Explanipedia

SurgAnt-ViVQA: Learning to Anticipate Surgical Events through GRU-Driven Temporal Cross-Attention Open

Shreyas C. Dhake, Jiayuan Huang, Runlong He, Danyal Z. Khan, Evangelos B. Mazomenos , et al. · 2025

Anticipating forthcoming surgical events is vital for real-time assistance in endonasal transsphenoidal pituitary surgery, where visibility is limited and workflow changes rapidly. Most visual question answering (VQA) systems reason on iso…

The prevalence and risk of mortality associated with antimicrobial resistance within nosocomial settings—a global systematic review and meta-analysis of over 20,000 patients Open

Nisha George, Daniel Pan, Luisa Silva, Rebecca F. Baggaley, Patricia Irizar , et al. · 2025

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery Open

Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John Hanrahan , et al. · 2025

The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a surgery, including: which surgical steps are performed; and wh…

A core outcome set for pituitary surgery research: an international delphi consensus study Open

Alexandra Valetopoulou, Nicola Newall, Danyal Z. Khan, Anouk Borg, Pierre Bouloux , et al. · 2025

ASSESSMENT OF PROPHYLACTIC ANTIBIOTIC USE IN OPEN INGUINAL HERNIA SURGERY: A STUDY AT A TERTIARY CARE CENTRE Open

D S, Dyussupova B.B., David John, D. V. Gowda, Danyal Z. Khan , et al. · 2025

The Effectiveness of Problem Based Learning assisted by Educaplay on Pancasila Education Learning Outcomes of Elementary School Students Open

Aulli Qzara Ainun Nisa Mufi Dayanti, Kurotul Aeni, Danyal Z. Khan · 2025

Learning models that do not actively involve students in the learning process are one of the factors causing low learning outcomes. This research aims to test and analyze how effective the problem-based learning model, which utilizes Educa…

Wearable sensors-based assistive technologies for patient health monitoring Open

Nouf Abdullah Almujally, Danyal Z. Khan, Naif Al Mudawi, Mohammed Alonazi, Haifa F. Alhasson , et al. · 2025

Introduction: With the advancement of handheld devices, patient health monitoring using wearable devices plays a vital role in overall health monitoring. Methods: In this article, we have integrated multi-model bio-signals to monitor patie…

Automated Operative Phase and Step Recognition in Vestibular Schwannoma Surgery: Development and Preclinical Evaluation of a Deep Learning Neural Network (IDEAL Stage 0) Open

Simon C. Williams, Dorothée Duvaux, Adrito Das, Siddharth Sinha, Hugo Layard Horsfall , et al. · 2025

BACKGROUND AND OBJECTIVES: Machine learning (ML) in surgical video analysis offers promising prospects for training and decision support in surgery. The past decade has seen key advances in ML-based operative workflow analysis, though exis…

ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery Open

Zhehua Mao, Adrito Das, Danyal Z. Khan, Simon C. Williams, John Hanrahan , et al. · 2025

Purpose Automated localization of critical anatomical structures in endoscopic pituitary surgery is crucial for enhancing patient safety and surgical outcomes. While deep learning models have shown promise in this task, their predictions o…

PERIOPERATIVE EFFECT OF CAUDAL BLOCK ON PAEDIATRIC PATIENTS UNDERGOING UROGENITAL SURGERIES Open

Dr Yousha Muneeb Gillani, Dr Faisal Rasool Dar, Daoud Ali Mohamed, Dr Duha Qari, Danyal Z. Khan , et al. · 2025

3D reconstruction in endonasal pituitary surgery Open

D. J. Lee, Laurent Mennillo, Emalee Burrows, Jiun-Shiung Chen, Danyal Z. Khan , et al. · 2025

Utilising Natural Language Processing to Identify Brain Tumor Patients for Clinical Trials: Development and Initial Evaluation Open

James Booker, Jack Penn, Kawsar Noor, Richard Dobson, Naomi Fersht , et al. · 2025

NLP can be used effectively to extract brain tumor diagnoses from free-text EHR records with minimal additional training. The extracted concepts can then be linked to ongoing clinical trials. While further analysis is required to assess th…

Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning Open

Jiayuan Huang, Runlong He, Danyal Z. Khan, Evangelos B. Mazomenos, Danail Stoyanov , et al. · 2025

Image-guided surgery demands adaptive, real-time decision support, yet static AI models struggle with structured task planning and providing interactive guidance. Large language models (LLMs)-powered agents offer a promising solution by en…

Identifying research priorities for pituitary adenoma surgery: an international Delphi consensus statement Open

Nicola Newall, Alexandra Valetopoulou, Danyal Z. Khan, Anouk Borg, Pierre Bouloux , et al. · 2025

Purpose Pituitary surgery is the mainstay treatment for most pituitary adenomas, but many questions remain about perioperative and long-term management and outcomes. This study aimed to identify the most pressing research priorities in pit…

A Delphi-based needs assessment to identify and prioritise procedural skills through consensus for simulation-based learning in neurosurgery Open

