Bioterrorism

Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, necess...

Invited Response to "Writing an Abstract: Humans or ChatGPT?".

In response to Matsubara's commentary on our study of ChatGPT-generated abstracts, we clarify that o...

Enhancing Electroencephalogram-Based Prediction of Posttraumatic Stress Disorder Treatment Response Using Data Augmentation.

OBJECTIVE: This study aimed to improve the prediction of treatment response in patients with posttra...

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for t...

World Endoscopy Organization's Response to the World Health Organization's Global Initiative on Artificial Intelligence for Health.

In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (A...

Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction.

Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs)...

Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.

BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insuff...

Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for ...

AI-based assessment of pulmonology inpatient consultation note completeness: predicting documentation gaps and response delays.

OBJECTIVES: Inpatient consultation notes frequently suffer from incomplete documentation, which may ...

Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Alt...

Response to: 'Using artificial intelligence to provide a "flipped assessment" approach to medical education learning opportunities'.

Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models.

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity...

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting a...

Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI.

BACKGROUND: Neoadjuvant therapy plays a pivotal role in breast cancer treatment, particularly for pa...

Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.

DNA damage response (DDR) and crotonylation occur frequently in lung adenocarcinoma (LUAD), but thei...

3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations.

Skin, the primary regulator of heat exchange, relies on sweat glands for thermoregulation. Alteratio...

Exploring Neural Idiosyncrasies in Response to Autonomous Sensory Meridian Response Videos: Naturalistic Functional Magnetic Resonance Imaging Study of Stress and Sensory Processing.

BACKGROUND: Autonomous sensory meridian response (ASMR) videos have been increasingly popularized as...

Wide-/Narrow-Bandgap Heterojunction for High Performance Differential Photodetector with Tunable Response.

Amid the rapid advancement in modern photonics and artificial intelligence, optoelectronic devices w...

Response by Hijazi et al to Letter Regarding Article, "Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure".

Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.

The increasing demand for sustainable construction materials has prompted the investigation of non-b...

Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.

BACKGROUND: The variability in treatment response in people with rheumatoid arthritis (RA) warrants ...