AI Medical Compendium

How AI is shaping the war in Iran - and what's next for future conflicts.

Nature Mar 5, 2026

Understanding flow experiences in online EFL learning: Perspectives from Vietnamese undergraduates.

Acta psychologica Mar 5, 2026

The study investigates Vietnamese EFL undergraduates' Flow experiences within the online learning context. The research aims to identify the extent to which Vietnamese undergraduates experienced Flow in online EFL contexts through the lens of the eig... read more

A deep learning-based method for evaluating the fitting states of orthokeratology lenses using fluorescein staining videos.

Contact lens & anterior eye : the journal of the British Contact Lens Association Mar 5, 2026

PURPOSE: To develop and validate an automated deep learning-based tool for evaluating the fitting states of orthokeratology lenses using a dual-stream architecture based on ResNet-50 and a temporal attention module, compare its performance to the man... read more

Forecasting-based biomedical time-series data synthesis for open data and robust AI.

Computers in biology and medicine Mar 5, 2026

The limited data availability due to strict privacy regulations and significant resource demands severely constrains biomedical time-series AI development, which creates a critical gap between data requirements and accessibility. Synthetic data gener... read more

Neuroimaging insights into the neurophysiological subtypes of major depressive disorder.

Biological psychiatry Mar 5, 2026

Major depressive disorder (MDD) is a highly heterogeneous condition that limits the reliability of symptom-based diagnosis and treatment selection. In response, neuroimaging-based subtyping has emerged as a promising strategy to address this heteroge... read more

Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis.

Journal of biomedical informatics Mar 5, 2026

BACKGROUND: Clinical decision-making for cancer immunotherapy is challenged by the heterogeneous and often incomplete nature of patient time-series data. Traditional models struggle to account for individual patient variability and frequently underpe... read more

Scalable discovery and validation of order-specific electronic health record event trajectories for interpretable adverse-outcome risk estimation.

Journal of biomedical informatics Mar 5, 2026

OBJECTIVE: Clinicians must estimate patients' risk of adverse outcomes, yet many electronic health record tools represent health history as an unordered "bag of codes," discarding temporal order. Machine learning tools that leverage sequence order ma... read more

Spatiotemporal dynamics and future predictions of ecosystem service synergies and trade-offs in China.

Environmental research Mar 5, 2026

Ecosystems provide extensive benefits to human well-being through food production, climate regulation, and cultural services. Climate change and socioeconomic development have substantially altered the capacity of ecosystem services and pose ongoing ... read more

Associations of PM2.5 and PAHs from wildland fires with pregnancy outcomes: evidence based on high-resolution exposure assessment.

Environmental research Mar 5, 2026

Wildfire threats are increasing dramatically and compromising decades of progress in air quality improvements. However, research on wildfire PM2.5 and preterm birth (PTB) remains limited. No studies have examined wildfire-emitted polycyclic aromatic ... read more

Phenotypic clustering of myocardial infarction complicated by out-of-hospital cardiac arrest using unsupervised machine learning.

Resuscitation Mar 5, 2026

BACKGROUND: Patients with myocardial infarction (MI) complicated by out-of-hospital cardiac arrest (OHCA) represent a heterogeneous population with variable outcomes. Data-driven approaches may help uncover clinically meaningful subgroups to improve ... read more

Artificial Intelligence Medical Compendium