Results 171 to 180 of about 27,683,163 (345)
The right to refuse diagnostics and treatment planning by artificial intelligence
Thomas Ploug, S. Holm
semanticscholar +1 more source
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
wiley +1 more source
Practical Considerations in the Radiotherapy Treatment Planning for SBRT Pancreas Program. [PDF]
Joseph K +6 more
europepmc +1 more source
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source
A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy. [PDF]
Jiang H +6 more
europepmc +1 more source
Southeast Kansas, region-02 : development plan [1967]
March 1967 "701 project no. Kans. P-43."METHODS AND PROCEDURES -- INVENTORY AND ANALYSIS -- GOALS -- REGIONAL DEVELOPMENT POLICIES PLAN -- IMPLEMENTATION -- LIST OF FIGURES -- LIST OF ...
Southeast Kansas Regional Planning Committee
core
Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus +2 more
wiley +1 more source
Gamma Knife treatment planning using knowledge-based reinforcement learning. [PDF]
Huynh C +5 more
europepmc +1 more source
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source

