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Integration of novel artificial intelligence tools in pediatric urologic practice. 新型人工智能工具在儿科泌尿外科实践中的整合。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-03-10 DOI: 10.1097/MOU.0000000000001275
Lauren M McGee, Elizabeth Soo, Casey A Seideman
{"title":"Integration of novel artificial intelligence tools in pediatric urologic practice.","authors":"Lauren M McGee, Elizabeth Soo, Casey A Seideman","doi":"10.1097/MOU.0000000000001275","DOIUrl":"10.1097/MOU.0000000000001275","url":null,"abstract":"<p><strong>Purpose of review: </strong>There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pediatric urologists, previews up-and-coming technologies, and highlights the latest studies investigating benefits and limitations of AI in practice.</p><p><strong>Recent findings: </strong>Imaging-driven AI software and clinical prediction tools are two of the more exciting applications of AI for pediatric urologists. As nuanced pattern recognition improves in trained computer models, pediatric urologists will be able to better counsel and risk stratify patients with chronic diseases and surgical needs. AI is also being extensively used in product development for enuresis treatment. Large language models such as ChatGPT continue to be of strong interest as a patient-facing education tool, but it lacks the accuracy needed to serve as a suitable alternative to human response.</p><p><strong>Summary: </strong>AI is increasingly investigated for use across healthcare fields, including pediatric urology. Use of AI and machine learning (ML) is being explored for patient interface, imaging assessment, outcomes prediction, and product development. Though still in preclinical stages for most systems, ML presents as a promising new clinical tool with potential to shape healthcare systems and medical practice.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"230-235"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ethical aspects of artificial intelligence: what urologists need to know. 人工智能的伦理方面：泌尿科医生需要知道的。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-03-20 DOI: 10.1097/MOU.0000000000001278
Rounak Verma, Findlay Macaskill, Anna Kim, Nicholas Raison, Prokar Dasgupta
{"title":"Ethical aspects of artificial intelligence: what urologists need to know.","authors":"Rounak Verma, Findlay Macaskill, Anna Kim, Nicholas Raison, Prokar Dasgupta","doi":"10.1097/MOU.0000000000001278","DOIUrl":"10.1097/MOU.0000000000001278","url":null,"abstract":"<p><strong>Purpose of review: </strong>The integration of artificial intelligence in urology presents both transformative opportunities and ethical dilemmas. As artificial intelligence driven tools become more prevalent in diagnostics, robotic-assisted surgeries, and patient monitoring, it is crucial for urologists to understand the ethical implications of these technologies. This review examines key ethical concerns surrounding artificial intelligence in urology, including bias, transparency, accountability, and data privacy.</p><p><strong>Recent findings: </strong>Recent literature highlights algorithmic bias as a significant challenge, where artificial intelligence models trained on nondiverse datasets may produce inequitable outcomes. The \"black-box\" nature of artificial intelligence systems complicates transparency and interpretability, raising concerns about clinician and patient trust. Emerging reporting standards, such as STREAM-URO and IDEAL frameworks, and WHO Guidelines provide structured approaches for ethical artificial intelligence integration in urology.</p><p><strong>Summary: </strong>The ethical deployment of artificial intelligence in urology requires a balanced approach that prioritizes fairness, accountability, and patient autonomy. Clinicians must advocate for explainable artificial intelligence, ensure equitable access, and integrate human oversight into artificial intelligence assisted decision-making. Future research should focus on improving dataset diversity, enhancing artificial intelligence interpretability, and establishing robust ethical guidelines to ensure that artificial intelligence advances align with medical ethics and patient-centered care.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"224-229"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11970583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The advance of artificial intelligence in outpatient urology: current applications and future directions. 人工智能在门诊泌尿外科的进展：目前的应用和未来的方向。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-03-20 DOI: 10.1097/MOU.0000000000001282
Jacob S Hershenhouse, Karanvir S Gill, Jamal Nabhani
{"title":"The advance of artificial intelligence in outpatient urology: current applications and future directions.","authors":"Jacob S Hershenhouse, Karanvir S Gill, Jamal Nabhani","doi":"10.1097/MOU.0000000000001282","DOIUrl":"10.1097/MOU.0000000000001282","url":null,"abstract":"<p><strong>Purpose of review: </strong>Prudent integration of artificial intelligence (AI) into outpatient urology has already begun to revolutionize clinical workflows, improve administrative efficiency, and automate mundane and laborious tasks in the clinic setting.</p><p><strong>Recent findings: </strong>This narrative review explores the current applications of AI in outpatient settings, focusing on previsit, during-visit, and postvisit processes that may improve the experiences of clinicians and patients. We discuss the use of AI in administrative tasks, clinical decision support, documentation, and patient communication. Additionally, we highlight future directions for AI in urology, including integrated solutions that span prediagnosis to posttreatment and disease surveillance. While AI shows promise in reducing physician burden and increasing efficiency, challenges remain.</p><p><strong>Summary: </strong>Taking lessons from the introduction of the electronic health record (EHR), end-to-end AI integration will require rigorous validation, workflow adaptation, and iterant tailoring to meet the demands of the clinic setting before widespread adoption can occur.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"214-218"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative artificial intelligence powered chatbots in urology. 泌尿科人工智能生成聊天机器人。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-03-19 DOI: 10.1097/MOU.0000000000001280
