AI Medical Compendium

Applying machine learning to identify unrecognized COVID-19 deaths recorded as other causes of death in the United States.

Science advances Mar 18, 2026

The actual number of US deaths caused by severe acute respiratory syndrome coronavirus 2 infection has been investigated and debated since the start of the COVID-19 pandemic. Here, we use machine learning trained on US death certificates from March 2... read more

Design and Photophysical Engineering of Functional Organic Luminogens for Precision Cancer Theranostics.

ACS applied bio materials Mar 18, 2026

Cancer remains a significant global health challenge, necessitating innovative therapeutic strategies. Functional organic luminogens have emerged as a versatile class of biomaterials for cancer theranostics, enabling the integration of diagnostic ima... read more

Detection of Non-diabetic Kidney Disease in Patients with Diabetes Using Machine Learning and Electronic Medical Record Data.

Kidney & blood pressure research Mar 18, 2026

INTRODUCTION: The identification of non-diabetic kidney disease (NDKD) in diabetic patients is critically important. Unlike diabetic nephropathy, NDKD often requires additional therapeutic interventions beyond standard diabetes care. There is a need ... read more

Dynamic Personalized Optimization: An AI Functionality Framework for Digital Therapeutics.

JMIR medical informatics Mar 18, 2026

Dynamic Personalized Optimization (DPO) is introduced as a conceptual framework that defines core artificial intelligence (AI) functions required to deliver real-time, personalized, and optimized treatment in digital therapeutics (DTx). DPO continuou... read more

Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis.

Journal of medical Internet research Mar 18, 2026

BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT) in patients with anxiety disorders. Identifying potential responders in advance may help inform tr... read more

Interrater Reliability of Electroencephalogram Interpretations in Febrile Comatose African Children: Implications for Automated Interpretation Algorithm Creation.

The American journal of tropical medicine and hygiene Mar 18, 2026

Electroencephalography (EEG) is a diagnostic and prognostic tool used worldwide in the clinical care of comatose patients. Scalability of EEG use in resource-limited settings is constrained by multiple factors, including the lack of neurophysiologist... read more

Text-guided automatic segmentation of clinical target volume in rectal cancer radiotherapy.

Physics in medicine and biology Mar 18, 2026

OBJECTIVE: Current automatic segmentation models in radiotherapy, which are predominantly unimodal and image-based, have limited generalizability due to boundary ambiguity and the lack of guideline integration. This study proposes a text-guided segme... read more

Towards real-time sleep stage classification: A deep learning approach leveraging PPG and ECG.

Physiological measurement Mar 18, 2026

OBJECTIVE: This work aims to enable adaptive Consumer Sleep Technologies (CSTs) for sleep intervention by developing a deep learning model for sleep stage classification using wearable sensor data. APPROACH: We propose an end-to-end deep learning app... read more

Effects of physically embodied educational robots on children's learning outcomes: A meta-analysis.

Acta psychologica Mar 18, 2026

Physically embodied educational robots (PERs) are increasingly integrated into classrooms, yet evidence on their impact on children's learning remains heterogeneous. This meta-analysis synthesizes 34 independent studies (N = 3665) to estimate the ove... read more

Independent evaluation of deep learning models for detecting focal cortical dysplasia.

Epilepsy research Mar 18, 2026

The purpose of this study is to perform an independent assessment of three state-of-the-art tools for the detection of focal cortical dysplasia (FCD) from Magnetic Resonance images (MRI). These tools include DeepFCD, the Multi-center Epilepsy Lesion ... read more

Artificial Intelligence Medical Compendium