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Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Mitigating medical dataset bias by learning adaptive agreement from a biased council.

Dataset bias in images is an important yet less explored topic in medical images. Deep learning coul...

Artificial intelligence-enhanced electrocardiogram diastolic function grade predicts post-septal myectomy mortality in hypertrophic cardiomyopathy.

BACKGROUNDS: Diastolic dysfunction is an important pathophysiologic feature of hypertrophic cardiomy...

Regulating the future of laboratory medicine: European regulatory landscape of AI-driven medical device software in laboratory medicine.

Artificial intelligence (AI) is rapidly transforming laboratory medicine, impacting medical devices ...

MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.

Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and co...

Artificial Optoelectronic Synapse Featuring Bidirectional Post-Synaptic Current for Compact and Energy-Efficient Neural Hardware.

Conventional hardware neural networks (HW-NNs) have relied on unidirectional current flow of artific...

ToPoMesh: accurate 3D surface reconstruction from CT volumetric data via topology modification.

Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and r...

Pharmacovigilance in the digital age: gaining insight from social media data.

Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy.

BACKGROUND: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advan...

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

INTRODUCTION: The adoption of artificial intelligence (AI) is gaining increased interest in medical ...

Industrial-scale prediction of cement clinker phases using machine learning.

Cement production exceeds 4.1 billion tonnes annually, emitting 2.4 billion tonnes of CO annually, n...

Correlation Between Neurocognitive Outcomes and Neuroaxonal Connectome Alterations After Whole Brain Radiotherapy: A Proof-of-Concept Study.

Connectomics is an evolving branch of neuroscience that determines structural and functional connec...

Shining the Beam on the Next Generation: A Program Evaluation of a National Workshop Focusing on Medical Student Engagement in Radiation Oncology.

The rising cancer incidence has increased demand for radiation oncologists, surpassing current staff...

UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...

Exploring the Essential Competencies for Medical Education in the Post-COVID-19 Pandemic Era: A Mixed-Methods Investigation at a Japanese Medical School.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to considerable advances in med...

Harnessing integrated bioinformatics to identify new diagnostic and therapeutic strategies for heart failure.

Heart failure (HF) is a life-threatening condition that poses a significant challenge on public heal...

AI tool flags people at high risk of post-partum depression.

A review on adverse drug reaction related to medication in health sector: an account of what we have discovered and implemented-pharmacovigilance.

Despite the extensive research on medication-related adverse events (MRAEs) in healthcare, the asses...

Beyond Traditional Simulation: An Exploratory Study on the Effectiveness and Acceptability of ChatGPT‑4o Advanced Voice Mode for Communication Skills Practice Among Medical Students.

Background Effective communication skills are essential for quality medical practice and patient car...

Clinical Validation and Post-Implementation Performance Monitoring of a Neural Network-Assisted Approach for Detecting Chronic Lymphocytic Leukemia Minimal Residual Disease by Flow Cytometry.

: Flow cytometric detection of minimal residual disease (MRD) in chronic lymphocytic leukemia (CLL) ...