{"id":14190,"date":"2025-03-06T14:01:06","date_gmt":"2025-03-06T12:01:06","guid":{"rendered":"https:\/\/centerforsurgicalscience.dk\/?page_id=14190"},"modified":"2025-03-06T14:01:07","modified_gmt":"2025-03-06T12:01:07","slug":"our-history","status":"publish","type":"page","link":"https:\/\/centerforsurgicalscience.dk\/da\/our-history\/","title":{"rendered":"Our history"},"content":{"rendered":"
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OUR HISTORY<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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THE BEGINNING<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The AIDPRO manual CRC is a clinical decision support tool designed for colorectal surgeons managing perioperative care for patients undergoing elective curative surgery for colorectal cancer. It uses a prediction model trained on national Danish data to estimate a patient\u2019s one-year mortality risk and categorizes them into risk strata to guide perioperative treatment planning. While the tool provides recommendations, surgeons retain full decision-making authority and can override suggestions when necessary.<\/span><\/p>

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The algorithm was developed using extensive patient data from national health registries, with a structured selection process ensuring relevant clinical variables are included. Performance <\/span>validation was conducted to ensure accuracy and reliability. The tool is accessed through a secure platform, requiring manual data input by authorized colorectal surgeons.<\/span><\/p>

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A dedicated graphical user interface (GUI) called MDTplus has been designed to integrate with the AIDPRO manual CRC. MDTplus serves as the user interface, providing a secure and structured environment for surgeons to input patient data and receive risk estimations. The system operates as a web, ensuring seamless accessibility during multidisciplinary team meetings and preoperative consultations. The platform is designed to support, rather than replace, clinical judgment in colorectal cancer surgery planning.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2018: EPeOnc<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In January 2018, Ismail created the Enhanced Perioperative Oncology (EPeOnc) consortium at ZUH with the aim to combine principles of optimized surgical, anesthesiological and oncological treatments to improve short- and long-term outcome of patients undergoing cancer surgery.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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2019: CAG-POS<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In June 2019, his work within data science and personalized medicine was internationally acknowledged be appointing him the chairperson of a clinical academic group within personalized oncological surgery (CAG-POS). The CAG-POS provided the framework for efficient use of Big Data and artificial intelligence (AI) in Personalized Medicine (PM) to develop high-risk prediction models using Danish register data and to validate and implement the models in the clinical setting. On February 1, 2023, the prediction model was implemented as an evidence-based decision-support tool to stratify patients with CRC into four risk profiles based on their predicted 1-year mortality<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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2021: THE ESTABLISHMENT OF OUR LABORATORY<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In January 2021, Ismail established a state-of-the-art research laboratory at ZUH. The vision for the laboratory is to perform pre-analytical and analytical analyses on tissue and blood samples collected in the perioperative period from patients enrolled in clinical phase I\/II intervention or medical studies. The goal is to integrate translational data into the prediction model.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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OUR HISTORY THE BEGINNING The AIDPRO manual CRC is a clinical decision support tool designed for colorectal surgeons managing perioperative care for patients undergoing elective curative surgery for colorectal cancer. 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