A5034899775- Surgical Simulation and Training
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Anatomy and Medical Technology
- COVID-19 diagnosis using AI
- Dental Radiography and Imaging
- Reconstructive Surgery and Microvascular Techniques
- Brain Tumor Detection and Classification
- Cell Image Analysis Techniques
- Augmented Reality Applications
- Medical Imaging and Analysis
- Advanced X-ray and CT Imaging
- Dental Education, Practice, Research
- Head and Neck Cancer Studies
- AI in cancer detection
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Angiogenesis and VEGF in Cancer
- Wound Healing and Treatments
- Innovations in Medical Education
- Digital Imaging in Medicine
- Wnt/β-catenin signaling in development and cancer
- Digital Imaging for Blood Diseases
- Trauma Management and Diagnosis
RWTH Aachen University
2019-2025
Institute of Informatics of the Slovak Academy of Sciences
2024-2025
Friedrich-Alexander-Universität Erlangen-Nürnberg
2024
Universitätsklinikum Aachen
2024
Yahoo (United Kingdom)
2023
Klinik und Poliklinik für Mund-, Kiefer- und Gesichtschirurgie
2019-2023
University Hospital Cologne
2022
RELX Group (United States)
2022
University of Cologne
2018-2020
DeepSeek, a Chinese artificial intelligence company, released its first free chatbot app based on DeepSeek-R1 model. DeepSeek provides models, algorithms, and training details to ensure transparency reproducibility. Their new model is trained with reinforcement learning, allowing it learn through interactions feedback rather than relying solely supervised learning. Reports showcase that DeepSeek's shows competitive performances against established large language models (LLMs) such as...
Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.
Abstract Continuous access to electronic health records will fuel the digital transformation of medicine. For data-sharing initiatives, challenge lies in ensuring data aligns with interests holders. Federated authorization, where remains controlled locally, may offer a solution balance these interests. This paper reports on implementation federated authorization system used German National Emergency Department Data Registry. Using from 2017 2024, we analyzed system’s effectiveness managing...
Immune checkpoint inhibitors (ICI) represent a new therapeutic approach in recurrent and metastatic head neck squamous cell carcinoma (HNSCC). The patient selection for the PD-1/PD-L1 inhibitor therapy is based on degree of PD-L1 expression immunohistochemistry reflected by manually determined scores. However, manual scoring shows variability between different investigators influenced cognitive visual traps could therefore negatively influence treatment decisions. Automated facilitate...
As an integral part of computer-assisted surgery, virtual surgical planning (VSP) leads to significantly better surgery results, such as for oral and maxillofacial reconstruction with microvascular grafts the fibula or iliac crest. It is performed on a 2D computer desktop screen (DS) based preoperative medical imaging. However, in this environment, VSP associated shortcomings, time-consuming process requirement learning process. Therefore, reality (VR)-based application has great potential...
Abstract The advances in large language models (LLMs) are evolving rapidly. Artificial intelligence (AI) chatbots based on LLMs excel understanding and generation, with potential utility to transform healthcare education practice. However, it is important assess the performance of such AI various topics highlight its strengths possible limitations. Therefore, this study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master’s (MSc) level Medical...
The concept of reality-virtuality (RV) continuum was introduced by Paul Milgram and Fumio Kishino in 1994. It describes a spectrum that ranges from purely physical reality (the real world) to virtual (a completely computer-generated environment), with various degrees mixed between. This is “realized” different types displays encompass levels immersion interaction, allowing for the classification environments experiences. What often overlooked this act diminishing objects (or persons,...
Efficient and precise surgical skills are essential in ensuring positive patient outcomes. By continuously providing real-time, data driven, objective evaluation of performance, automated skill assessment has the potential to greatly improve training. Whereas machine learning-based is gaining traction for minimally invasive techniques, this cannot be said open surgery skills. Open generally more degrees freedom when compared surgery, making it difficult interpret. In paper, we present novel...
At the Worldwide Developers Conference in June 2023, Apple introduced Vision Pro. The Pro (AVP) is a mixed reality headset; more specifically, it virtual device with an additional video see-through capability. capability turns AVP into augmented (AR) device. AR feature enabled by streaming real world via cameras on (virtual reality) screens front of user’s eyes. This is, course, not unique and similar to other devices, such as Varjo XR-3 (Varjo Technologies Oy). Nevertheless, has some...
Although nearly one-third of the world's disease burden requires surgical care, only a small proportion digital health applications are directly used in field. In coming decades, application augmented reality (AR) with new generation optical-see-through head-mounted displays (OST-HMDs) like HoloLens (Microsoft Corp) has potential to bring into However, for be performed on living person, proof performance must first provided due regulatory requirements. this regard, cadaver studies could...
In this article, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI scans: FLAIR, T1, T1ce, and T2. Additionally, one or two segmentation masks (ground truth) are provided for sample. The first mask is the raw output from registration process all while second mask, particularly synthetic post-processed version first, designed to simplify interpretation optimize it network training. These samples have been acquired...
<sec> <title>UNSTRUCTURED</title> Objectives: Artificial intelligence (AI) has emerged as a transformative tool in healthcare, particularly improving medical documentation and communication. This study investigates the potential of ChatGPT, an AI language model, to enhance patient comprehension radiology reports through simplification. Materials Methods: Three versions were evaluated: original AI-generated, simplified, further simplified versions. Patient feedback 300 patients was collected...