Cardiovascular - Page 118 | AI Medical Compendium

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Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 2458-2478 of 6,832 articles

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic reso...

Feb 2025 http://arxiv.org/abs/2502.04493v2

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in bre...

(2)

Feb 2025 http://arxiv.org/abs/2502.04083v1

Gamma/hadron separation in the TAIGA experiment with neural network methods

In this work, the ability of rare VHE gamma ray selection with neural network methods is investiga...

Feb 2025 http://arxiv.org/abs/2502.01500v1

Computational modelling of cancer nanomedicine: Integrating hyperthermia treatment into a multiphase porous-media tumour model

Heat-based cancer treatment, so-called hyperthermia, can be used to destroy tumour cells directly ...

Feb 2025 http://arxiv.org/abs/2502.01248v1

Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity o...

Feb 2025 39471486

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

Feb 2025 39812582

Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Background Combined mammography and MRI screening is not universally accessible for women with inter...

(1)

Feb 2025 39903070

An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification.

BACKGROUND: This research aims to use deep learning to create automated systems for better breast ca...

(1)

Feb 2025 39921233

Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning.

The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...

Feb 2025 39976334

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence

Full-Field Digital Mammography (FFDM) is the primary imaging modality for routine breast cancer sc...

(1)

Jan 2025 http://arxiv.org/abs/2501.19176v1

A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images

Rationale and Objectives: Early prediction of pathological complete response (pCR) can facilitate ...

(1)

Jan 2025 http://arxiv.org/abs/2502.00051v1

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology

Background: The radiation oncology clinical practice involves many steps relying on the dynamic in...

Jan 2025 http://arxiv.org/abs/2501.17286v1

Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data

This study explores a data-driven approach to discovering novel clinical and genetic markers in ov...

Jan 2025 http://arxiv.org/abs/2501.15881v1

Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy

Fiducial marker positions in projection image of cone-beam computed tomography (CBCT) scans have b...

(1)

Jan 2025 http://arxiv.org/abs/2501.15660v1

Synthetic CT image generation from CBCT: A Systematic Review

The generation of synthetic CT (sCT) images from cone-beam CT (CBCT) data using deep learning meth...

(1)

Jan 2025 http://arxiv.org/abs/2501.13972v1

Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction

Measurement quality assurance (QA) practices play a key role in the safe use of Intensity Modulate...

Jan 2025 http://arxiv.org/abs/2501.08963v1

Prediction of Binding Affinity for ErbB Inhibitors Using Deep Neural Network Model with Morgan Fingerprints as Features

The ErbB receptor family, including EGFR and HER2, plays a crucial role in cell growth and surviva...

(2)

Jan 2025 http://arxiv.org/abs/2501.05607v1

End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT

Objective: There exist several X-ray computed tomography (CT) scanning strategies to reduce a radi...

(1)

Jan 2025 http://arxiv.org/abs/2501.05085v1

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction

Survival prediction is a crucial task in the medical field and is essential for optimizing treatme...

Jan 2025 http://arxiv.org/abs/2501.02778v1

Guiding Treatment Strategies: The Role of Adjuvant Anti-Her2 Neu Therapy and Skin/Nipple Involvement in Local Recurrence-Free Survival in Breast Cancer Patients

This study explores how causal inference models, specifically the Linear Non-Gaussian Acyclic Mode...

Jan 2025 http://arxiv.org/abs/2501.04724v1

Mechanistic modeling and machine learning identifies optimum radiotherapy schedules to prevent treatment-induced metastasis

Lung cancer patients often experience increased metastasis formation after radiotherapy. However, it...

Jan 2025 10.1101/2025.07.02.662373