[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"colonic-polyp\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:colonic-polyp":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,11,0,[8,48,80,112,145,168,191,220,243,268,292],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":32,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":4},"100498909","phase-2-the-impact-of-a-patient-decision-aid-on-treatment-choices-for-patients-with-an-unexpected-malignant-colorectal-polyp-100498909",false,"NCT05776381","The Impact of a Patient Decision Aid on Treatment Choices for Patients With an Unexpected Malignant Colorectal Polyp","The Impact of an In-consultation Patient Decision Aid on Treatment Choices and Outcomes of Management for Patients With an Unexpected Malignant Colorectal Polyp A Non-randomized Clinical Phase II Study","Inclusion Criteria:\n\n* Histopathologically verified malignant colorectal polyp removed endoscopically and CT-scan (and MRI if the malignant polyp was situated in the rectum) shows N0, M0 disease.\n\nExclusion Criteria:\n\n* Inability to provide informed consent\n* Inoperable due to comorbidity\n* Known residual tumor left in situ after local resection, \\>N0 or \\>M0","ALL","18 Years",{"count":19,"type":20},110,"ESTIMATED","INTERVENTIONAL",[23],"PHASE2","Management of unexpected malignant colorectal polyps removed endoscopically can be challenging due to the risk of residual tumor and lymphatic spread. International studies have shown that in patients choosing surgical management instead of watchful waiting, 54-82% of bowel resections are without evidence of residual tumor or lymphatic spread. As surgical management entails risks of complications and watchful waiting management entails risks of residual disease or recurrence, a clinical dilemma arises when choosing a management strategy.\n\nShared decision making (SDM) is a concept that can be used in preference sensitive decision making to facilitate patient involvement, empowerment, and active participation in the decision making process.\n\nThis is a clinical multicenter, non-randomized, interventional phase II study involving Danish surgical departments planned to commence in the first quarter of 2024. The aim of the study is to examine whether shared decision making and using a patient decision aid (PtDA) in consultations affects patients' choice of management compared with historical data. The secondary aim is to investigate Patient Reported Experience Measures (PREMs) and Patient Reported Outcome Measures (PROMs) using questionnaire feedback directly from the patients.",[26,27,28,29,30,31],"Shared Decision Making","Colonic Polyp","Decision Aids","Rectal Polyp","Colorectal Polyp","Colorectal Cancer",[33,34,35,26],"non-randomized trial","malignant colorectal polyp","Patient Decision aid","NOT_YET_RECRUITING","2026-04-29",{"date":39,"type":40},"2026-04-30","ACTUAL",{"date":42,"type":20},"2028-02-01",{"date":44,"type":20},"2033-02-01",{"name":46,"class":47},"Vejle Hospital","OTHER",{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":16,"minAge":56,"maxAge":57,"enrollmentInfo":58,"targetDuration":60,"studyType":61,"phases":4,"briefSummary":62,"conditions":63,"keywords":64,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":79},"100502487","review-of-the-impact-of-a-computer-aided-real-time-polyp-detection-system-on-adult-colonoscopy-100502487","NCT05822895","Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonoscopy","A Comprehensive Review of the Impact of a COmPuter-aIded reaL-time pOlyp deTection System on Adult Colonoscopy (COPILOT Study) - a Single Institution Adoption Experience","COPILOT","Inclusion Criteria:\n\n* all adult patients going for colonoscopy in the our institution\n\nExclusion Criteria:\n\n* Patients with incomplete or failed colonoscopy, flexible sigmoidoscopy, colonoscopy done after previous colorectal cancers or previous colonic resections, patients with poor bowel preparation, when deemed by the endoscopist to have an incomplete assessment of the colon","21 Years","90 Years",{"count":59,"type":20},764,"1 Month","OBSERVATIONAL","Background:\n\nRemoval of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths. Recently, there have been much interest in the use of artificial intelligence (AI) platforms to augment the routine endoscopic assessment of the colon to enhance adenoma detection rate (ADR). To date, computer assisted detection of polyps (CADe) have been shown to be safe, with a significant increase in ADR, without any concomitant increase in post-procedural complications.