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Comparative analysis of cervical cancer classification of DPAGCHE enhanced Pap smear images using convolutional neural network models

Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models.

Automated cervical cancer detection improves with DPAGCHE-enhanced images, achieving 84.15% accuracy using ResNet50. 📈🩺

September 9, 2025

New AI Tool Enhances Data Fairness in Health Algorithms

⚖️ AI Ethics 🤖 Machine Learning 📰 News 🌍 Public Health

New AI Tool Enhances Data Fairness in Health Algorithms

New AI tool AEquity identifies and reduces biases in health datasets, enhancing accuracy and fairness in health algorithms. 🏥🤖

September 8, 2025

The promises and perils of artificial intelligence in clinical medicine a dual perspective from internal medicine and pediatrics

🤖 Machine Learning 👶 Pediatrics

The promises and perils of artificial intelligence in clinical medicine: a dual perspective from internal medicine and pediatrics.

Exploring AI's impact on clinical medicine: benefits and challenges in internal medicine and pediatrics. 🤖⚕️

September 8, 2025

Review of Retinopathy of Prematurity Management in the Anti VEGF Era Evolving Global Paradigms Persistent Challenges and Our AI Assisted Future

🤖 Machine Learning 👁️ Ophthalmology 🌐 Telehealth

Review of Retinopathy of Prematurity Management in the Anti-VEGF Era: Evolving Global Paradigms, Persistent Challenges and Our AI-Assisted Future.

Retinopathy of Prematurity: Anti-VEGF Impact & AI's Role in Screening 🌍👶

September 8, 2025

Weekly Health AI Digest September 08 2025

📰 News

Weekly Health & AI Digest – September 08, 2025

Here are the latest breakthroughs in health & AI (September 08, 2025 week) 🔹 Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study. NLP identifies transportation insecurity in 0.6% of ophthalmology patients, enhancing access to...

September 8, 2025

Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing Retrospective Cross Sectional Study

🤖 Machine Learning 👁️ Ophthalmology

Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study.

NLP identifies transportation insecurity in 0.6% of ophthalmology patients, enhancing access to care. 🚗👁️

September 8, 2025

Effect of an AI agent trained on a large language model LLM as an intervention for depression and anxiety symptoms in young adults A 28 day randomized controlled trial

🧠 Mental Health

Effect of an AI agent trained on a large language model (LLM) as an intervention for depression and anxiety symptoms in young adults: A 28-day randomized controlled trial.

AI agents reduce depression and anxiety in young adults: 28-day trial shows significant improvements! 📉🤖

September 7, 2025

Practice effects on digital cognitive assessment tools insights from the defense automated neurobehavioral assessment battery

🎓 Digital Health Education 🧠 Digital Therapeutics 🤖 Machine Learning

Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery.

Digital cognitive assessments reveal modest practice effects, impacting response times in cognitive monitoring. Key findings from DANA study. 📊🧠

September 7, 2025

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Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models.

New AI Tool Enhances Data Fairness in Health Algorithms

The promises and perils of artificial intelligence in clinical medicine: a dual perspective from internal medicine and pediatrics.

Review of Retinopathy of Prematurity Management in the Anti-VEGF Era: Evolving Global Paradigms, Persistent Challenges and Our AI-Assisted Future.

Weekly Health & AI Digest – September 08, 2025

Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study.

Effect of an AI agent trained on a large language model (LLM) as an intervention for depression and anxiety symptoms in young adults: A 28-day randomized controlled trial.

Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery.

Prevention of frailty in the elderly: an expert-based evaluation of measures proposed by artificial intelligence.

AI Health Support System Launched in Warrington GP Surgeries

A Latent Variable Approach for Causal Effect Estimation Under Misclassified Treatment Assignment.

AI-Driven Protein Design Enhances Development of Intracellular Antibodies

Systems biology in the era of AI: “winter” or “evolution”?

Need for International Standards in AI Testing for Healthcare

Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future.

EcoRxAgent: an AI agent for generating economically substitutable prescriptions.

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.

Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.