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Subcategories: Devices and Vaccines Prescriptions

Showing 1219-1239 of 10,587 articles

Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up.

Given the growing burden of colorectal cancer (CRC) as a global health challenge, it becomes imperat...

May 2025 40496357

Effect of Deep Learning-Based Image Reconstruction on Lesion Conspicuity of Liver Metastases in Pre- and Post-contrast Enhanced Computed Tomography.

The purpose of this study was to investigate the utility of deep learning image reconstruction at me...

May 2025 40355690

A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic di...

May 2025 40355437

Deeply Explainable Artificial Neural Network

While deep learning models have demonstrated remarkable success in numerous domains, their black-b...

May 2025 http://arxiv.org/abs/2505.06731v1

Structural Investigation and Enriched Catalysis of Cu-Complex-Encapsulated Microporous Catalyst with Pragmatic Modeling for Prediction of Activity by Using Machine Learning.

Silicoaluminophosphates (SAPOs) are structurally diverse materials widely used in separation, cataly...

May 2025 40344366

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation,...

May 2025 40341247

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is use...

(1)

May 2025 40341055

Prediction via Shapley Value Regression

Shapley values have several desirable, theoretically well-supported, properties for explaining bla...

May 2025 http://arxiv.org/abs/2505.04775v1

GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance

In the realm of cancer treatment, summarizing adverse drug events (ADEs) reported by patients usin...

May 2025 http://arxiv.org/abs/2505.04284v1

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations

Group Recommender Systems (GRS) employing social choice-based aggregation strategies have previous...

May 2025 http://arxiv.org/abs/2505.04273v1

The effects of the post-delay epochs on working memory error reduction.

Accurate retrieval of the maintained information is crucial for working memory. This process primari...

May 2025 40359421

Accuracy of Machine Learning in Predicting Post-Stroke Depression: A Systematic Review and Meta-Analysis.

INTRODUCTION: Post-stroke depression is one of the important complications of stroke and affects pat...

May 2025 40418113

Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...

May 2025 40310715

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

May 2025 40354306

In defence of post-hoc explanations in medical AI

Since the early days of the Explainable AI movement, post-hoc explanations have been praised for t...

Apr 2025 http://arxiv.org/abs/2504.20741v1

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

The aim is to create a method for accurately estimating the duration of post-cancer treatment, par...

Apr 2025 http://arxiv.org/abs/2504.16135v1

Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT

This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in...

Apr 2025 http://arxiv.org/abs/2504.15052v1

Apr 2025 http://arxiv.org/abs/2504.11106v1

Browse Categories

Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up.

Effect of Deep Learning-Based Image Reconstruction on Lesion Conspicuity of Liver Metastases in Pre- and Post-contrast Enhanced Computed Tomography.

A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Deeply Explainable Artificial Neural Network

Structural Investigation and Enriched Catalysis of Cu-Complex-Encapsulated Microporous Catalyst with Pragmatic Modeling for Prediction of Activity by Using Machine Learning.

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

Prediction via Shapley Value Regression

GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations

The effects of the post-delay epochs on working memory error reduction.

Accuracy of Machine Learning in Predicting Post-Stroke Depression: A Systematic Review and Meta-Analysis.

Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

In defence of post-hoc explanations in medical AI

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models

Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events

Seedream 3.0 Technical Report

Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models

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