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
Joao Ramalhinho, Soojeong Yoo, Thomas Dowrick, Bongjin Koo, Murali Somasundaram, Kurinchi Gurusamy, David J. Hawkes, Brian Davidson, Ann Blandford, Matthew J. Clarkson
Summary: This paper evaluates the value of augmented reality overlay in laparoscopic surgery. The study finds that compared to a baseline condition, augmented reality can decrease the localization error of surgeons and introduce improvements in usability and user confidence in the surgical task.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Surgery
Anand S. Pandit, Melissa de Gouveia, Hugo Layard Horsfall, Arisa Reka, Hani J. Marcus
Summary: An 8-week mindfulness-based intervention programme for surgeons resulted in significantly reduced inattention blindness errors, suggesting that mindfulness can increase vigilance and prevent operative mistakes.
FRONTIERS IN SURGERY
(2022)
Article
Engineering, Biomedical
Fabian Joeres, Tonia Mielke, Christian Hansen
Summary: This study introduces a registration pipeline for augmented reality navigation support during laparoscopic resection site repair and provides a successful proof-of-concept evaluation. The acquisition and registration with artificial fiducials were significantly faster than using anatomical landmarks, indicating the feasibility of this method during surgery.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Green & Sustainable Science & Technology
Xiao-Wei Liu, Cheng-Yu Li, Sina Dang, Wei Wang, Jue Qu, Tong Chen, Qing-Li Wang
Summary: The maintenance training method based on VR and AR technology has advantages in improving training effectiveness and cost-saving. However, further research is needed on how to choose training methods for multi-level tasks.
Article
Computer Science, Artificial Intelligence
Wenhao Yang, Qinqin Xiao, Yunbo Zhang
Summary: In the era of Industry 4.0, manufacturing enterprises are adopting collaborative robots (Cobots). Current robot programming methods are difficult to use and there is a labor shortage in the manufacturing industry. To address this, we proposed HAR(2)bot, a human-centered augmented reality programming interface. It was designed using NASA's system design theory and cognitive load theory, and its effectiveness and efficiency were verified in complex tasks compared with existing methods.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Francesco Laera, Vito Modesto Manghisi, Alessandro Evangelista, Antonio Emmanuele Uva, Mario Massimo Foglia, Michele Fiorentino
Summary: This study designed a head-mounted display AR-based interface to assist sailors in monitoring wind data. In a user study, the AR-based interface outperformed the traditional data visualization system regarding reaction time, cognitive load, system usability, and user experience.
Article
Engineering, Biomedical
Florian Heinrich, Florentine Huettl, Gerd Schmidt, Markus Paschold, Werner Kneist, Tobias Huber, Christian Hansen
Summary: The study compared the applicability and effectiveness of verbal and gestural communication with the interactive virtual pointer in laparoscopic surgery training, showing that the use of the virtual pointer significantly improved movement efficiency and reduced error rates.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Review
Multidisciplinary Sciences
Nor Farzana Syaza Jeffri, Dayang Rohaya Awang Rambli
Summary: Research has shown a positive correlation between the effects of augmented reality on mental workload and task performance. Factors such as the type of AR display device, relevance of content, and information presentation can influence the effectiveness of AR systems.Increased understanding of how AR affects mental workload and task performance can lead to more effective design of AR systems.
Article
Computer Science, Interdisciplinary Applications
Agnese Brunzini, Alessandra Papetti, Daniele Messi, Michele Germani
Summary: The use of Mixed Reality (MR) simulations in healthcare education offers benefits in knowledge acquisition and skills training while ensuring patient safety. However, students may experience cognitive overload and stress. This study presents a method to design and evaluate the effectiveness of a medical simulation using MR, while prioritizing students' psychological safety. Results show that MR enhances realism without causing cognitive overload, leading to productive learning. User experience analysis highlights the benefits of immersion and realism, but also emphasizes the technological limitations of different devices.
Article
Green & Sustainable Science & Technology
Chia-Jung Lee, Yen Hsu
Summary: This study examines the application of Makeup AR learning approach in vocational education, demonstrating its ability to improve learning effectiveness, enhance self-efficacy, and reduce cognitive load among students.
Article
Computer Science, Software Engineering
Benjamin Volmer, James Baumeister, Stewart Von Itzstein, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky, Bruce H. Thomas
Summary: This article presents the results of a study on the cognitive cost of predictive cues in Spatial Augmented Reality (SAR), using electroencephalogram (EEG) recordings to measure brain activity. The study found that performance-enhancing cues had a higher cognitive load, while guiding cues with an arc or arrow required the least mental effort.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Education & Educational Research
Qingtang Liu, Shufan Yu, Wenli Chen, Qiyun Wang, Suxiao Xu
Summary: This study introduces an AR-based mobile simulated experiment tool to explore its impact on students' knowledge improvement and cognitive load. Results indicate that students in the AR group showed better knowledge improvement and lower cognitive load compared to the 3D and Traditional groups.
