Felix Nickel

ORCID: 0000-0001-6066-8238
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About
Contact & Profiles
Research Areas
  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Pancreatic and Hepatic Oncology Research
  • Colorectal Cancer Surgical Treatments
  • Cardiac, Anesthesia and Surgical Outcomes
  • Bariatric Surgery and Outcomes
  • Augmented Reality Applications
  • Gastric Cancer Management and Outcomes
  • Optical Imaging and Spectroscopy Techniques
  • Esophageal and GI Pathology
  • Esophageal Cancer Research and Treatment
  • Minimally Invasive Surgical Techniques
  • Pancreatitis Pathology and Treatment
  • Innovations in Medical Education
  • Renal cell carcinoma treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Gallbladder and Bile Duct Disorders
  • Artificial Intelligence in Healthcare and Education
  • Body Contouring and Surgery
  • Simulation-Based Education in Healthcare
  • Gastrointestinal Tumor Research and Treatment
  • Colorectal Cancer Screening and Detection
  • Gastroesophageal reflux and treatments
  • Infrared Thermography in Medicine
  • Obesity and Health Practices

University Hospital Heidelberg
2016-2025

Heidelberg University
2016-2025

University Medical Center Hamburg-Eppendorf
2023-2025

Universität Hamburg
2023-2025

Papageorgiou General Hospital
2025

National Center for Tumor Diseases
2024

University Hospital Carl Gustav Carus
2024

TU Dresden
2024

Martini-Klinik
2023

German Cancer Research Center
2022

Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase safety operation through context-sensitive warnings semi-autonomous robotic or improve training surgeons via data-driven feedback. In up to 91% average precision has been reported phase recognition on an open data single-center video dataset. this work we investigated generalizability algorithms in a multicenter setting including more...

10.1016/j.media.2023.102770 article EN cc-by-nc-nd Medical Image Analysis 2023-02-22

Open partial pancreatoduodenectomy (OPD) represents the current gold standard of surgical treatment a wide range diseases pancreatic head but is associated with morbidity in around 40% cases. Robotic (RPD) being used increasingly, yet, no randomised controlled trials (RCTs) RPD versus OPD have been published, leaving low level evidence to support this practice. This investigator-initiated, exploratory RCT two parallel study arms was conducted at high-volume centre line IDEAL recommendations...

10.1016/j.lanepe.2024.100864 article EN cc-by-nc-nd The Lancet Regional Health - Europe 2024-02-22

The role of minimally invasive distal pancreatectomy is still unclear, and whether robotic (RDP) offers benefits over laparoscopic (LDP) unknown because large multicentre studies are lacking. This study compared perioperative outcomes between RDP LDP.A international propensity score-matched included patients who underwent or LDP for any indication in 21 European centres from six countries that performed at least 15 pancreatectomies annually (January 2011 to June 2019). Propensity score...

10.1093/bjs/znaa039 article EN British journal of surgery 2021-01-01

<b><i>Background:</i></b> Obesity surgery has proven successful for weight loss and the resolution of comorbidities. There is, however, little evidence on its success risk complications when considering age onset obesity (AOO), years (YOO), preoperative body mass index (BMI), Edmonton staging system (EOSS) score, as possible predictors loss, comorbidities, complications. <b><i>Methods:</i></b> Patients who underwent Roux-en-Y gastric bypass...

10.1159/000496939 article EN cc-by-nc-nd Obesity Facts 2019-01-01

Abstract Image-based tracking of medical instruments is an integral part surgical data science applications. Previous research has addressed the tasks detecting, segmenting and based on laparoscopic video data. However, proposed methods still tend to fail when applied challenging images do not generalize well they have been trained on. This paper introduces Heidelberg Colorectal (HeiCo) set - first publicly available enabling comprehensive benchmarking instrument detection segmentation...

10.1038/s41597-021-00882-2 article EN cc-by Scientific Data 2021-04-12

Abstract The use of digital technology is increasing rapidly across surgical specialities, yet there no consensus for the term ‘digital surgery’. This critical as health technologies present technical, governance, and legal challenges which are unique to surgeon patient. We aim define surgery ethical issues surrounding its clinical application, identify barriers research goals future practice. 38 international experts, fields surgery, AI, industry, law, ethics policy, participated in a...

10.1038/s41746-022-00641-6 article EN cc-by npj Digital Medicine 2022-07-19

Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic based spectral imaging obtained open surgery received almost no attention to date. To address this gap literature, we are investigating following research questions hyperspectral (HSI) pigs setting: (1) What adequate representation HSI neural...

10.1016/j.media.2022.102488 article EN cc-by Medical Image Analysis 2022-05-27

Background and Objective: Robotic distal pancreatectomy (DP) is an emerging attractive approach, but its role compared with laparoscopic or open surgery remains unclear. Benchmark values are novel objective tools for such comparisons. The aim of this study was to identify benchmark cutoffs many outcome parameters DP without splenectomy beyond the learning curve. Methods: This analyzed outcomes from international expert centers patients undergoing robotic malignant benign lesions. After...

10.1097/sla.0000000000005601 article EN Annals of Surgery 2022-07-19

10.1093/bjs/znad379 article EN cc-by British journal of surgery 2024-01-31

This study compared virtual reality (VR) training with low cost-blended learning (BL) in a structured program. Training of laparoscopic skills outside the operating room is mandatory to reduce operative times and risks. Laparoscopy-naïve medical students were randomized 2 groups stratified for sex. The BL group (n = 42) used E-learning cholecystectomy (LC) practiced basic box trainers. VR trained LC on LAP Mentor II (Simbionix, Cleveland, OH). Each 3 × 4 hours followed by knowledge test...

10.1097/md.0000000000000764 article EN cc-by-nc Medicine 2015-05-01

Surprisingly, 40% to 95% of patients with type 2 diabetes mellitus (T2DM) show early remission hyperglycemia after obesity surgery. It is unknown what extent other diabetes-associated comorbidities such as distal peripheral neuropathy (DPN) might be influenced by This pilot study aimed at providing further evidence for the impact Roux-en-Y gastric bypass (RYGB) on both glycemic control and DPN in non-severely obese insulin-dependent T2DM.In present prospective cohort study, 20 long-standing,...

10.1097/sla.0b013e3182a618b2 article EN Annals of Surgery 2013-08-24
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