AIMC Topic: Treatment Outcome

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A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics.

Nature cancer Jul 3, 2024
Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin-stained tumor slides for precision oncology. We present ENLIGHT-DeepPT, an indirect two-step approach consisting of (1) DeepPT, a deep-learning framework that...
Neoplasms Gene Expression Profiling Transcriptome Deep Learning Humans Precision Medicine Treatment Outcome
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Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.

JACC. Cardiovascular interventions Jul 3, 2024
BACKGROUND: There is limited data on predicting successful chronic total occlusion crossing using primary antegrade wiring (AW).
Treatment Outcome Chronic Disease Predictive Value of Tests Registries Aged Male Middle Aged Time Factors Percutaneous Coronary Intervention Coronary Occlusion Humans Machine Learning Decision Support Techniques Female Reproducibility of Results Risk Factors
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Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population.

Epilepsy research Jul 1, 2024
PURPOSE: This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in...
Seizures Anticonvulsants Humans Treatment Outcome Machine Learning Support Vector Machine Algorithms Electroencephalography Female Epilepsy Young Adult Middle Aged Adult Male Adolescent Child India
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Overground Gait Training With a Wearable Robot in Children With Cerebral Palsy: A Randomized Clinical Trial.

JAMA network open Jul 1, 2024
IMPORTANCE: Cerebral palsy (CP) is the most common developmental motor disorder in children. Robot-assisted gait training (RAGT) using a wearable robot can provide intensive overground walking experience.
Humans Republic of Korea Female Male Wearable Electronic Devices Gait Disorders, Neurologic Child Gait Exercise Therapy Cerebral Palsy Treatment Outcome Exoskeleton Device Robotics Single-Blind Method Walking
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Advancing equity in breast cancer care: natural language processing for analysing treatment outcomes in under-represented populations.

BMJ health & care informatics Jul 1, 2024
OBJECTIVE: The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-repr...
Natural Language Processing Female Breast Neoplasms Humans United States Algorithms Electronic Health Records Treatment Outcome
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A commentary on 'A CT-based multitask deep learning model for predicting tumor stroma ratio and treatment outcomes in patients with colorectal cancer: a multicenter cohort study'.

International journal of surgery (London, England) Jul 1, 2024
Humans Tomography, X-Ray Computed Deep Learning Colorectal Neoplasms Cohort Studies Treatment Outcome
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Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm.

The Journal of thoracic and cardiovascular surgery Jun 29, 2024
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantation of coronary arteries. This study assessed the feasibility of valve-in-valve transcatheter aortic valve implantation after aortic root replacement.
Aged Aged, 80 and over Male Imaging, Three-Dimensional Artificial Intelligence Algorithms Retrospective Studies Female Heart Valve Prosthesis Computed Tomography Angiography Models, Cardiovascular Transcatheter Aortic Valve Replacement Bioprosthesis Treatment Outcome Aortic Valve Prosthesis Design Humans Feasibility Studies
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Predicting Therapeutic Response to Hypoglossal Nerve Stimulation Using Deep Learning.

The Laryngoscope Jun 27, 2024
OBJECTIVES: To develop and validate machine learning (ML) and deep learning (DL) models using drug-induced sleep endoscopy (DISE) images to predict the therapeutic efficacy of hypoglossal nerve stimulator (HGNS) implantation.
Treatment Outcome Endoscopy Humans Sleep Apnea, Obstructive Hypoglossal Nerve Male Tongue Retrospective Studies Middle Aged Electric Stimulation Therapy Female Deep Learning Adult
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An artificial intelligence-designed predictive calculator of conversion from minimally invasive to open colectomy in colon cancer.

Updates in surgery Jun 26, 2024
Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery may be associated with adverse effects on treatment outcomes. This study aimed to assess risk factors of conversion from minimally invasive to open cole...
Colectomy Conversion to Open Surgery Neoplasm Staging Laparoscopy Robotic Surgical Procedures Colonic Neoplasms Case-Control Studies Length of Stay Treatment Outcome Minimally Invasive Surgical Procedures Risk Factors Aged Humans Male Artificial Intelligence Middle Aged Female
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A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation.

Scientific reports Jun 26, 2024
Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocellular carcinoma (HCC), while prediction of long term treatment outcomes is a complex and multifactorial task. In this study, we present a novel machin...
Deep Learning Liver Neoplasms Humans Carcinoma, Hepatocellular Chemoembolization, Therapeutic Tomography, X-Ray Computed Treatment Outcome Female Aged Radiomics Male Middle Aged
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