Danyal Z. Khan
YOU?
Author Swipe
View article: SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition Open
Surgical workflow recognition has the potential to accelerate training initiatives through the analysis of surgical videos, improve intraoperative efficiency, and support preemptive postoperative care. Unlike well-explored minimally invasi…
View article: A surgical approach to building impactful artificial intelligence
A surgical approach to building impactful artificial intelligence Open
Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped im…
View article: A core outcome set for pituitary surgery research: an international delphi consensus study
A core outcome set for pituitary surgery research: an international delphi consensus study Open
Purpose This study aimed to develop a core outcome set (COS) for pituitary surgery to enhance the quality, efficiency and effectiveness of future pituitary adenoma surgery research. Methods Thirty-three outcomes were identified through a s…
View article: Wearable sensors-based assistive technologies for patient health monitoring
Wearable sensors-based assistive technologies for patient health monitoring Open
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…
View article: Automated Operative Phase and Step Recognition in Vestibular Schwannoma Surgery: Development and Preclinical Evaluation of a Deep Learning Neural Network (IDEAL Stage 0)
Automated Operative Phase and Step Recognition in Vestibular Schwannoma Surgery: Development and Preclinical Evaluation of a Deep Learning Neural Network (IDEAL Stage 0) Open
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…
View article: 3D reconstruction in endonasal pituitary surgery
3D reconstruction in endonasal pituitary surgery Open
Purpose Endoscopic transsphenoidal surgery for pituitary tumors is hindered by limited visibility and maneuverability due to the narrow nasal corridor, increasing the risk of complications. To address these challenges, we present a pipelin…
View article: Utilising Natural Language Processing to Identify Brain Tumor Patients for Clinical Trials: Development and Initial Evaluation
Utilising Natural Language Processing to Identify Brain Tumor Patients for Clinical Trials: Development and Initial Evaluation Open
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…
View article: Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning
Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning Open
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…
View article: Identifying research priorities for pituitary adenoma surgery: an international Delphi consensus statement
Identifying research priorities for pituitary adenoma surgery: an international Delphi consensus statement Open
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…
View article: A Delphi-based needs assessment to identify and prioritise procedural skills through consensus for simulation-based learning in neurosurgery
A Delphi-based needs assessment to identify and prioritise procedural skills through consensus for simulation-based learning in neurosurgery Open
We describe a multi-jurisdiction general needs assessment for technical skills in neurosurgical simulation training. This study will inform the design of future simulation-based learning curriculum in this sphere of training.
View article: PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery
PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery Open
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…
View article: IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning
IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning Open
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…
View article: Predictors of complications and extended length of stay following percutaneous transluminal renal artery angioplasty
Predictors of complications and extended length of stay following percutaneous transluminal renal artery angioplasty Open
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…
View article: Risk Factors of Relapse in Patients with Bipolar Affective Disorder in Tertiary Care Hospitals of Peshawar, Pakistan
Risk Factors of Relapse in Patients with Bipolar Affective Disorder in Tertiary Care Hospitals of Peshawar, Pakistan Open
Bipolar affective disorder characterized by the symptoms of recurring episodes of mania, hypomania, and depression. It is a chronic psychological disorder impairs quality of life of both individuals and families. The research was based on …
View article: Barriers and facilitators to increasing physical activity in medium secure mental health settings: An exploration of staff perceptions
Barriers and facilitators to increasing physical activity in medium secure mental health settings: An exploration of staff perceptions Open
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…
View article: Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom
Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom Open
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…
View article: PitRSDNet: Predicting intra‐operative remaining surgery duration in endoscopic pituitary surgery
PitRSDNet: Predicting intra‐operative remaining surgery duration in endoscopic pituitary surgery Open
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…
View article: The Impact of Operative Video Review versus Annotation on Training in Endoscopic Pituitary Surgery: A Preclinical Randomised Controlled Study
The Impact of Operative Video Review versus Annotation on Training in Endoscopic Pituitary Surgery: A Preclinical Randomised Controlled Study Open
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…
View article: Patient Satisfaction and Quality of Life Following Cosmetic Surgery: A Multicentre Cross-Sectional Study
Patient Satisfaction and Quality of Life Following Cosmetic Surgery: A Multicentre Cross-Sectional Study Open
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…
View article: Artificial Intelligence Assisted Surgical Scene Recognition
Artificial Intelligence Assisted Surgical Scene Recognition Open
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…