Results 141 to 150 of about 1,895,431 (338)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Epidemiological Methods and Inferences in Studies of Noninfectious Diseases: PHR Review [PDF]

, 1957
Abraham M. Lilienfeld
openalex   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

Philosophy of Inferences from Retrospective Studies [PDF]

, 1953
Harold F. Dorn
openalex   +1 more source

The burden of burnout: Understanding its prevalence and organizational drivers in medical physics

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Burnout is a work‐related syndrome characterized by increased levels of emotional exhaustion (EE) and depersonalization (DP) along with decreased levels of personal achievement. In the healthcare setting, higher burnout levels have been associated with negative impacts on personnel, an increased risk of errors, and a decrease in the
Deborah Schofield, C. Lynn Chevalier, Laurence Court, William Harmsen, Akiva Turner   +4 more
wiley   +1 more source

Revisiting Algebra and Complexity of Inference in Graphical Models [PDF]

arXiv, 2014
This paper studies the form and complexity of inference in graphical models using the abstraction offered by algebraic structures. In particular, we broadly formalize inference problems in graphical models by viewing them as a sequence of operations based on commutative semigroups.
arxiv  

THE X-RAY TREATMENT OF STATUS LYMPHATIOUS, WITH INFERENCES DRAWN THEREFROM CONCERNING THE PHYSIOLOGY OF THE THYMUS GLAND [PDF]

, 1910
B. K. Rachford
openalex   +1 more source

Stochastic Variational Inference

, 2013
We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of probabilistic models and we demonstrate it with two probabilistic topic models, latent Dirichlet ...
Chong Wang, David M. Blei, John Paisley, Matthew D. Hoffman, Tommi Jaakkola   +4 more
core   +2 more sources

A PROPÓSITO DE LA COMUNICACIÓN VERBAL On Verbal Communication

Forma y Función, 2009
El presente artículo es el resultado de un estudio de la comunicación verbal teniendo en cuenta la visión propuesta por el modelo inferencial. El objetivo del texto es ofrecer una descripción detallada de cada uno de los elementos que intervienen en él ...
Luz Amparo Fajardo Uribe
doaj  

Sampling-based Causal Inference in Cue Combination and its Neural Implementation [PDF]

arXiv, 2015
Causal inference in cue combination is to decide whether the cues have a single cause or multiple causes. Although the Bayesian causal inference model explains the problem of causal inference in cue combination successfully, how causal inference in cue combination could be implemented by neural circuits, is unclear.
arxiv