Bioterrorism

Sentence-Level Cross-Referencing Improves Comprehension and Confidence in AI-Generated Patient-Friendly Radiology Reports: Design for Understanding.

OBJECTIVE: Determine whether the format of artificial intelligence (AI)-generated patient-friendly reports (PFRs) affects laypeople's comprehension of medical information. METHODS: In a within-subjects study, 116 participants viewed radiology reports alongside AI-generated PFR versions in three formats: dictionary (term definitions), block (full translation), and a novel sentence-based format (pai...

Harnessing artificial intelligence for automatic feedback in a virtual anatomy study tool: A Q-methodology study.

Objective structured practical examinations (OSPEs) are standard methods of evaluation in anatomy education. Despite their widespread use, student preparedness for this unique exam structure can be severely limited due to the lack of access to independent study opportunities with bodies and mock OSPEs. Additionally, significant resources are required to administer and grade OSPEs. Resource constra...

Improving Clinicians' Digital and Artificial Intelligence-Related Competence Within Healthcare Organizations in the United States: A Strategic Framework.

INTRODUCTION: In recent years, there has been an emerging wave of artificial intelligence (AI) and digital tools in healthcare, thereby revolutionizin...

MoGraphDRP: Multi-omics and graph fusion with bilinear attention for predicting drug sensitivity.

Accurate prediction of drug response in cancer cells is a fundamental step toward achieving precision medicine and designing personalized therapies. I...

A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction.

Effective feature selection is critical for building robust and interpretable predictive models, particularly in medical applications where identifyin...

Evaluation of Otolaryngology Provider Bias in Portal Messaging.

BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...

Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr B.P.

Climate change-related extreme events during the mid-late Holocene, especially around 3000 years before the present (yr B.P.), severely threatened hum...

Neoadjuvant Systemic Therapy in Kidney and Bladder Cancer: Current Evidence and Emerging Paradigms.

Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized genitourinary malignancies. In bladder cancer, neoad...

BESTDR Enables Bayesian Quantification of Mechanism-Specific Drug Responses.

UNLABELLED: Understanding drug responses at the cellular level is essential for elucidating mechanisms of action and advancing preclinical drug develo...

Predicting Non-Response to Multicomponent Treatment in Fibromyalgia: Development and Validation of a Machine Learning Model.

BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, and pain neuroscience education demonstrate overall ...

Mortality risk during the COVID-19 pandemic is shaped by human development.

BACKGROUND: During the global COVID-19 pandemic (2020-2021), excess mortality varied substantially across countries. Notably, upper-middle-income coun...

Research priorities for data science and artificial intelligence in global health: an international consensus exercise.

Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned wit...

Tape-assisted nanoplasmonic biosensors for facile protein-on-chip visualization and multiplexed point-of-care diagnostics.

Visual point-of-care testing (POCT) technologies convert biomolecular events into naked-eye readable signals. These systems offer rapid assay times, u...

Virtual reality and augmented reality technology for safety training in high-risk industries: A literature review on applications, perspectives and challenges.

BackgroundHigh-risk industries such as construction, mining, and oil and gas consistently face significant safety challenges due to inherently hazardo...

Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for controlling disease spread among international tra...

Deep learning-assisted tumor radiomic dynamics on MRI predict pathological complete response in HCC undergoing immune-based therapy followed by hepatectomy.

BACKGROUND AIMS: Pathological complete response (pCR) following conversion therapy for initially unresectable hepatocellular carcinoma (uHCC) remains ...

Using machine learning to identify the strongest personal, school, and family correlates of youth mental health and well-being.

Research has identified numerous personal, school, and family factors associated with youth mental health, yet it remains unclear which correlates bes...

Artificial Intelligence and Public Health Data in Emergencies: A Critical Issue in the Middle East.

Timely access to reliable public health data is a critical determinant of effective response to health emergencies, including disease outbreaks, clima...

Survey on mathematical modeling of infectious disease dynamics: insights and applications.

Mathematical modeling has become an indispensable tool for understanding, predicting, and controlling the spread of infectious diseases. Over the year...

Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.

BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deterioration before cardiac arrest occurs. Since 2020, Japan...