\n\nAims:\n\nThe investigators aim to evaluate the use of GI GeniusTM Intelligent Endoscopy Module in a multi-ethnic Asian population (Singapore) to increase in ADR and adenoma detected per colonoscopy (ADPC)to justify its effectiveness as an adjunct in polyp detection and training for colonoscopy.\n\nMethods:\n\nThis study will be a single-institution cohort study, conducted over a 2-year period. Sengkang General Hospital (SKH) does an estimated 12,500 colonoscopies per year, with an average of 1,040 colonoscopies performed every month. Thus, given the case volume, the investigators expect to detect differences in ADR amongst endoscopists if any during this study period.\n\nAs part of the subgroup analysis, the investigators also aim to compare the ADR rates of trainee endoscopists with and without the GI GeniusTM Intelligent Endoscopy Module to ascertain its utility as an education tool\u002Ftraining adjunct",[27],[65,66,67,68],"Colonic polyp","colonoscopy","artificial intelligence","implementation science","RECRUITING","2026-04-28",{"date":72,"type":40},"2026-05-04",{"date":74,"type":40},"2023-01-02",{"date":76,"type":20},"2031-12-31",{"name":78,"class":47},"Sengkang General Hospital",1,{"id":81,"slug":82,"hasResults":11,"nctId":83,"briefTitle":84,"officialTitle":84,"acronym":85,"eligibilityCriteria":86,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":87,"enrollmentInfo":88,"targetDuration":4,"studyType":21,"phases":90,"briefSummary":92,"conditions":93,"keywords":95,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":103,"lastUpdatePostDateStruct":104,"startDateStruct":106,"completionDateStruct":108,"leadSponsor":110,"locationsCount":79},"100628013","phase-4-a-comparison-of-remimazolam-besylate-and-propofol-sedation-in-patients-undergoing-colonoscopic-polypectomy-100628013","NCT07456111","A Comparison of Remimazolam Besylate and Propofol Sedation in Patients Undergoing Colonoscopic Polypectomy","Bypro","Inclusion Criteria:\n\n* Patients both male and female\n* ages 18 to 60 years,\n* with one or more colonic polyps confirmed by colonoscopy and scheduled for a colonoscopy and polypectomy\n* The duration of the colonoscopy ranges from 30 to 50 minutes.\n* ASA status (American Society of Anaesthesiologists physical status) I-III.\n* BMI (Body mass index) 18.5-29.9 kg\u002Fm2.\n* Only patients who signed an informed consent waiver and consented to participate in the research study.\n\nExclusion Criteria:\n\n* Patients aged \\>60 years\n* ASA status IV-V,\n* BMI \\>29.9 kg\u002Fm2,\n* a high risk of vomiting, regurgitation and\u002For aspiration of gastric contents.\n* Patients with:\n* uncontrolled hypertension (systolic pressure \\>160 mmHg),\n* heart disease (cardiomyopathy, cardiac-rhythm disorder, left ventricular ejection fraction \\\u003C45%, stenosis or heart valve insufficiency and coronary heart disease)\n* lung disease (pneumonia, chronic obstructive pulmonary disease, asthma and pulmonary tumors),\n* kidney diseases (kidney failure, GF 30\u002F59 ml\u002Fmin\u002F1.73m2),\n* liver diseases,\n* coagulation disorders\n* lymphatic tissue diseases\n* extended malignant disease.\n* History of allergy on nutritional allergens including soy bean, benzodiazepines, propofol or opioids.\n* Patients who currently use analgesic medications or other psycho-pharmaceuticals.\n* History of illicit drug use.\n* Children, pregnant and nursing women.\n* Alcohol dependency.\n* Patients involved in other clinical research studies,\n* patients who refused to take part in the research or have not signed the written informed consent form.","60 Years",{"count":89,"type":20},90,[91],"PHASE4","The goal of this prospective, randomized, controlled study is to compare remimazolam besilat\u002Fsufentanyl and propofol\u002Fsufentanyl in patients during colonoscopic polypectomies procedures.