Explanipedia

Characterizing CSF inflammatory proteomics in pediatric post-hemorrhagic hydrocephalus and Anti-NMDAR encephalitis Open

Ankush Bansal, Akilah Pascall, William Suslovic, Nhu Chau, Leigh Sepeta , et al. · 2025

PHH and NMDARE revealed distinct neuroinflammatory proteomic signatures compared to our control samples. PHH was marked by a broad increase in detection of the majority of inflammation-related proteins, with highest representation among th…

Current validation practice undermines surgical AI development Open

Annika Reinke, Z. Li, Minu D. Tizabi, Paulo André, Marcel Knopp , et al. · 2025

Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains severely limited, with inadequate validation emerging as a key obstacle. In fact, existing validation practices ofte…

Combining real-time AI and in-person expert instruction in simulated surgical skills training - Randomized crossover trial Open

Recai Yilmaz, Ahmad Alsayegh, Mohamad Bakhaidar, Ali M. Fazlollahi, Nour Abou Hamdan , et al. · 2025

Traditional surgical training has significant limitations, lacking objectivity and standardization. Deploying AI tools with conventional expert-mediated teaching may uncover areas where AI could complement experts and enhance surgical trai…

The Neurosurgeon's Role in the Brain Economy: How Strategic Investment in Neurosurgical Care and Innovation Will Improve Global Outcomes Open

Daniela A. Perez-Chadid, Riya M Dange, Harris A. Eyre, Graham Fieggen, Kerry A. Vaughan , et al. · 2025

Introduction. Artificial intelligence in neurosurgery: transforming a data-intensive specialty Open

Benjamin S. Hopkins, Garnette R. Sutherland, Samuel R. Browd, Daniel A. Donoho, Eric K. Oermann , et al. · 2025

The Neurosurgeon's Role in Brain Health Diplomacy: The Next Step for Global Neurosurgery Open

Daniela A. Perez-Chadid, Riya M Dange, Harris A. Eyre, Graham Fieggen, Kerry A. Vaughan , et al. · 2025

MR-guided focused ultrasound in pediatric neurosurgery: current insights, technical challenges, and lessons learned from 45 treatments at Children’s National Hospital Open

Gregory Keating, Kelsi Chesney, Nirali Patel, Lindsay Kilburn, Adriana Fonseca , et al. · 2024

OBJECTIVE MR-guided focused ultrasound (MRgFUS) is an evolving technology with numerous present and potential applications in pediatric neurosurgery. The aim of this study was to describe the use of MRgFUS, technical challenges, complicati…

Simulated outcomes for durotomy repair in minimally invasive spine surgery Open

Alan Balu, Guillaume Kugener, Dhiraj J. Pangal, Hee Won Lee, Sasha Lasky , et al. · 2024

Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic visualization, and the captured video can be used for surgical education and development of predictive artificial intelligence (AI) models. …

Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning Classifier Open

Naomi Kifle, Saige Teti, Bo Ning, Daniel A. Donoho, Itai Katz , et al. · 2023

Pediatric brain tumors are the second most common type of cancer, accounting for one in four childhood cancer types. Brain tumor resection surgery remains the most common treatment option for brain cancer. While assessing tumor margins int…

Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation Open

Alan Balu, Dhiraj J. Pangal, Guillaume Kugener, Daniel A. Donoho · 2023

BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct observational feedback by experts is rarely provided because of time constraints and is typically only qualitative. Automated, video-based, q…

Editorial: Machine learning in data analysis for stroke/endovascular therapy Open

Ari Ettleson, Benjamin Yim, Daniel A. Donoho · 2023

EDITORIAL article Front. Neurol., 24 August 2023Sec. Stroke Volume 14 - 2023 | https://doi.org/10.3389/fneur.2023.1267655

Commentary: Machine learning in clinical decision-making Open

Amanda C. Filiberto, Daniel A. Donoho, Ira L. Leeds, Tyler J. Loftus · 2023

GENERAL COMMENTARY article Front. Digit. Health, 31 July 2023Sec. Personalized Medicine Volume 5 - 2023 | https://doi.org/10.3389/fdgth.2023.1214111

In Reply: Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success from Video Open

Guillaume Kugener, Dhiraj J. Pangal, Daniel A. Donoho · 2023

To the Editor: We appreciate the opportunity to respond to the Letter to the Editor from Dr Lim1 on our recent article titled "Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video."2 In this …

Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care Open

Samuel R. Browd, Christine Park, Daniel A. Donoho · 2023

The worlds of spinal surgery and computational science are intersecting at the nexus of the operating room and across the continuum of patient care. As medicine moves toward digitizing all aspects of a patient's care, immense amounts of pa…

"Are we recording this?" Surgeons deserve next-generation analytics Open

Dhiraj J. Pangal, Daniel A. Donoho · 2023

A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons Open

Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Brian J. Miles, Christian von Wagner , et al. · 2023

