Results 231 to 240 of about 4,264,300 (376)

Analysis of Computer Vision Methods for Counting Surgical Instruments. [PDF]

Surg Innov, 2021
Chavez G, Zhao DY, Haque A, Nazerali R, Amanatullah DF.   +4 more
europepmc   +1 more source

Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View [PDF]

Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Weidong Cai   +4 more
openalex   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Care of Ophthalmic Surgical Instruments

Community Eye Health Journal, 2003
Ingrid Cox, Sue Stevens
doaj  

Real-time automatic detection of gynecological laparoscopic surgical instruments and exploration in surgical skills assessment application: a cross-sectional study. [PDF]

Int J Surg
Wei H, Deng L, Wu X, Tan W, Wu Y, Yi B, Li Y, Wang R, Liang X, Chen Y, Wang H, Tang S, Wang Y.   +12 more
europepmc   +1 more source

Is the human brain capable of controlling seven degrees of freedom? [PDF]

, 2019
De Pauw, Tim, Dewaele, Frank, Kalmar, Alain, Mottrie, Alexandre, Pattyn, Piet, Van Herzeele, Isabelle, Van Nieuwenhove, Yves, Van Roost, Dirk   +7 more
core   +1 more source

How do the 2024 AORN guidelines recommend handling the sterilization of surgical instruments to prevent hospital-acquired infections?

Tripdatabase
openalex   +1 more source

Surgical instrument turns up unexpectedly [PDF]

, 1996
Richard Nathan
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Markerless Tracking of Robotic Surgical Instruments With Head Mounted Display for Augmented Reality Applications. [PDF]

Healthc Technol Lett
Greene N, Long A, Long Y, Han Z, Dou Q, Kazanzides P.   +5 more
europepmc   +1 more source