\n\nPatients undergoing colonoscopic polypectomies in procedural sedation using remimazolam besylate\u002Fsufentanyl are circulatory and respiratory as or more stable when compared with propofol\u002Fsufentanyl sedation.",[27,94],"Sedation Complication",[96,97,98,99,100,101,102],"Remimazolam besylate","Propofol","Procedural sedation","Polypectomy","Circulatory stability","Respiratory stability","Respiratory depression","2026-03-03",{"date":105,"type":40},"2026-03-06",{"date":107,"type":40},"2025-01-01",{"date":109,"type":20},"2028-12-30",{"name":111,"class":47},"Clinical Hospital Centre Zagreb",{"id":113,"slug":114,"hasResults":11,"nctId":115,"briefTitle":116,"officialTitle":117,"acronym":118,"eligibilityCriteria":119,"healthyVolunteers":120,"sex":16,"minAge":17,"maxAge":121,"enrollmentInfo":122,"targetDuration":4,"studyType":21,"phases":124,"briefSummary":126,"conditions":127,"keywords":130,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":136,"lastUpdatePostDateStruct":137,"startDateStruct":139,"completionDateStruct":141,"leadSponsor":143,"locationsCount":79},"100616587","efficacy-of-ai-assisted-colonoscopy-for-screening-colorectal-neoplasia-ai-coloscreen-100616587","NCT07307547","Efficacy of AI-Assisted Colonoscopy for Screening Colorectal Neoplasia (AI-COLOSCREEN)","A Multi-center, Randomized, Controlled Clinical Study on the Efficacy of Artificial Intelligence-Assisted Colonoscopy in Improving the Screening of Colorectal Cancer and Precancerous Lesions.","AI-COLOSCREEN","Inclusion Criteria:\n\n1. Age between 18 and 75 years, inclusive.\n2. Scheduled for a screening, diagnostic, or surveillance colonoscopy.\n3. Able to understand the study protocol and provide written informed consent.\n\nExclusion Criteria:\n\n1. Known contraindications to colonoscopy or biopsy.\n2. Personal history of colorectal cancer, inflammatory bowel disease (IBD), or previous colorectal surgery.\n3. Known or suspected colorectal polyposis syndrome (e.g., Familial Adenomatous Polyposis - FAP).\n4. Patients with active colorectal bleeding, bowel obstruction, or toxic megacolon.\n5. Women who are pregnant, planning to become pregnant, or are breastfeeding.\n6. Participation in another interventional clinical trial within the 30 days prior to enrollment.\n7. Any other condition that, in the investigator's judgment, would make the participant unsuitable for the study.",true,"75 Years",{"count":123,"type":20},3342,[125],"NA","This study is a multi-center, randomized controlled trial designed to evaluate whether an artificial intelligence (AI) system can assist endoscopists to improve the detection rate of colorectal adenomas and cancers during colonoscopy compared to standard colonoscopy. Early screening and diagnosis are key to reducing the burden of colorectal cancer, but current colonoscopy has limitations, including the risk of missed lesions. This trial aims to determine if AI can enhance screening quality and diagnostic accuracy.",[128,27,129,31],"Colorectal Neoplasms","Adenoma",[131,132,133,134,135],"Artificial Intelligence","Colonoscopy","Colorectal Cancer Screening","Adenoma Detection Rate","Deep Learning","2026-02-08",{"date":138,"type":40},"2026-02-10",{"date":140,"type":20},"2026-04",{"date":142,"type":20},"2028-12",{"name":144,"class":47},"Zhejiang University",{"id":146,"slug":147,"hasResults":11,"nctId":148,"briefTitle":149,"officialTitle":150,"acronym":4,"eligibilityCriteria":151,"healthyVolunteers":11,"sex":16,"minAge":152,"maxAge":57,"enrollmentInfo":153,"targetDuration":4,"studyType":21,"phases":155,"briefSummary":156,"conditions":157,"keywords":4,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":159,"lastUpdatePostDateStruct":160,"startDateStruct":162,"completionDateStruct":164,"leadSponsor":166,"locationsCount":79},"100522041","comparative-analysis-of-ai-software-for-enhanced-polyp-detection-and-diagnosis-100522041","NCT06077435","Comparative Analysis of AI Software for Enhanced Polyp Detection and Diagnosis","Comparative Analysis of AI Software and Conventional Colonoscopy for Enhanced Polyp Detection and Diagnosis: A Randomized Controlled Trial","Inclusion Criteria:\n\n* Age \\> 50 years\n* Elective colonoscopy\n\nExclusion Criteria:\n\n* Patient declines to participate in the study.