Zohaib Khawaja, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes
{"title":"Generative artificial intelligence powered chatbots in urology.","authors":"Zohaib Khawaja, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes","doi":"10.1097/MOU.0000000000001280","DOIUrl":"10.1097/MOU.0000000000001280","url":null,"abstract":"<p><strong>Purpose of review: </strong>The integration of artificial intelligence (AI) into healthcare has significantly impacted the way healthcare is delivered, particularly with generative AI-powered chatbots. This review aims to provide an analysis of the application, benefits, challenges and future of generative AI-powered chatbots in Urology.</p><p><strong>Recent findings: </strong>Recent advancements in AI have led to significant improvements in chatbot performance and applicability in healthcare. Generative AI chatbots have shown promise in patient education, symptom assessment, administrative tasks, and clinical decision-making in urology. Studies demonstrate their ability to reduce clinic burden, improve patient satisfaction, and enhance accessibility. However, concerns remain about accuracy, data privacy, and integration into clinical workflows.</p><p><strong>Summary: </strong>Increasing number of studies have shown the ability of generative AI to enhance urological practice. As technology advances, generative AI is likely to integrate into multiple aspects of urological practice. Concerns with generative AI will need to be examined before safe implementation.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"243-249"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial introduction. 编辑介绍。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-04-03 DOI: 10.1097/MOU.0000000000001277
{"title":"Editorial introduction.","authors":"","doi":"10.1097/MOU.0000000000001277","DOIUrl":"https://doi.org/10.1097/MOU.0000000000001277","url":null,"abstract":"","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":"35 3","pages":"v"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial intelligence and patient education. 人工智能和病人教育。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-02-12 DOI: 10.1097/MOU.0000000000001267
Olivia Paluszek, Stacy Loeb
{"title":"Artificial intelligence and patient education.","authors":"Olivia Paluszek, Stacy Loeb","doi":"10.1097/MOU.0000000000001267","DOIUrl":"10.1097/MOU.0000000000001267","url":null,"abstract":"<p><strong>Purpose of review: </strong>Artificial intelligence (AI) chatbots are increasingly used as a source of information. Our objective was to review the literature on their use for patient education in urology.</p><p><strong>Recent findings: </strong>There are many published studies examining the quality of AI chatbots, most commonly ChatGPT. In many studies, responses from chatbots had acceptable accuracy but were written at a difficult reading level without specific prompts to enhance readability. A few studies have examined AI chatbots for other types of patient education, such as creating lay summaries of research publications or generating handouts.</p><p><strong>Summary: </strong>Artificial intelligence chatbots may provide an adjunctive source of patient education in the future, particularly if prompted to provide results with better readability. In addition, they may be used to rapidly generate lay research summaries, leaflets or other patient education materials for final review by experts.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"219-223"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11964839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143406052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Patient-reported outcomes in genital gender-affirming surgery. 生殖器性别确认手术中患者报告的结果。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-01-29 DOI: 10.1097/MOU.0000000000001262
Nkiruka Odeluga, Robert Fisch, Tenny R Zhang, Nnenaya Mmonu
{"title":"Patient-reported outcomes in genital gender-affirming surgery.","authors":"Nkiruka Odeluga, Robert Fisch, Tenny R Zhang, Nnenaya Mmonu","doi":"10.1097/MOU.0000000000001262","DOIUrl":"10.1097/MOU.0000000000001262","url":null,"abstract":"<p><strong>Purpose of review: </strong>We reviewed the latest articles in patient-reported outcomes as it relates to genital gender-affirming surgery (GGAS) and provide a narrative summary of each article.</p><p><strong>Recent findings: </strong>The current landscape of patient-reported outcomes measures (PROMs) within GGAS largely consists of various ad hoc questionnaires. Within the last two years, one new PROM, validated within the transgender and gender-diverse (TGD) community, have been described.</p><p><strong>Summary: </strong>Patient-reported outcomes measures seek to elucidate the questions and answers of particular interest to patients and stakeholders of a particular population. To date, within GGAS, surgeon-reported outcomes and nonvalidated patient-reported outcomes comprise the bulk of the literature on the subject. However, there is growing interest in PROMs developed with TGD collaboration within all phases of the research process. Three new PROMs designed with and for the TGD community, are described which provides hope for continued progression of the field toward patient-centered and patient-collaborative research.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"259-278"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Man and machine: exploring the intersection of artificial intelligence and men's health. 人与机器：探索人工智能与男性健康的交叉点。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-02-27 DOI: 10.1097/MOU.0000000000001274
