Clinics in Colon and Rectal Surgery最新文献_第2页

AI Clinical Decision Tools in Multidisciplinary Team Discussions for Colorectal Cancer. AI临床决策工具在结直肠癌多学科小组讨论中的应用。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-12-30 eCollection Date: 2026-05-01 DOI: 10.1055/a-2769-1363

Nir Horesh, Anjelli Wignakumar, Sameh Hany Emile

{"title":"AI Clinical Decision Tools in Multidisciplinary Team Discussions for Colorectal Cancer.","authors":"Nir Horesh, Anjelli Wignakumar, Sameh Hany Emile","doi":"10.1055/a-2769-1363","DOIUrl":"10.1055/a-2769-1363","url":null,"abstract":"Multidisciplinary team (MDT) discussions have become a cornerstone of colorectal cancer (CRC) management, integrating the expertise of surgeons, oncologists, radiologists, pathologists, and allied health professionals to facilitate personalized, evidence-based care. However, increasing complexity in treatment options, particularly with the rise of neoadjuvant strategies and immunotherapies, has rendered decision-making more challenging. Traditional tools-including clinical guidelines, risk calculators, and nomograms-offer structured decision support but lack flexibility and personalization. Artificial intelligence (AI), particularly through machine learning (ML), radiomics, and large language models (LLMs), is emerging as a transformative adjunct to clinical decision-making in CRC. Machine learning models have demonstrated strong predictive performance for treatment response, recurrence risk, and surgical complications, while radiomics and deep learning have improved diagnostic accuracy and treatment response prediction using imaging and endoscopy. LLMs such as ChatGPT have shown promising concordance with MDT recommendations in early studies, especially for standard clinical scenarios. However, limitations remain in handling complex, nuanced cases. Despite their growing capabilities, AI and LLMs are not yet integrated into routine MDT workflows due to concerns about interpretability, regulatory oversight, and ethical challenges. Future directions include developing real-time, multimodal AI-MDT platforms, improving explainability, ensuring equitable data representation, and integrating AI training into medical education. This review outlines current evidence on AI integration within CRC MDTs, highlighting both its clinical potential and the barriers that must be addressed to ensure safe, effective, and equitable implementation. Ultimately, AI is poised to augment-not replace-human expertise, enhancing the consistency, efficiency, and personalization of multidisciplinary CRC care.","PeriodicalId":48754,"journal":{"name":"Clinics in Colon and Rectal Surgery","volume":"39 3","pages":"227-234"},"PeriodicalIF":1.6,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13053099/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147634603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Carrie Y. Peterson, MD, MS, FACS, FASCRS. 凯莉Y.彼得森，医学博士，硕士，FACS， FASCRS。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-12-30 eCollection Date: 2026-05-01 DOI: 10.1055/a-2768-9935

Scott R Steele

引用次数: 0

Artificial Intelligence for the Treatment and Management of Colorectal Liver Metastases. 人工智能在结直肠肝转移治疗和管理中的应用。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-12-29 eCollection Date: 2026-05-01 DOI: 10.1055/a-2769-1413

Kaitlyn M Weyman, Anai N Kothari

{"title":"Artificial Intelligence for the Treatment and Management of Colorectal Liver Metastases.","authors":"Kaitlyn M Weyman, Anai N Kothari","doi":"10.1055/a-2769-1413","DOIUrl":"10.1055/a-2769-1413","url":null,"abstract":"Colorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide. Prognosis is significantly worsened in patients with colorectal liver metastases (CRLM), whose management requires a multidisciplinary approach encompassing diagnosis, systemic therapy, surgery, and surveillance. Artificial intelligence (AI) offers the potential to improve treatment processes and outcomes across all aspects of CRLM care. This review summarizes current and future applications of AI throughout the CRLM treatment continuum. In diagnostics, radiomics-based AI models have demonstrated improved sensitivity in detecting small or ambiguous liver lesions, supporting radiologist interpretation, and improving efficiency. Similarly, AI models are increasingly employed to predict systemic treatment response, using deep learning (DL) to extract imaging-derived features that correlate with genomic and histopathologic profiles relevant to therapy selection. In surgical planning, AI tools can assist in preoperative preparation and optimization by measuring tumor volume and transection planes. Intraoperatively, computer vision and augmented reality are emerging to support tumor localization, margin assessment, and real-time anatomical navigation. Postoperatively, advanced AI models can integrate clinical, radiologic, and molecular data to stratify recurrence risk and inform individualized follow-up strategies. Despite its promise, clinical translation of AI in CRLM remains limited by the retrospective nature of many studies, challenges with external validation, and limitations in the interpretability of model decisions. Still, AI has the potential to be a transformative tool in the treatment of CRLM by supporting precision, standardization, and personalization across the treatment spectrum.","PeriodicalId":48754,"journal":{"name":"Clinics in Colon and Rectal Surgery","volume":"39 3","pages":"235-241"},"PeriodicalIF":1.6,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13053105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147634598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Improving Acute Care Surgery with Artificial Intelligence: A Practical Review. 用人工智能改进急症护理外科：实践综述。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-12-29 eCollection Date: 2026-05-01 DOI: 10.1055/a-2769-0955