\n* Age \\\u003C 50 years\n* Unprepared bowel","50 Years",{"count":154,"type":20},915,[125],"Purpose \\& Research Questions\n\nThe purpose of this study is to evaluate whether artificial intelligence (AI) improves the detection of polyps and whether the system can classify the type and severity of detected changes. The investigators will also assess if there are any differences between the various AI systems and whether the polyps that may be missed are benign or malignant.",[27,158],"Colon Lesion","2025-11-19",{"date":161,"type":40},"2025-11-24",{"date":163,"type":40},"2023-03-01",{"date":165,"type":20},"2026-06-01",{"name":167,"class":47},"Sahlgrenska University Hospital",{"id":169,"slug":170,"hasResults":11,"nctId":171,"briefTitle":172,"officialTitle":172,"acronym":173,"eligibilityCriteria":174,"healthyVolunteers":120,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":175,"targetDuration":4,"studyType":21,"phases":177,"briefSummary":178,"conditions":179,"keywords":181,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":182,"lastUpdatePostDateStruct":183,"startDateStruct":185,"completionDateStruct":187,"leadSponsor":189,"locationsCount":79},"100558422","training-physicians-to-differentiate-the-paris-classification-using-artificial-colon-polyp-images-100558422","NCT06550908","Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images","LUTETIA2","Inclusion Criteria:\n\n* Physicians with or without experience in colonoscopy",{"count":176,"type":20},70,[125],"Training in endoscopy is essential for the early detection of precursors of colorectal cancer. Up to now, this training has been carried out with image collections of findings and in practice when working on patients. The investigators want to use artificial intelligence (AI) to better train doctors to recognise these precursors. By using generative AI, the investigators were able to create realistic images that comply with data protection regulations and whose content can be predefined. Parts of the image can also be regenerated so that it is possible to create different precancerous stages in the same place in the image.\n\nIn this study the investigators want to train physicians using real images or artificial images in order to compare which version helps classify polyps better.",[27,180],"Colon Adenoma",[132],"2025-08-06",{"date":184,"type":40},"2025-08-12",{"date":186,"type":40},"2025-04-15",{"date":188,"type":20},"2025-08-31",{"name":190,"class":47},"Wuerzburg University Hospital",{"id":192,"slug":193,"hasResults":11,"nctId":194,"briefTitle":195,"officialTitle":196,"acronym":197,"eligibilityCriteria":198,"healthyVolunteers":120,"sex":16,"minAge":199,"maxAge":200,"enrollmentInfo":201,"targetDuration":4,"studyType":21,"phases":203,"briefSummary":204,"conditions":205,"keywords":208,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":211,"lastUpdatePostDateStruct":212,"startDateStruct":214,"completionDateStruct":216,"leadSponsor":218,"locationsCount":79},"100576976","artificial-intelligence-assisted-colonoscopy-in-colorectal-cancer-screening-in-a-general-hospital-100576976","NCT06792292","Artificial Intelligence-Assisted Colonoscopy in Colorectal Cancer Screening in a General Hospital","Real-World Experience of Artificial Intelligence-Assisted Colonoscopy in Colorectal Cancer Screening in a General Hospital: A Single-Center Cohort Phase IV Study","Delta-AI","Inclusion criteria:\n\n* Patient (woman or man) candidate for a screening colonoscopy - Age: 45 to 74 years included\n* Absence of inflammatory bowel disease\n* Absence of significant digestive symptoms indicating colonoscopy (i.e. screening is the only indication for the examination)\n* Patient able to understand the concept of the study and agreeing to participate\n\nExclusion criteria:\n\n* Patient outside the inclusion age\n* All exclusion criteria for a colonoscopy.\n* The indication for colonoscopy is not simple screening; for example, assessment of anemia, rectal bleeding, weight loss or abdominal pain.\n* Patient's refusal to participate, or patient's inability to understand the study concept\n* Any patient with major psychological or psychiatric disorders.","45 Years","74 Years",{"count":202,"type":20},765,[125],"Cancer can develop in the colon, or large bowel. Examination of the colon with a tube fitted with a camera is called a colonoscopy.\n\nColonoscopy allows detection of small growths in the colon, called \"polyps\". Polyps can often be removed during colonoscopy. Some of these polyps are called adenomas and can become cancer after several years.\n\nA good colonoscopy aims to find and take out as many of these polyps as possible.\n\nA quality indication of colonoscopy is the \"adenoma detection rate\" (ADR). It should be high, meaning many polyps are detected and taken out.\n\nNew artificial intelligence devices to assist colonoscopy seem to increase the ADR, and maybe help prevent cancer even better than normal colonoscopy.