Evan J Panken, Akash U Patel, Josh Schammel, Justin M Dubin
{"title":"Man and machine: exploring the intersection of artificial intelligence and men's health.","authors":"Evan J Panken, Akash U Patel, Josh Schammel, Justin M Dubin","doi":"10.1097/MOU.0000000000001274","DOIUrl":"10.1097/MOU.0000000000001274","url":null,"abstract":"<p><strong>Purpose of review: </strong>Explore the current state of artificial intelligence in the Men's Health space.</p><p><strong>Recent findings: </strong>Artificial intelligence is emerging in the field of Men's Health with recent publications highlighting a role for optimization of male infertility diagnostics and treatment, clinical predictive tools, patient education, and improvements in clinical workflow.</p><p><strong>Summary: </strong>Artificial intelligence is set to be a prime instrument in the advancement of both patient care and patient education in the Men's Health space.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"236-242"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Current role of salvage radiotherapy in oligometastatic prostate cancer at the time of recurrence. 目前补救性放疗在前列腺癌复发时的作用。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-03-03 DOI: 10.1097/MOU.0000000000001273
Victor Duque Santana, Ignacio Moreno Perez, Noelia Sanmamed Salgado
{"title":"Current role of salvage radiotherapy in oligometastatic prostate cancer at the time of recurrence.","authors":"Victor Duque Santana, Ignacio Moreno Perez, Noelia Sanmamed Salgado","doi":"10.1097/MOU.0000000000001273","DOIUrl":"10.1097/MOU.0000000000001273","url":null,"abstract":"<p><strong>Purpose of review: </strong>To review the evidence for metastasis-directed therapy (MDT) in oligometastatic (OM) prostate cancer (PC) and future directions in this clinical setting.</p><p><strong>Recent findings: </strong>The indications for radiotherapy in PC have significantly increased over the last decade. The treatment of OM disease has been gaining popularity thanks to new molecular imaging techniques that allow more accurate identification of OM patients who may benefit from MDT. stereotactic body radiation therapy can offer potentially curative treatment with low toxicity rates. Although most published MDT studies focus on hormone-sensitive (HS) PC in the setting of recurrence, promising results have emerged in recent years even in patients with castration resistance.</p><p><strong>Summary: </strong>MDT has emerged as an effective treatment option for OM PC patients with favorable oncological outcomes and a low toxicity profile. Evidence suggests that MDT can be used to delay androgen deprivation therapy or in combination with systemic therapy to potentially improve efficacy outcomes. Molecular stratification is needed to determine who will benefit from treatment intensification with MDT +/- systemic therapies.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"308-312"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143540345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative artificial intelligence in oncology. 肿瘤学中的生成式人工智能。
IF 2.1 3区 医学
Current Opinion in Urology Pub Date : 2025-05-01 Epub Date: 2025-02-28 DOI: 10.1097/MOU.0000000000001272
Conner Ganjavi, Sam Melamed, Brett Biedermann, Michael B Eppler, Severin Rodler, Ethan Layne, Francesco Cei, Inderbir Gill, Giovanni E Cacciamani
{"title":"Generative artificial intelligence in oncology.","authors":"Conner Ganjavi, Sam Melamed, Brett Biedermann, Michael B Eppler, Severin Rodler, Ethan Layne, Francesco Cei, Inderbir Gill, Giovanni E Cacciamani","doi":"10.1097/MOU.0000000000001272","DOIUrl":"10.1097/MOU.0000000000001272","url":null,"abstract":"<p><strong>Purpose of review: </strong>By leveraging models such as large language models (LLMs) and generative computer vision tools, generative artificial intelligence (GAI) is reshaping cancer research and oncologic practice from diagnosis to treatment to follow-up. This timely review provides a comprehensive overview of the current applications and future potential of GAI in oncology, including in urologic malignancies.</p><p><strong>Recent findings: </strong>GAI has demonstrated significant potential in improving cancer diagnosis by integrating multimodal data, improving diagnostic workflows, and assisting in imaging interpretation. In treatment, GAI shows promise in aligning clinical decisions with guidelines, optimizing systemic therapy choices, and aiding patient education. Posttreatment, GAI applications include streamlining administrative tasks, improving follow-up care, and monitoring adverse events. In urologic oncology, GAI shows promise in image analysis, clinical data extraction, and outcomes research. Future developments in GAI could stimulate oncologic discovery, improve clinical efficiency, and enhance the patient-physician relationship.</p><p><strong>Summary: </strong>Integration of GAI into oncology has shown some ability to enhance diagnostic accuracy, optimize treatment decisions, and improve clinical efficiency, ultimately strengthening the patient-physician relationship. Despite these advancements, the inherent stochasticity of GAI's performance necessitates human oversight, more specialized models, proper physician training, and robust guidelines to ensure its well tolerated and effective integration into oncologic practice.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":"205-213"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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