William M Rice, Rachel S Morris, Krista L Haines

{"title":"Improving Acute Care Surgery with Artificial Intelligence: A Practical Review.","authors":"William M Rice, Rachel S Morris, Krista L Haines","doi":"10.1055/a-2769-0955","DOIUrl":"10.1055/a-2769-0955","url":null,"abstract":"Artificial intelligence (AI) and machine learning are poised to transform trauma care across the entire continuum, from prehospital triage to postoperative critical care. Trauma systems are uniquely suited for AI integration due to the time-sensitive, high-volume, and data-rich nature of care delivery. In this narrative review, we describe current and emerging AI applications across the trauma care spectrum, including triage, acute resuscitation, operative decision-making, intensive care, and detection of complications. We also examine AI's potential in nontraditional care environments, including prehospital, rural, and military settings, where resource constraints and variability in provider expertise pose significant challenges. Across multiple domains, AI models outperform conventional approaches in predicting injury severity, identifying patients in need of intervention, and detecting complications. Specific tools include AI-powered triage support, resuscitation sequencing systems, real-time imaging interpretation, and outcome prediction applications. Despite this promise, many AI applications remain investigational, and widespread adoption will require validation, transparency, and alignment with ethical and regulatory standards. Thoughtful implementation of AI in trauma care has the potential to enhance decision-making, improve patient outcomes, and address disparities in access to high-quality trauma care.","PeriodicalId":48754,"journal":{"name":"Clinics in Colon and Rectal Surgery","volume":"39 3","pages":"178-184"},"PeriodicalIF":1.6,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13053101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147634854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Unique Challenges of Shared Decision-Making in Colorectal Surgery for the Elderly Patient. 老年结直肠手术患者共同决策的独特挑战。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-12-23 DOI: 10.1055/a-2760-7343

Madhuri V Nishtala, Julia R Berian

引用次数: 0

A Successful APP-Managed Anal Dysplasia Clinic. 一个成功的应用程序管理肛门发育不良诊所。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-07-02 eCollection Date: 2026-03-01 DOI: 10.1055/s-0045-1809894

Kathryn Drogan, Meghan Leusch

引用次数: 0

Treatment Options for Anal Neoplasia: Going from Anal Dysplasia to Anal Cancer. 肛门肿瘤的治疗选择：从肛门发育不良到肛门癌。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-07-02 eCollection Date: 2026-03-01 DOI: 10.1055/s-0045-1809890

Trista J Stankowski

引用次数: 0

No Time for That: Health Care Economics and Population Health Limitations of Anal Cancer Screening. 没时间了：肛门癌筛查的卫生保健经济学和人口健康限制。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-07-02 eCollection Date: 2026-03-01 DOI: 10.1055/s-0045-1809892

Andrew C Esposito, Andres Doval Rojas, Ira L Leeds

引用次数: 0

Evidence for Anal Dysplasia Treatment. 肛门发育不良治疗的证据。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-07-01 eCollection Date: 2026-03-01 DOI: 10.1055/s-0045-1809891

Luiz Felipe de Campos-Lobato, Arielle E Kanters, Paulo Gonçalves de Oliveira, Leonardo de Castro Durães

{"title":"Evidence for Anal Dysplasia Treatment.","authors":"Luiz Felipe de Campos-Lobato, Arielle E Kanters, Paulo Gonçalves de Oliveira, Leonardo de Castro Durães","doi":"10.1055/s-0045-1809891","DOIUrl":"10.1055/s-0045-1809891","url":null,"abstract":"Anal dysplasia, primarily caused by high-risk human papillomavirus (HPV) infection, presents as a precursor to anal cancer (AC), especially among high-risk populations such as human immunodeficiency virus (HIV)-positive individuals. This review evaluates evidence for the treatment of anal intraepithelial neoplasia, focusing on recent advancements in the context of the Anal Cancer/HSIL Outcomes Research Study (ANCHOR) trial which demonstrates that active treatment of high-grade squamous intraepithelial lesions markedly reduced progression to AC. This affirms the value of proactive treatment strategies over passive monitoring. Furthermore, we will discuss various treatment modalities, including topical agents, electrocautery, and HPV vaccination, and their efficacy and limitations. This review underscores the necessity of integrating screening and targeted interventions, particularly for high-risk groups, to reduce AC incidence. Future research should aim to validate these findings across broader demographic groups, refining public health policies and clinical guidelines to include effective screening and treatment protocols.","PeriodicalId":48754,"journal":{"name":"Clinics in Colon and Rectal Surgery","volume":"39 2","pages":"138-143"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12872295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Updates in Anal Neoplasia Screening and Treatment. 肛门肿瘤筛查和治疗的最新进展。

IF 1.6 4区医学

Clinics in Colon and Rectal Surgery Pub Date : 2025-06-27 eCollection Date: 2026-03-01 DOI: 10.1055/s-0045-1809873

Zhaomin Xu

引用次数: 0