Results 71 to 80 of about 1,309,239 (247)

Workspace and trajectory-based experimental validation of a 3-armed 6-DOF parallel robot for femoral fracture surgery

open access: yesFrontiers in Robotics and AI
Femur fractures remain a significant occurrence in the general population, requiring immediate medical care (typically surgery) followed by extensive recovery time.
Alberto Gaytan   +7 more
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe   +7 more
wiley   +1 more source

Non-invasive Surgical Robotics Chassis System Iteration 001

open access: yes, 2021
Faculty Adviser: Dr. Arshia KhanThis research was supported by the Undergraduate Research Opportunities Program (UROP).Walker, Maxwell J.. (2021). Non-invasive Surgical Robotics Chassis System Iteration 001.
Walker, Maxwell J.
core  

Autonomous Execution of Surgical Tasks: the Next Step in Robotic Surgery

open access: yes, 2015
Minimally invasive surgery first and, more recently, surgical robotics have brought new perspectives to surgery and have significantly improved the quality of many critical surgical tasks [1,2].
Preda, Nicola   +10 more
core   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane   +10 more
wiley   +1 more source

Human–Robot Cooperative Control Based on Virtual Fixture in Robot-Assisted Endoscopic Sinus Surgery

open access: yesApplied Sciences, 2019
In endoscopic sinus surgery, the robot assists the surgeon in holding the endoscope and acts as the surgeon’s third hand, which helps to reduce the surgeon’s operating burden and improve the quality of the operation.
Yucheng He   +5 more
doaj   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi   +8 more
wiley   +1 more source

Implementation and Assessment of an Augmented Training Curriculum for Surgical Robotics

open access: yes
The integration of high-level assistance algorithms in surgical robotics training curricula may be beneficial in establishing a more comprehensive and robust skillset for aspiring surgeons, improving their clinical performance as a consequence. This work
Rota, Alberto, De Momi, Elena, Fan, Ke
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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