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   Articles with "outcome prediction" as a keyword



Artificial Intelligence for Hip Fracture Detection and Outcome Prediction

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recommendations! Published in 2023 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2023.3391

Abstract: Key Points Question For patients with hip fractures, how well do current artificial intelligence algorithms perform at diagnosing fractures and predicting postoperative outcomes? Findings This systematic review and meta-analysis of 39 studies identified similar error… read more here.

Keywords: outcome prediction; artificial intelligence; hip fracture; intelligence ... See more keywords

Machine learning in image‐based outcome prediction after radiotherapy: A review

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recommendations! Published in 2024 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.14559

Abstract: Abstract The integration of machine learning (ML) with radiotherapy has emerged as a pivotal innovation in outcome prediction, bringing novel insights amid unique challenges. This review comprehensively examines the current scope of ML applications in… read more here.

Keywords: outcome prediction; learning image; radiotherapy; machine learning ... See more keywords
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Enumerating bone marrow blasts from nonerythroid cellularity improves outcome prediction in myelodysplastic syndromes and permits a better definition of the intermediate risk category of the Revised International Prognostic Scoring System (IPSS‐R)

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recommendations! Published in 2017 at "American Journal of Hematology"

DOI: 10.1002/ajh.24732

Abstract: The Revised International Prognostic Scoring System (IPSS‐R) has been recognized as the score with the best outcome prediction capability in MDS, but this brought new concerns about the accurate prognostication of patients classified into the… read more here.

Keywords: category; risk; outcome prediction; mds ... See more keywords

EEG‐based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features

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recommendations! Published in 2019 at "Human Brain Mapping"

DOI: 10.1002/hbm.24724

Abstract: Prognostication for comatose patients after cardiac arrest is a difficult but essential task. Currently, visual interpretation of electroencephalogram (EEG) is one of the main modality used in outcome prediction. There is a growing interest in… read more here.

Keywords: outcome; outcome prediction; eeg based; convolutional neural ... See more keywords

Novel pre‐spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy

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recommendations! Published in 2025 at "Medical Physics"

DOI: 10.1002/mp.17672

Abstract: Given the recent increased emphasis on multimodal neural networks to solve complex modeling tasks, the problem of outcome prediction for a course of treatment can be framed as fundamentally multimodal in nature. A patient's response… read more here.

Keywords: fusion; pre spatial; data fusion; outcome prediction ... See more keywords

Patient-derived organoids of pancreatic ductal adenocarcinoma for subtype determination and clinical outcome prediction

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recommendations! Published in 2024 at "Journal of Gastroenterology"

DOI: 10.1007/s00535-024-02103-0

Abstract: Recently, two molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) have been proposed: the “Classical” and “Basal-like” subtypes, with the former showing better clinical outcomes than the latter. However, the “molecular” classification has not been applied… read more here.

Keywords: subtype; response; outcome prediction; clinical outcome ... See more keywords

Imaging-based outcome prediction in patients with intracerebral hemorrhage

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recommendations! Published in 2018 at "Acta Neurochirurgica"

DOI: 10.1007/s00701-018-3605-x

Abstract: Besides the established spot sign in computed tomography angiography (CTA), recently investigated imaging predictors of hematoma growth in noncontrast computed tomography (NCCT) suggest great potential for outcome prediction in patients with intracerebral hemorrhage (ICH). Secondary… read more here.

Keywords: intracerebral hemorrhage; prediction patients; patients intracerebral; outcome prediction ... See more keywords

Outcome Prediction of Postanoxic Coma: A Comparison of Automated Electroencephalography Analysis Methods

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recommendations! Published in 2022 at "Neurocritical Care"

DOI: 10.1007/s12028-022-01449-8

Abstract: To compare three computer-assisted quantitative electroencephalography (EEG) prediction models for the outcome prediction of comatose patients after cardiac arrest regarding predictive performance and robustness to artifacts. A total of 871 continuous EEGs recorded up to… read more here.

Keywords: outcome prediction; deep learning; prediction; model ... See more keywords

S27. Outcome prediction in postanoxic coma with deep learning

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recommendations! Published in 2018 at "Clinical Neurophysiology"

DOI: 10.1016/j.clinph.2018.04.387

Abstract: Introduction Visual assessment of the electroencephalogram (EEG) by experienced clinical neurophysiologists allows reliable outcome prediction in up to half of all comatose patients after cardiac arrest. We hypothesize that deep neural networks can achieve similar… read more here.

Keywords: outcome; outcome prediction; deep learning; cardiac arrest ... See more keywords
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EEG functional connectivity contributes to outcome prediction of postanoxic coma

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recommendations! Published in 2021 at "Clinical Neurophysiology"

DOI: 10.1016/j.clinph.2021.02.011

Abstract: OBJECTIVE To investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest. METHODS Prospective, multicenter cohort study. Coherence, phase locking value,… read more here.

Keywords: connectivity; outcome prediction; coma; eeg functional ... See more keywords

Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction.

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recommendations! Published in 2022 at "Critical reviews in oncology/hematology"

DOI: 10.1016/j.critrevonc.2022.103601

Abstract: Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most expensive malignancy to treat over the patients' lifetime. In recent years a number of studies have utilized Artificial Intelligence (AI)… read more here.

Keywords: cancer; outcome prediction; prediction; bladder ... See more keywords