\n\nThe goal of this clinical trial is to compare the ADR when using standard colonoscopy to the ADR with artificial intelligence (AI)-assisted colonoscopy.",[131,206,207,27,132],"Colonic Adenoma","Colonic Neoplasms",[209,210],"colo-rectal cancer screening","artificial intelligence assisted colonoscopy","2025-01-20",{"date":213,"type":40},"2025-01-24",{"date":215,"type":20},"2025-02-01",{"date":217,"type":20},"2027-06-01",{"name":219,"class":47},"Chirec",{"id":221,"slug":222,"hasResults":11,"nctId":223,"briefTitle":224,"officialTitle":225,"acronym":226,"eligibilityCriteria":227,"healthyVolunteers":11,"sex":16,"minAge":199,"maxAge":228,"enrollmentInfo":229,"targetDuration":4,"studyType":21,"phases":231,"briefSummary":232,"conditions":233,"keywords":234,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":236,"lastUpdatePostDateStruct":237,"startDateStruct":239,"completionDateStruct":240,"leadSponsor":241,"locationsCount":79},"100557880","autonomous-artificial-intelligence-versus-ai-assisted-human-optical-diagnosis-100557880","NCT06543862","Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis","Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis of Colorectal Polyps","CADx-Prosp","Inclusion Criteria:\n\n* Indication for full colonoscopy.\n\nExclusion Criteria:\n\n* Known inflammatory bowel disease\n* Active colitis\n* coagulopathy\n* familial polyposis syndrome\n* poor general health, defined as an American Society of Anesthesiologists class \\>3\n* emergency colonoscopy","80 Years",{"count":230,"type":20},540,[125],"Computer-aided image-enhanced endoscopy can predict the nature of colorectal polyps with over 90% accuracy. This technology uses artificial intelligence (AI) to analyze video recordings of polyps, learning to make diagnoses in real-time. This means that doctors can get immediate predictions about small polyps during the procedure, reducing the need for separate pathology exams and saving costs, ultimately improving patient care.\n\nHuman and AI interactions are complex and a framework to reap synergistic effects CADx systems when used by humans to harness optimal performance needs to be established. AI solutions in medicine are usually developed to be used as assistive devices, however, then they rely on humans to correct AI errors. Optical polyp diagnosis is a complex task. Non experts usually achieve diagnostic accuracy in 70-80%. CADx systems have a similar diagnostic accuracy when used autonomously. Clinical evaluation of CADx systems showed that CADx assisted OD performs equally to the operator performance when using non CADx assisted OD. To harness a benefit of clinical CADx implementation we would have to find a way that synergies between human and CADx come into play to eliminate cases in which CADx assisted and\u002F or human OD results in low diagnostic accuracy and also addresses the problem of serrated polyp recognition.",[27,131],[235],"optical diagnosis, artificial intelligence","2024-11-13",{"date":238,"type":40},"2024-11-15",{"date":238,"type":20},{"date":238,"type":20},{"name":242,"class":47},"Centre hospitalier de l'Université de Montréal (CHUM)",{"id":244,"slug":245,"hasResults":11,"nctId":246,"briefTitle":247,"officialTitle":248,"acronym":4,"eligibilityCriteria":249,"healthyVolunteers":120,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":250,"targetDuration":252,"studyType":61,"phases":4,"briefSummary":253,"conditions":254,"keywords":4,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":258,"lastUpdatePostDateStruct":259,"startDateStruct":261,"completionDateStruct":263,"leadSponsor":265,"locationsCount":79},"100379463","endoscopic-resection-of-large-colorectal-polyps-an-observational-cohort-study-100379463","NCT04220905","Endoscopic Resection of Large Colorectal Polyps: An Observational Cohort Study","Large Polyp Study (LPS) III - Endoscopic Resection of Large Colorectal Polyps: An Observational Cohort Study","Inclusion Criteria:\n\n* Any patient ≥18 who presents for an upper endoscopy or colonoscopy and who does not have criteria for exclusion\n* Patients with a ≥20mm colon polyp\n* Patients with a ≥10mm duodenal polyp\n\nExclusion Criteria:\n\n* Patients who are receiving an emergency endoscopy\n* Patients with coagulopathy with an elevated INR ≥1.5, or platelets \\\u003C50\n* Poor bowel preparation\n* Pregnancy",{"count":251,"type":20},1500,"5 Years","This protocol describes a prospective cohort study. It addresses an important challenge in the prevention of colorectal cancer and duodenal cancer: how to