JOURNAL OF COMPUTER ASSISTED LEARNING
(2021)
Article
Computer Science, Software Engineering
Bradley Herbert, Grant Wigley, Barrett Ens, Mark Billinghurst
Summary: This paper presents an augmented reality-based network cabling tutoring system that provides assistance through AR arrows, text-based instruction, and a checklist. The Intelligent Tutoring System identifies mistakes and provides real-time feedback. The study shows that summarizing and eliminating instructional mechanisms can reduce user errors as knowledge increases.
COMPUTERS & GRAPHICS-UK
(2022)
Review
Chemistry, Multidisciplinary
Eleonora Barcali, Ernesto Iadanza, Leonardo Manetti, Piergiorgio Francia, Cosimo Nardi, Leonardo Bocchi
Summary: This study analyzed the application of augmented reality (AR) in medicine and identified the most widely used technical solutions. The findings indicated that AR has been extensively used in orthopedics, maxillofacial surgery, and oncology. The Microsoft HoloLens Optical Viewer was the most commonly used display method, while the marker-based method with a rigid registration was the predominant system for tracking and registration in AR.
APPLIED SCIENCES-BASEL
(2022)
Article
Health Care Sciences & Services
Emily Barrow, Rachael A. Lear, Abigail Morbi, Susannah Long, Ara Darzi, Erik Mayer, Stephanie Archer
Summary: This study interviewed inpatients from three different specialties to understand their perspectives on patient safety. The findings showed that patients' conceptualization of patient safety is centered around their own sense of feeling safe, which is influenced by various care experiences involving different actors. These findings highlight the importance of incorporating patients' priorities in a patient safety paradigm.
BMJ QUALITY & SAFETY
(2023)
Article
Clinical Neurology
Hugo Layard Horsfall, Carmen Salvadores Fernandez, Biswajoy Bagchi, Priyankan Datta, Priya Gupta, Chan Hee Koh, Danyal Khan, William Muirhead, Adrien Desjardins, Manish K. Tiwari, Hani J. Marcus
Summary: A universal sensorised surgical glove has been designed to detect intraoperative forces during any surgical procedure, providing real-time data to optimize tissue forces and reduce the risk of injury.
Article
Medicine, General & Internal
Peter J. Hutchinson, Hadie Adams, Midhun Mohan, Bhagavatula I. Devi, Christopher Uff, Shumaila Hasan, Harry Mee, Mark H. Wilson, Deepak K. Gupta, Diederik Bulters, Ardalan Zolnourian, Catherine J. McMahon, Matthew G. Stovell, Yahia Z. Al-Tamimi, Manoj K. Tewari, Manjul Tripathi, Simon Thomson, Edoardo Viaroli, Antonio Belli, Andrew T. King, Adel E. Helmy, Ivan S. Timofeev, Sarah Pyne, Dhaval P. Shukla, Dhananjaya I. Bhat, Andrew R. Maas, Franco Servadei, Geoffrey T. Manley, Garry Barton, Carole Turner, David K. Menon, Barbara Gregson, Angelos G. Kolias
Summary: Patients with traumatic acute subdural hematomas often require either craniotomy or decompressive craniectomy for surgical evacuation. The study shows that the disability and quality-of-life outcomes are similar with both approaches. However, additional surgery was more common in the craniotomy group and more wound complications occurred in the craniectomy group.
NEW ENGLAND JOURNAL OF MEDICINE
(2023)
Review
Endocrinology & Metabolism
Hugo Layard Horsfall, Alistair Lawrence, Ashwin Venkatesh, Ryan T. S. Loh, Ronie Jayapalan, Olympia Koulouri, Rishi Sharma, Thomas Santarius, Mark Gurnell, Neil Dorward, Richard Mannion, Hani J. Marcus, Angelos G. Kolias
Summary: There is heterogeneity in reporting outcomes and follow-up for transsphenoidal surgery for pituitary adenoma. The most commonly reported outcome is surgical complications, followed by endocrine, extent of resection, ophthalmic, recurrence, quality of life, and nasal outcomes. There is heterogeneity in the reported follow-up at different time points for all outcomes. Developing a robust, consensus-based minimum core outcome set is necessary to improve patient care.
Editorial Material
Nanoscience & Nanotechnology
Sabrina Smith, Rosalie Ogborne, Yasin Cotur, Muhammad Adeel, Hani J. Marcus, Firat Guder
NATURE REVIEWS MATERIALS
(2023)
Article
Oncology
Ziad Hussein, Robert W. Slack, Hani J. Marcus, Evangelos B. Mazomenos, Stephanie E. Baldeweg
Summary: Non-functioning pituitary adenomas (NFPAs) can lead to hypopituitarism, and this condition may persist after surgery or radiotherapy. Predicting post-intervention hypopituitarism is challenging, but this study utilized machine learning models to improve prediction accuracy up to 15 years after surgical intervention. Pre-operative hormone levels were found to be the best predictor for hypopituitarism within the first year, while endocrine tests conducted within the same period supported strong predictions for 5 and 10 years post-operatively.
