Nephrology

Anemia

Latest AI and machine learning research in anemia for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 820-840 of 3,603 articles
Evaluating the Large Language Model-Based Quality Assurance Tool for Auto-Contouring

Purpose: Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-rel...

Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images

Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ra...

Heterogenous treatment effects of blood transfusion in hospitalized patients with congestive heart failure

Background: Anemia is nearly ubiquitous in hospitalized patients with congestive heart failure (CHF)...

Towards Equitable Robotic Furnishing Agents for Aging-in-Place: ADL-Grounded Design Exploration

In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, a...

Improved Classification of Acute Physical Fatigue Using Salivary Proteomic Biomarkers: An Exploratory Study

Introduction: Physical fatigue is a key determinant of operational readiness in the physically deman...

Harnessing AI and social media to understand real-world patient experiences in systemic lupus erythematosus

Objective: To apply large language models (LLMs) to Reddit posts referencing systemic lupus erythema...

Multi-Model Clinical Validation of an AI-Powered Biomarker Analysis Framework: A Cross-Vendor Benchmark on 4,018 NHANES Patients

Background: Large language models (LLMs) show promise for clinical decision support, yet most valida...

A custom phenotypic profile for Fanconi anemia: Addressing gaps in existing disease annotations

Fanconi anemia (FA) is a rare genetic disorder of impaired DNA repair characterized by progressive b...

Benchmarking Artificial Intelligence Models for Daily Coastal Hypoxia Forecasting

Coastal hypoxia, especially in the northern part of Gulf of Mexico, presents a persistent ecological...

Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning

Childhood anemia remains a major public health challenge in Nepal and is associated with impaired gr...

Machine Learning-Based Non-Invasive Diagnosis of Anemia in Children Using Palm Image Analysis

Abstract: Anemia, particularly iron-deficiency anemia, is a critical global health concern, with a h...

Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...

EndoExtract: Co-Designing Structured Text Extraction from Endometriosis Ultrasound Reports

Endometriosis ultrasound reports are often unstructured free-text documents that require manual abst...

Domain-separated capsule network for damage detection in aluminum plates under varying vibration conditions.

The 2024 aluminum alloy, known for its high strength and resistance to fatigue, is widely used in cr...

Oct 2025 40381421
Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platf...

Oct 2025 40413905
Photoacoustic-Integrated Multimodal Approach for Colorectal Cancer Diagnosis.

Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...

Jul 2025 40592765
Stable Tracking-in-the-Loop Control of Cable-Driven Surgical Manipulators under Erroneous Kinematic Chains

Remote Center of Motion (RCM) robotic manipulators have revolutionized Minimally Invasive Surgery,...

Identifying smart technology and artificial intelligence solutions for human factors and ergonomic challenges in all-hazard response: A survey study.

Emergency responders face significant human factors and ergonomic (HF/E) challenges related to physi...

Jul 2025 40081295
Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach.

BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for anal...

Jul 2025 40153889
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