red neuronal convolucional es moderadamente preciso para distinguir el tumor de ningún tumor. La investigación adicional debería centrarse en validar la red neuronal convolucional en un conjunto de imágenes mayor. Consulte Video Resumen en http://links.lww.com/DCR/B959 . (Traducción -Dr. Fidel Ruiz Healy ).
MeSH term(s)	Humans ; Neoadjuvant Therapy/methods ; Retrospective Studies ; Prospective Studies ; Deep Learning ; Pilot Projects ; Rectal Neoplasms/diagnostic imaging ; Rectal Neoplasms/therapy ; Rectal Neoplasms/pathology ; Neoplasms, Second Primary
Language	English
Publishing date	2022-04-01
Publishing country	United States
Document type	Video-Audio Media ; Journal Article
ZDB-ID	212581-x
ISSN	1530-0358 ; 0012-3706
ISSN (online)	1530-0358
ISSN	0012-3706
DOI	10.1097/DCR.0000000000002295
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Article ; Online: Sentinel lymph node biopsy for head and neck cutaneous squamous cell carcinoma using the Brigham and Women's staging system: a cost analysis.

Quinn, Patrick L / Kim, Jin K / Prasath, Vishnu / Panse, Neal / Knackstedt, Thomas J / Chokshi, Ravi J

Archives of dermatological research

2022 Volume 315, Issue 3, Page(s) 371–378

Abstract: The objective is to determine the cost-effectiveness of sentinel lymph node biopsy (SLNB) for cutaneous squamous cell carcinoma (CSCC) according to the Brigham and Women's Hospital (BWH) Tumor Staging system. A decision analysis was utilized to examine ... ...

Abstract	The objective is to determine the cost-effectiveness of sentinel lymph node biopsy (SLNB) for cutaneous squamous cell carcinoma (CSCC) according to the Brigham and Women's Hospital (BWH) Tumor Staging system. A decision analysis was utilized to examine costs and outcomes associated with the use of SLNB in patients with high-risk head and neck CSCC. Decision tree outcome probabilities were obtained from published literature. Costs were derived from Medicare reimbursement rates (US$) and effectiveness was represented by quality-adjusted life-years (QALYs). The primary outcome was the incremental cost-effectiveness ratio (ICER), with a willingness-to-pay set at $100,000 per QALY gained. SLNB was found to be a cost-effective tool for patients with T3 tumors, with an ICER of $18,110.57. Withholding SLNB was the dominant strategy for both T2a and T2b lesions, with ICERs of - $2468.99 and - $16,694.00, respectively. Withholding SLNB remained the dominant strategy when examining immunosuppressed patients with T2a or T2b lesions. In patients with head and neck CSCC, those with T3 or T2b lesions with additional risk factors not accounted for in the staging system alone, may be considered for SLNB, while in other tumor stages it may be impractical. SLNB should only be offered on an individual patient basis.
MeSH term(s)	Aged ; Humans ; Female ; United States ; Sentinel Lymph Node Biopsy ; Carcinoma, Squamous Cell/diagnosis ; Carcinoma, Squamous Cell/pathology ; Skin Neoplasms/pathology ; Medicare ; Squamous Cell Carcinoma of Head and Neck/pathology ; Head and Neck Neoplasms/diagnosis ; Head and Neck Neoplasms/pathology ; Costs and Cost Analysis ; Neoplasm Staging
Language	English
Publishing date	2022-03-18
Publishing country	Germany
Document type	Journal Article
ZDB-ID	130131-7
ISSN	1432-069X ; 0340-3696
ISSN (online)	1432-069X
ISSN	0340-3696
DOI	10.1007/s00403-022-02347-x
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Article ; Online: Attaining competency and proficiency in open pyeloplasty: a learning curve configuration using cumulative sum analysis.

Kim, Jin K / Chua, Michael E / Rickard, Mandy / Milford, Karen / Keefe, Daniel T / Lorenzo, Armando J

International urology and nephrology

2022 Volume 54, Issue 8, Page(s) 1857–1863

Abstract: Introduction: The learning curves for minimally invasive pyeloplasty techniques have been described in the past. However, the learning curve in achieving competency in open pyeloplasty has not been described. Hence, we aim to evaluate a single surgeon ... ...

Abstract	Introduction: The learning curves for minimally invasive pyeloplasty techniques have been described in the past. However, the learning curve in achieving competency in open pyeloplasty has not been described. Hence, we aim to evaluate a single surgeon series of open pyeloplasty technique using the cumulative sum (CUSUM) methodology. Methods: We retrospectively reviewed all open pyeloplasties performed by a single surgeon (AJL) between January 2008 and March 2020. Collected variables included: sex, age at surgery, operative time, hospital stay, pre-operative ultrasound, pre-operative nuclear scans, pre-operative anteroposterior diameter, associated anomalies, laterality (left or right), type of stent, pre-operative split renal function, and duration of follow-up. A CUSUM analysis was used: the highest peak, plateau and downward trends for complications (defined as Clavien-Dindo classification ≥ 3b) were identified on the plot and set as the transition points between five phases (learning, competency, proficiency, case-mix, and mastery). Results: Based on the CUSUM analysis, the index surgeon reached the competency phase after performing their 13th open pyeloplasty and became proficient after the 70th case. In the case-mix phase (104th-126th cases), where the surgeon may be performing more complex cases while increasing trainee involvement, there was a slight increase in complication rates. After the 126th case, the surgeon entered the mastery phase, where there was consistent decreasing trend in complications. Conclusions: Surgeons performing open pyeloplasty in children following completion of their surgical training will continue to learn through their early cases until achieving competency. Technical competency may be reached after the 13th case. In this report, we looked at the number of cases to become proficient in open pyeloplasty procedure in children. A surgeon may achieve technical proficiency in the procedure after their 13th case.
MeSH term(s)	Child ; Humans ; Kidney/physiology ; Laparoscopy/methods ; Learning Curve ; Operative Time ; Retrospective Studies ; Ureter
Language	English
Publishing date	2022-05-19
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	204048-7
ISSN	1573-2584 ; 0301-1623 ; 0042-1162
ISSN (online)	1573-2584
ISSN	0301-1623 ; 0042-1162
DOI	10.1007/s11255-022-03229-x
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