Article
Oncology
Adrito Das, Danyal E. Khan, Danail Stoyanov, Hani Marcus, Soham Bandyopadhyay, Benjamin Schroeder, Vikesh Patel, Alice O'Donnell, Anastasios Giamouriadis, Pragnesh Bhatt, Bhaskar C. Ram, Adithya Varma, Philip Weir, Brendan Hanna, Theodore Hirst, Patrick McAleavey, Alessandro Paluzzi, Georgios Tsermoulas, Shahzada Ahmed, Wai Cheong Soon, Yasir Arafat Chowdhury, Suhaib Abualsaud, Shumail Mahmood, Paresh Naik, Zohra Haiderkhan, Rafid Al-Mahfoudh, Andrea Perera, Mircea Rus, Adam Williams, Charles Hand, Kumar Abhinav, Cristina Cernei, Aiman Dilnawaz, Richard G. Mannion, Thomas Santarius, James Tysome, Rishi Sharma, Angelos Kolias, Neil Donnelly, Ashwin Venkatesh, Caroline Hayhurst, Amr Mohamed, Benjamin Stew, Joseph Merola, Setthasorn Zhi Yang, Mahmoud Kamel, Mohammad Habibullah Khan, Sahibzada Abrar, Christopher Mckeon, Daniel McSweeney, Mohsen Javadpour, Peter Lacy, Daniel Murray, Elena Roman, Kismet Hossain-Ibrahim, David Bennett, Nathan McSorley, Adam Hounat, Patrick Statham, Mark Hughes, Alhafidz Hamdan, Caroline Scott, Jigi Moudgil-Joshi, Anuj Bahl, Anna Bjornson, Daniel Gatt, Nick Phillips, Neeraj E. Kalra, Melissa P. Bautista, Seerat Shirazi, Catherine Gilkes, Christopher Millward, Ahmad MS. Ali, Dimitris Paraskevopoulos, Jarnail Bal, Samir Matloob, Rhannon Lobo, Nigel Mendoza, Ramesh Nair, Arthur Dalton, Adarsh Nadig, Lucas Hernandez, Nick Thomas, Eleni Maratos, Jonathan Shapey, Sinan Al-Barazi, Asfand Baig Mirza, Mohamed L. Okasha, Prabhjot Singh Malhotra, Razna J. Ahmed, Neil Dorward, Joan Grieve, Parag Sayal, David Choi, Ivan Cabrilo, Hugo Layard Horsfall, Jonathan Pollock, Alireza Shoakazemi, Oscar Maccormac, Guru N. K. Amirthalingam, Andrew Martin, Simon Stapleton, Florence Hogg, Daniel Richardson, Kanna M. Gnanalingham, Omar Pathmanaban, Daniel J. Fountain, Raj Bhalla, Cathal Hannan, Annabel Chadwick, Alistair Jenkins, Claire Nicholson, Syed Shumon, Callum Allison, Graham Dow, Iain Robertson, Laurence Johann Glancz, Murugan Sitaraman, Ashwin Kumaria, Ananyo Bagchi, Simon Cudlip, Jane J. Halliday, Rory Piper, Alexandros Boukas, Meriem Amarouche, Damjan Veljanoski, Samiul Muquit, Ellie Edlmann, Haritha Maripi, Yi Wang, Mehnaz Hossain, Andrew Alalade, Syed Maroof, Pradnya Patkar, Saurabh Sinha, Showkat Mirz, Duncan Henderson, Mohammad Saud Khan, Nijaguna Mathad, Jonathan Hempenstall, Difei Wang, Pavan Marwaha, Simon Shaw, Georgios Solomou, Alina Shrestha
Summary: In this study, machine learning was utilized to predict cerebrospinal fluid rhinorrhoea (CSFR) after endonasal skull base surgery. Neural networks outperformed traditional statistical methods, and intraoperative CSF leak was identified as the most prominent risk factor. CSF diversion and gasket sealing were strong predictors of the absence of CSFR.
FRONTIERS IN ONCOLOGY
(2023)
Article
Urology & Nephrology
Stephanie J. Russ, James Green, Louise de Winter, Ellie Herrington, Archie Hughes-Hallett, Julia M. Taylor, Nick Sevdalis
Summary: In the past 30 years, there has been a significant focus on quality in international healthcare. This is due to the recognition of variations in patient outcomes caused by inconsistent implementation of evidence-based actions during patient care. Healthcare professionals have shown a growing interest in utilizing knowledge and techniques from outside the medical field to improve patient care standards. This article introduces Quality Improvement methodology and concepts to Urology departments in the UK, providing an overview of key principles and organizational support for QI work.