Adam F. Roche, Dara O. Kavanagh, Darach Crimmins, Vincent Healy, Gulam Zilani , et al. · 2025

PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery Open

Runlong He, Danyal Z. Khan, Evangelos B. Mazomenos, Hani J. Marcus, Danail Stoyanov , et al. · 2025

Vision-Language Models (VLMs) in visual question answering (VQA) offer a unique opportunity to enhance intra-operative decision-making, promote intuitive interactions, and significantly advancing surgical education. However, the developmen…

Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics Open

Anand Pandit, Andrew Keenlyside, Danyal Z. Khan, Georg H. Reischer, Mohammad Amjad Kamal , et al. · 2025

The Impact of Operative Video Review versus Annotation on Training in Endoscopic Pituitary Surgery: A Preclinical Randomised Controlled Study Open

Emalee Burrows, Joachim Starup‐Hansen, Danyal Z. Khan, Chan Hee Koh, Maryam Hussain , et al. · 2025

Surgflownet: Leveraging Unannotated Video for Consistent Endoscopic Pituitary Surgery Workflow Recognition Open

Anjana Wijekoon, Adrito Das, Zhehua Mao, Danyal Z. Khan, John Hanrahan , et al. · 2025

IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning Open

Ahmad Jalal, Danyal Z. Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Alotaibi , et al. · 2024

Human activity recognition (HAR) has attracted significant attention in various fields, including healthcare, smart homes, and human-computer interaction. Accurate HAR can enhance user experience, provide critical health insights, and enab…

Predictors of complications and extended length of stay following percutaneous transluminal renal artery angioplasty Open

Ahmad Mustafa, Chapman Wei, Shahkar Khan, Taqi A Rizvi, Radu Grovu , et al. · 2024

Patients with renal artery stenosis (RAS) who fail medical management may be evaluated for Percutaneous transluminal renal artery angioplasty/stenting (PTRA/S). Comorbidities increasing the risk of complications following PTRA have not bee…

Barriers and facilitators to increasing physical activity in medium secure mental health settings: An exploration of staff perceptions Open

Kiara Lewis, Ms Gloria Roden-Lui, Guy Faulkner, Dr Simon Gibbon, Catherine Hewitt , et al. · 2024

Purpose \nThe benefits of physical activity for people with severe mental illness (SMI) is widely recognised but for those in medium secure settings there are additional environmental barriers to being active that have not been fully explo…

Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom Open

Adrito Das, B.U. Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors , et al. · 2024

Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain‐specific expertise. Automated data‐driven metrics can alleviate these difficulties, as…

Patient Satisfaction and Quality of Life Following Cosmetic Surgery: A Multicentre Cross-Sectional Study Open

Zahra Nayab, Hamdia Azeem, Sajjad Haider, Sidra Munir, Danyal Z. Khan , et al. · 2024

Background: Cosmetic surgery significantly impacts patient satisfaction and quality of life, reflecting physical and psychological outcomes. A multicenter evaluation provides insights into these dimensions across diverse populations and pr…

PitRSDNet: Predicting intra‐operative remaining surgery duration in endoscopic pituitary surgery Open

Anjana Wijekoon, Adrito Das, Roxana R. Herrera, Danyal Z. Khan, John Hanrahan , et al. · 2024

Accurate intra‐operative Remaining Surgery Duration (RSD) predictions allow for anaesthetists to more accurately decide when to administer anaesthetic agents and drugs, as well as to notify hospital staff to send in the next patient. There…

Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery Open

Danyal Z. Khan, Alexandra Valetopoulou, Adrito Das, John Hanrahan, Simon C. Williams , et al. · 2024

The Impact of Operative Video Review versus Annotation on Training in Endoscopic Pituitary Surgery: A Preclinical Randomised Controlled Study Open

Emalee Burrows, Joachim Starup‐Hansen, Danyal Z. Khan, Chan Hee Koh, Maryam Hussain , et al. · 2024

Objective This study evaluated the effect of active operative video annotation on surgical education, specifically focusing on implementability, knowledge acquisition, skill development, and confidence. Background Resident duty hour restri…

Artificial Intelligence Assisted Surgical Scene Recognition Open

Simon C. Williams, Jinfan Zhou, William Muirhead, Danyal Z. Khan, Chan Hee Koh , et al. · 2024

Objective: This study aimed to compare the ability of a deep-learning platform (the MACSSwin-T model) with healthcare professionals in detecting cerebral aneurysms from operative videos. Secondly, we aimed to compare the neurosurgical team…

Learning Curve of Endoscopic Lumbar Discectomy – A Systematic Review and Meta-Analysis of Individual Participant and Aggregated Data Open

Chan Hee Koh, James Booker, David Choi, Danyal Z. Khan, Hugo Layard Horsfall , et al. · 2024

Study Design A systematic review and meta-analysis of individual participant and aggregated data. Objectives To define the learning curves of endoscopic discectomies using unified statistical methodologies. Methods Searches returned 913 re…

Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom Open

Adrito Das, B.U. Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors , et al. · 2024

Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automated data driven metrics can alleviate these difficulties, as…

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