Article
Engineering, Biomedical
Christian Heiliger, Thomas Heiliger, Alessandra Deodati, Alexander Winkler, Matthias Grimm, Faisal Kalim, Javier Esteban, Lorenz Mihatsch, Lena Hiendl, Dorian Andrade, Alexander Frank, Sven Jacob, Khaled Ahmed Mohamed, Olga Solyanik, Subhamoy Mandal, Jens Werner, Ulrich Eck, Nassir Navab, Konrad Karcz
Summary: Results show that AR has great potential in visceral surgery and may improve surgeons' performance. While differences in operative time, total touching time, and SurgTLX scores were not statistically significant, comparing the invasiveness of the simulated intervention revealed a statistically significant difference. Participants generally believed AR could be useful for various surgeries, especially for liver, sigmoid, and pancreatic resections.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2022)
Article
Surgery
Eleni Amelia Felinska, Thomas Ewald Fuchs, Alexandros Kogkas, Zi-Wei Chen, Benjamin Otto, Karl-Friedrich Kowalewski, Jens Petersen, Beat Peter Mueller-Stich, George Mylonas, Felix Nickel
Summary: This study analyzed the effect of telestration guided instructions using an augmented reality system on gaze behavior during minimally invasive surgery (MIS) training. The results showed that using telestration improved the trainees' gaze behavior by reducing the time from instruction to fixation on targets and increasing the convergence of gazes between the instructor and the trainee. This led to better surgical performance and could be used to improve training outcomes.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Article
Computer Science, Interdisciplinary Applications
Ci-Jyun Liang, Charles Start, Hanna Boley, Vineet R. Kamat, Carol C. Menassa, Michelle Aebersold
Summary: The use of augmented reality in nursing education was well-received by students, who found it to be a useful educational tool. The study demonstrated the potential of extended reality in healthcare training.
Article
Computer Science, Interdisciplinary Applications
T. Collins, D. Pizarro, S. Gasparini, N. Bourdel, P. Chauvet, M. Canis, L. Calvet, A. Bartoli
Summary: The system presented in the research successfully performed markerless real-time registration and augmented reality of a mobile human organ with monocular laparoscopes in the operating room. The system addresses the challenges posed by the weakly-textured, highly mobile nature of the uterus through novel and robust solutions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Computer Science, Artificial Intelligence
Huiyu Duan, Xiongkuo Min, Yucheng Zhu, Guangtao Zhai, Xiaokang Yang, Patrick Le Callet
Summary: With the development of multimedia technology, Augmented Reality (AR) has emerged as a promising next-generation mobile platform. However, there is a lack of studies on how the fusion of digital contents and real-world environments in AR will affect the Quality of Experience (QoE). This paper introduces the theory of visual confusion and proposes a model and metric for evaluating the perceptual quality of superimposed images in AR.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Construction & Building Technology
Shaoze Wu, Lei Hou, Haosen Chen, Guomin (Kevin) Zhang, Yang Zou, Quddus Tushar
Summary: There is a growing interest in using wearable Augmented Reality (AR) devices to improve the task performance of construction workers. This study introduces cognitive ergonomics theory to design and develop a customized and user-friendly AR application. The experiment results indicate that the application can enhance the skill development and kinaesthetic performance of construction workers, promoting the uptake of wearable AR in the construction industry.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Surgery
Mourad Adballah, Yamid Espinel, Lilian Calvet, Bruno Pereira, Bertrand Le Roy, Adrien Bartoli, Emmanuel Buc
Summary: This study revealed that laparoscopic liver resection using augmented reality appears to provide more accurate resection margins with less variability than the gold standard ultrasound navigation, especially in difficult to access liver zones with deep tumors.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Review
Chemistry, Multidisciplinary
Rosanna Maria Viglialoro, Sara Condino, Giuseppe Turini, Marina Carbone, Vincenzo Ferrari, Marco Gesi
Summary: Simulation-based medical training using AR, MR, and hybrid approaches offers an effective tool for technical skill acquisition. Most studies reviewed focus on custom-made simulators, with varying combinations and classifications of approaches. However, there is a need for further research to validate existing simulators and assess their impact on real patient outcomes beyond feasibility and preliminary validation assessments.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Nabil El Barhoumi, Rafika Hajji, Zakaria Bouali, Youssef Ben Brahim, Abderrazzaq Kharroubi
Summary: Augmented reality (AR) has proven to be efficient in the architecture, engineering, construction and operation (AECO) domain, especially when integrated with building information modeling (BIM). However, the precision and accuracy of placing virtual 3D models in an AR environment can be a challenge. This paper proposes a methodology to evaluate different AR placement methods quantitatively and qualitatively, focusing on their usability in the AECO context. Results show a wide range of placement errors in AR, with marker-based methods performing better than others. Commercial solutions using placement sensors show good performance in manual mode, but lower accuracy and stability in automatic mode.