JOURNAL OF CLINICAL UROLOGY
(2023)
Article
Endocrinology & Metabolism
Yue Ruan, Luca Mercuri, Dimitri Papadimitriou, Algirdas Galdikas, Gail Roadknight, Jim Davies, Ben Glampson, Erik Mayer, Neil E. Hill, Rustam Rea
Summary: This study examined the clinical outcomes of diabetes patients admitted to hospital before and during the COVID-19 pandemic in the UK. The results showed that during the pandemic, there was a significant increase in the incidence of hypoglycemia and hyperglycemia among hospitalized diabetes patients, as well as a longer hospital stay.
JOURNAL OF DIABETES AND ITS COMPLICATIONS
(2023)
Review
Health Care Sciences & Services
Rachael Lear, Sophia Ellis, Tiffany Ollivierre-Harris, Susannah Long, Erik K. Mayer
Summary: This study aimed to explore the acceptability and effectiveness of video recording patients for direct care purposes and to summarize the guidance of professional and regulatory bodies in the United Kingdom. The results showed that video recording was valued by patients and clinical staff for assessment, care, and treatment, as well as for promoting patient engagement and communication. However, further research is needed to evaluate the impact of video recording on diagnosis, treatment monitoring, patient-clinician communication, and patient safety. The UK guidelines provide consistent recommendations on consent, privacy, and storage but lack detailed guidance on implementation in clinical practice.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Review
Endocrinology & Metabolism
Hugo Layard Horsfall, Ryan T. S. Loh, Ashwin Venkatesh, Danyal Z. Khan, Alistair Lawrence, Ronie Jayapalan, Olympia Koulouri, Daniele Borsetto, Thomas Santarius, Mark Gurnell, Neil Dorward, Richard Mannion, Hani J. Marcus, Angelos G. Kolias
Summary: This study examined the reporting trends and heterogeneity of baseline variables in patients undergoing transsphenoidal surgery for pituitary adenoma. It revealed a need for a standardized data element to facilitate meaningful comparative research, trial design, and reduce research inefficiency.
Article
Chemistry, Analytical
Jialang Xu, Dimitrios Anastasiou, James Booker, Oliver E. Burton, Hugo Layard Horsfall, Carmen Salvadores Fernandez, Yang Xue, Danail Stoyanov, Manish K. Tiwari, Hani J. Marcus, Evangelos B. Mazomenos
Summary: This study assesses the classification of surgical skill levels in microsurgery using six deep learning architectures, and proposes six data augmentation techniques to enhance model performance. The experimental results show that the CLDNN and TCN models achieve the highest accuracy rates.
Article
Clinical Neurology
Jonathan P. Funnell, Kawsar Noor, Danyal Z. Khan, Linda D'Antona, Richard J. B. Dobson, John G. Hanrahan, Christopher Hepworth, Eleanor M. Moncur, Benjamin M. Thomas, Lewis Thorne, Laurence D. Watkins, Simon C. Williams, Wai Keong Wong, Ahmed K. Toma, Hani J. Marcus
Summary: This study utilized natural language processing to identify features associated with idiopathic normal pressure hydrocephalus (iNPH) and aimed to develop AI-driven tools for early detection. Results showed that mobility impairment, cognitive impairment, and falls or balance problems were the most frequently documented symptoms, while cardiovascular and hematological issues were the most common comorbidities.
JOURNAL OF NEUROSURGERY
(2023)
Article
Endocrinology & Metabolism
Ziad Hussein, Hani J. J. Marcus, Joan Grieve, Neil Dorward, Michael Kosmin, Naomi Fersht, Pierre Marc Bouloux, Zane Jaunmuktane, Stephanie E. E. Baldeweg
Summary: This study aimed to assess the incidence of hypopituitarism at presentation, the impact of treatment, and the likelihood of endocrine recovery during follow-up in patients with non-functioning pituitary macroadenomas (NFPMs). The results showed that NFPMs patients had severe hypopituitarism both at diagnosis and after treatment, and the combination of surgery and radiotherapy increased the risk of pituitary dysfunction.
Article
Engineering, Biomedical
Jinfan Zhou, William Muirhead, Simon C. C. Williams, Danail Stoyanov, Hani J. J. Marcus, Evangelos B. B. Mazomenos
Summary: This article introduces a method for automated recognition of aneurysm in surgical videos, which can serve as a valuable reference point for neuronavigation and indicate high-risk moments during the surgery. The proposed method utilizes a Transformer-based deep learning model and achieves comparable performance to human experts in detecting and classifying aneurysms in the videos.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)