Background Surgeons who receive reliable feedback on their performance quickly master the skills necessary for surgery. Such performance-based feedback can be provided by a recently-developed artificial intelligence (AI) system that assess…

A vision transformer for decoding surgeon activity from surgical videos Open

Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Brian J. Miles, Christian von Wagner , et al. · 2023

The intraoperative activity of a surgeon has substantial impact on postoperative outcomes. However, for most surgical procedures, the details of intraoperative surgical actions, which can vary widely, are not well understood. Here we repor…

Human visual explanations mitigate bias in AI-based assessment of surgeon skills Open

Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell Otiato, Brian J. Miles , et al. · 2023

Vertebral Aneurysmal Bone Cyst Mimicking Osteosarcoma: Case Report and Review of the Literature Open

Elizabeth Lechtholz‐Zey, Nawar Matti, Vance Fredrickson, Ian M. Buchanan, Daniel A. Donoho · 2023

Commentary: Extra-Axial Endoscopic Third Ventriculostomy for the Treatment of Slit Ventricle Syndrome: 2-Dimensional Operative Video Open

Elizabeth R. Duquette, Daniel A. Donoho, Gabriel Zada · 2023

Duquette, Elizabeth R. BS*; Donoho, Daniel A. MD‡,§; Zada, Gabriel MD, MS‖ Author Information

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video Open

Dhiraj J. Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Unadkat , et al. · 2022

Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will suc…

Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications Open

Guillaume Kugener, Dhiraj J. Pangal, Tyler Cardinal, Casey Collet, Elizabeth Lechtholz‐Zey , et al. · 2022

Hemorrhage control is a high-stakes adverse event that poses unique challenges for video analysis, but no data sets of hemorrhage control exist. The use of SOCAL, the first data set to depict hemorrhage control, allows the benchmarking of …

Expert Surgeons and Deep Learning Models Can Predict the Outcome of Surgical Hemorrhage from One Minute of Video Open

Dhiraj J. Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Unadkat , et al. · 2022

Background Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether th…

Simulated Outcomes Following Carotid Artery Laceration Open

Guillaume Kugener, Dhiraj J. Pangal, Gabriel Zada, Daniel A. Donoho · 2022

This is a data release for the Simulated Outcomes Following Carotid Artery Laceration (SOCAL) dataset version 1. Please see the SOCAL_README.txt file for a complete description of the dataset.If you plan to publish work that used this data…

Simulated Outcomes following Carotid Artery Laceration Open

Guillaume Kugener, Dhiraj J. Pangal, Gabriel Zada, Daniel A. Donoho · 2022

This is a data release for the Simulated Outcomes following Carotid Artery Laceration (SOCAL) dataset version 1. Please see the SOCAL_README.txt file for a complete description of the dataset.If you plan to publish work that used this data…

Management of Cervical Kyphotic Deformity Associated With Loeys-Dietz Vasculopathy and Cardiac Transplantation: Case Report, Literature Review, and Strategies for Complex Skeletal Dysplasias Open

Daniel A. Donoho, Timothy Singer, Tyler Lazaro, David F. Bauer · 2021

Readmissions after ventricular shunting in pediatric patients with hydrocephalus: a Nationwide Readmissions Database analysis Open

Daniel A. Donoho, Ian A. Buchanan, Shivani D. Rangwala, Arati Patel, Li Ding , et al. · 2021

OBJECTIVE Cerebrospinal fluid diversion via ventricular shunting is a common surgical treatment for hydrocephalus in the pediatric population. No longitudinal follow-up data for a multistate population-based cohort of pediatric patients un…

A systematic review of virtual reality for the assessment of technical skills in neurosurgery Open

Justin Chan, Dhiraj J. Pangal, Tyler Cardinal, Guillaume Kugener, Yichao Zhu , et al. · 2021

OBJECTIVE Virtual reality (VR) and augmented reality (AR) systems are increasingly available to neurosurgeons. These systems may provide opportunities for technical rehearsal and assessments of surgeon performance. The assessment of neuros…

Interhemispheric transcallosal intervenous approach to a pineal region tumor Open

Daniel A. Donoho, Guillermo Aldave · 2021

Pineal region tumors represent a formidable challenge to the neurosurgeon. Choosing the right approach is key to optimizing the extent of resection and minimizing surgical morbidity. In this video, the authors show an interhemispheric tran…

Simulated Outcomes following Carotid Artery Laceration Open

Guillaume Kugener, Dhiraj J. Pangal, Gabriel Zada, Daniel A. Donoho · 2021

This is a data release for the Simulated Outcomes following Carotid Artery Laceration (SOCAL) dataset version 1. Please see the SOCAL_README.txt file for a complete description of the dataset.If you plan to publish work that used this data…

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