safely and effectively remove large polyps.",[27,132,255,256,257],"Complication","Recurrence","Duodenal Polyp","2024-07-01",{"date":260,"type":40},"2024-07-05",{"date":262,"type":40},"2017-11-01",{"date":264,"type":20},"2025-05",{"name":266,"class":267},"White River Junction Veterans Affairs Medical Center","FED",{"id":269,"slug":270,"hasResults":11,"nctId":271,"briefTitle":272,"officialTitle":273,"acronym":274,"eligibilityCriteria":275,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":57,"enrollmentInfo":276,"targetDuration":4,"studyType":21,"phases":278,"briefSummary":279,"conditions":280,"keywords":4,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":282,"lastUpdatePostDateStruct":283,"startDateStruct":285,"completionDateStruct":287,"leadSponsor":289,"locationsCount":79},"100552175","effectiveness-of-artificial-intelligence---assisted-colonoscopy-in-colorectal-neoplasms-100552175","NCT06469671","Effectiveness of Artificial Intelligence - Assisted Colonoscopy in Colorectal Neoplasms","Artificial Intelligence - Assisted Colonoscopy in Diagnosis of Colorectal Neoplasms: Russian Multicenter Randomised Open - Label Trial","ArtInCol","Inclusion Criteria:\n\n* Screening coloscopy is needed\n\nExclusion Criteria:\n\n* Indications for colonoscopy\n* Previously detected colorectal neoplasms\n* Previously performed colorectal surgery\n* Colorectal cancer\n* Inflammatory bowel disease",{"count":277,"type":20},1000,[125],"The primary goal of this study is to estimate the effectiveness of a medical decision support system based on artificial intelligence in the endoscopic diagnosis of benign tumors.\n\nResearchers will compare Adenoma detection rate between \"artificial intelligence - assisted colonoscopy\" and \"conventional colonoscopy\" groups to evaluate the clinical effectiveness of artificial intelligence model.",[207,27,281],"Diagnosis","2024-06-17",{"date":284,"type":40},"2024-06-21",{"date":286,"type":20},"2024-07",{"date":288,"type":20},"2024-12",{"name":290,"class":291},"State Scientific Centre of Coloproctology, Russian Federation","OTHER_GOV",{"id":293,"slug":294,"hasResults":11,"nctId":295,"briefTitle":296,"officialTitle":297,"acronym":4,"eligibilityCriteria":298,"healthyVolunteers":11,"sex":16,"minAge":299,"maxAge":4,"enrollmentInfo":300,"targetDuration":4,"studyType":21,"phases":302,"briefSummary":303,"conditions":304,"keywords":4,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":306,"lastUpdatePostDateStruct":307,"startDateStruct":309,"completionDateStruct":311,"leadSponsor":313,"locationsCount":79},"100446899","the-carma-technique-study-100446899","NCT05099432","The CARMA Technique Study","The Cap-Assisted Resection Margin Assessment (CARMA) Technique After Polyp Resection: a Prospective Feasibility Study of a \"Novel\" Approach to Reduce Polyp Recurrence","Patients with colonic polyps will be considered following below criteria\n\nInclusion Criteria:\n\n\\- any polypectomy (though only a maximum of two polyps from one individual participant)\n\nExclusion Criteria:\n\n* polyps less than 10mm which were resected under endoscopic view with a definite \\> 1mm clear margin\n* scar site recurrence polyps\n* polyps with endoscopic evidence of invasion\n* pedunculated polyps\n* pseudopolyps\n* participants who will not be available for follow up endoscopy","16 Years",{"count":301,"type":20},60,[125],"Colonoscopic removal of polyps is an important and well-established tool in the prevention of colorectal cancers. However, high polyp recurrence rates after endoscopic resection, with resultant development of interval cancers, remains a problem; this most commonly stems from unrecognised incomplete polyp resection. Thus, a standardised endoscopic technique is needed that will allow endoscopists to consistently achieve a clear margin of resection. The investigators believe the Cap Assisted Resection Margin Assessment (CARMA) technique will address this problem. This novel technique focuses on a standardised assessment of the resection margin after endoscopic polypectomy utilising available standard high-definition video endoscopes with imaging features including narrow band imaging (NBI) and magnification endoscopy.",[27,305],"Colonic Sessile Serrated Lesion","2021-11-05",{"date":308,"type":40},"2021-11-15",{"date":310,"type":20},"2021-11",{"date":312,"type":20},"2026-11",{"name":314,"class":47},"Princess Alexandra Hospital, Brisbane, Australia"]