APPLIED SCIENCES-BASEL
(2022)
Article
Education & Educational Research
Ratna Candra Sari, Mahfud Sholihin, Nurhening Yuniarti, Ida Ayu Purnama, Hardika Dwi Hermawan
Summary: This study found that using AR-based behavior simulation can enhance students' moral imagination, bringing innovative learning methods to modern business ethics education.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Medicine, General & Internal
Simone La Padula, Rosita Pensato, Francesco D'Andrea, Ludovica de Gregorio, Concetta Errico, Umberto Rega, Luigi Canta, Chiara Pizza, Giovanni Roccaro, Raphaelle Billon, Endri Dibra, Jean Paul Meningaud, Barbara Hersant
Summary: This study evaluated the aesthetic similarity between pre-operative 3D simulations generated using Arbrea breast simulation software and real post-operative outcomes. The results showed that patients were satisfied with the simulations and the attained breast volume, with only the volume simulation being extremely accurate. Statistically significant differences were found between the pre-operative and one-year post-operative values of the three BREAST-Q assessments.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Chemistry, Medicinal
Alba Fombona-Pascual, Javier Fombona, Ruben Vicente
Summary: This research analyzes the development and potential of augmented reality technology in the field of chemistry for three-dimensional molecule visualization. The study finds that there are already some successful examples of augmented reality applications in education and research environments, although traditional two-dimensional screen visualization is still more commonly used for teaching.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2022)
Article
Surgery
Iman Ghaderi, Tung Tran, Melissa Carton, Julia Samame, Carlos Galvani
Summary: This study aimed to assess the impact of an intensive laparoscopic training course with structured assessment and immediate feedback on residents' operative performance in an animal lab. The results showed significant improvements in general and procedure-specific laparoscopic skills, particularly in incisional hernia repair and Nissen fundoplication. Trainees' self-reported confidence also positively correlated with their operative performance.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2021)
Article
Oncology
Weiqi Zhang, Wen Zhu, Jian Yang, Nan Xiang, Ning Zeng, Haoyu Hu, Fucang Jia, Chihua Fang
Summary: The study evaluated the safety and effectiveness of a laparoscopic augmented reality navigation system in anatomical hepatectomy of primary liver cancer. Results showed that the system helped in identifying anatomical structures, reducing intraoperative bleeding, and accelerating postoperative recovery.
FRONTIERS IN ONCOLOGY
(2021)
Review
Chemistry, Multidisciplinary
Carlos E. Mendoza-Ramirez, Juan C. Tudon-Martinez, Luis C. Felix-Herran, Jorge de J. Lozoya-Santos, Adriana Vargas-Martinez
Summary: This article is a systematic literature review on augmented reality (AR) technology, aiming to explore the limitations and implementation challenges of applying AR technology in engineering and other fields. The review discusses the state-of-the-art AR techniques, potential use cases, and barriers to widespread adoption, while also identifying future research directions and opportunities for innovation in this rapidly evolving field. It serves as a compilation of existing technologies, particularly useful for beginners in AR or developers seeking to innovate or implement new technologies, providing insights into the limitations and current challenges that may arise.
APPLIED SCIENCES-BASEL
(2023)
Article
Surgery
Constantinos Loukas, Nicholas P. Sgouros
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2020)
Article
Gastroenterology & Hepatology
Eleni Dokoutsidou, Moussa Alodat, Christos Mavrogiannis, Konstantinos Georgiou, Eleftheria Giannakoulopoulou, Petros Galanis, Constantinos Loukas, Lars Enochsson, Evangelos Georgiou
GASTROENTEROLOGY NURSING
(2020)
Article
Computer Science, Interdisciplinary Applications
Panagiotis Marentakis, Pantelis Karaiskos, Vassilis Kouloulias, Nikolaos Kelekis, Stylianos Argentos, Nikolaos Oikonomopoulos, Constantinos Loukas
Summary: This study investigated the classification of NSCLC into AC and SCC using different techniques, with LSTM + Inception showing superior performance and outperforming expert evaluations.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2021)
Article
Pediatrics
Georgios Kourelis, Meletios Kanakis, Constantinos Loukas, Felicia Kakava, Konstantinos Kyriakoulis, Dimitrios Bobos, Sotiria Apostolopoulou, Spyridon Rammos, Nikolaos Giannopoulos
Summary: This study retrospectively evaluated the efficacy and safety of surgical ligation for patent ductus arteriosus (PDA) in extremely low birth weight (ELBW) infants. The study found a negative correlation between the age at surgery, surgical weight, and gestational age at birth with the duration of mechanical ventilation. The results showed that surgical ligation without chest tube placement is an efficient and safe treatment for ELBW infants with PDA.
