Blog

Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Expert consensus on apical mucosal preservation in HoLEP shows 85% agreement, crucial for AI model accuracy. 🤖🔍

December 5, 2025

Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

🧠 Digital Therapeutics 🎮 Gamification 🤖 Machine Learning 🌐 Telehealth 🧑‍🦽 Rehabilitation

Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

AI-driven virtual physiotherapy assistants enhance home rehabilitation, improving adherence and outcomes. Key challenges include sensor accuracy and engagement. 🤖🏡

December 5, 2025

Quantitative Imaging for Interstitial Lung Disease.

🤖 Machine Learning 🥗 Nutrition 🛌 Palliative Care 🧪 Pathology 🧬 Rare Diseases 🗣️ Speech Recognition 🏢 Work Health

Quantitative Imaging for Interstitial Lung Disease.

Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁

December 5, 2025

Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?

🦷 Dentistry 🧪 Lab Medicine 🤖 Machine Learning

Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?

Exploring AI's role in dentistry: potential impacts on decision-making and patient outcomes. 🤖🦷

December 4, 2025

Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.

🫀 Cardiology 🏥 Hospital Management 🤖 Machine Learning 🌍 Public Health

Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.

Lung cancer survival prediction enhanced by dual time point CT scans. 📊 Study shows improved accuracy using foundation models. 🩺

December 4, 2025

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

🧬 Genetics 🤖 Machine Learning 🤰 Obstetrics & Gynecology

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69 for preterm prediction. 📊👶

December 4, 2025

Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.

⚖️ AI Ethics 💉 Allergy & Immunology 🤖 Machine Learning

Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.

Deep learning predicts live births in recurrent implantation failure with 87.4% accuracy. Key factors: age, Th1/Th2 ratio, BMI. 📊🤰

December 3, 2025

Evaluating EEG-to-text models through noise-based performance analysis.

🧠 Brain-Computer Interfaces 🤖 Machine Learning

Evaluating EEG-to-text models through noise-based performance analysis.

EEG-to-text models show potential but may memorize patterns instead of learning. Rigorous evaluation needed! 🧠📊

December 3, 2025

Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.

🤖 Machine Learning 🧠 Mental Health 🌍 Public Health

Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.

Machine learning predicts mental health impacts in Ukraine's war, revealing key drivers of PTSD and anxiety. 📊🧠

December 3, 2025

Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.

🚑 Critical Care 🤖 Machine Learning

Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.

Machine learning identifies clinical variances linked to prolonged hospital stays, enhancing patient management. 📊🏥

December 2, 2025

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Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.

Enhancing home rehabilitation through AI-driven virtual assistants: a narrative review.

Quantitative Imaging for Interstitial Lung Disease.

Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?

Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.

Evaluating EEG-to-text models through noise-based performance analysis.

Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.

Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.

The use of digital gamification, extended reality, artificial intelligence, and integrated digital learning tools in palliative care education of undergraduate nurses: A systematic review.

Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.

Computational biology for cell-free systems.

Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape.

Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.

An Artificial Intelligence-Driven Platform for Practice Question Generation.

Sonia Patel to Depart as NHS England Chief Technology Officer

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.

NHS Wales App Enhances Patient Access to Waiting List Information