JOURNAL OF PEDIATRIC INTENSIVE CARE
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Constantinos Loukas, Nikolaos L. Kelekis
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Surgery
Constantinos Loukas, Athanasios Gazis, Dimitrios Schizas
Summary: This study presents an artificial intelligence framework for classifying the vascularity of the gallbladder wall during laparoscopic cholecystectomy based on intraoperative images. By utilizing a two-stage neural network model, the proposed framework achieved accuracy and F1 scores close to the agreement of expert evaluators in both image- and video-level classification tasks.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2022)
Article
Chemistry, Multidisciplinary
Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ioannis Seimenis, Constantinos Loukas, Ernst Leiss, Nikolaos Tsekos
Summary: The article introduces a method to improve low-quality MRI images using deep learning techniques (UNets) and conducts experimental evaluation. The results indicate that these UNets perform similarly in image upscaling. The study supports the potential of deep learning as an integral part of holistic approaches in MRI acquisitions, but emphasizes the importance of the actual data collection step.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Dimitrios Koumatzidis, Ioannis Seimenis, Constantinos Loukas, Theodoros Constantinidis, Adam Adamopoulos
Summary: Epidemics and pandemics have been the subject of scientific research throughout history, and their cyclical nature has been observed. The COVID-19 pandemic has confirmed previous observations from other disease outbreaks. Epidemics are characterized by population dynamics and the nature of the disease. This article uses continuous mathematical models based on a scalable compartmental approach, studying the impact of quarantine and vaccination policies on cumulative viral load. The findings highlight the importance of early-stage quarantine and widespread vaccination programs.
APPLIED SCIENCES-BASEL
(2023)
Article
Biotechnology & Applied Microbiology
Athanasios Gazis, Pantelis Karaiskos, Constantinos Loukas
Summary: This study proposes a deep learning framework and a self-supervision scheme for video-based surgical gesture recognition. The framework extracts feature vectors using a 3D convolutional network and captures long-term temporal dependencies using a transformer network. Two main models were proposed and evaluated on a dataset of laparoscopic surgical tasks. The best-performing model achieved high accuracies for gesture recognition.
BIOENGINEERING-BASEL
(2022)
Proceedings Paper
Engineering, Biomedical
Constantinos Loukas, Athanasios Gazis, Dimitrios Schizas
Summary: This paper introduces a MIL technique for assessing the vascularity of the GB wall through computer-vision analysis of LC operation images. The proposed approach achieves the best performance in two experimental tasks without the need for manual labeling of instances.
PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOIMAGING), VOL 2
(2021)
Article
Engineering, Biomedical
Constantinos Loukas, Maximos Frountzas, Dimitrios Schizas
Summary: In this study, a deep learning approach was proposed for assessment of GB wall vascularity in LC images. The results showed high accuracy in patch and GB wall region classification. The study also investigated late fusion analysis techniques, providing a visual representation of the probability for vascularity classes across the GB wall region.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Surgery
Constantinos Loukas, Athanasios Gazis, Meletios A. Kanakis
JSLS-JOURNAL OF THE SOCIETY OF LAPAROENDOSCOPIC SURGEONS
(2020)
Article
Obstetrics & Gynecology
M. Varras, C. Loukas, N. Nikiteas, V. K. Varra, F. N. Varra, E. Georgiou
CLINICAL AND EXPERIMENTAL OBSTETRICS & GYNECOLOGY
(2020)
Proceedings Paper
Engineering, Biomedical
Constantinos Loukas, Dimitrios Schizas
PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 2: BIOIMAGING
(2020)
Proceedings Paper
Engineering, Biomedical
Constantinos Loukas
BIOIMAGING: PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 2
(2019)