Risk Management

Interpretable ESG-sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment.

Accurate forecasting of financial time series increasingly relies on alternative data such as environmental, social and governance (ESG) scores and news-based sentiment, yet the way these signals interact and when they actually improve forecasts is still poorly understood. We introduce an interpretable hybrid framework for asset return forecasting that combines a Temporal Fusion Transformer (TFT) ...

What's New: Sub-5-minute Knee Magnetic Resonance Imaging- Spectrum of Sports Injuries and Overuse Conditions.

Knee injuries are one of the most common complaints in sports medicine. Magnetic resonance imaging is an essential adjunct to clinical evaluation for many traumatic injuries and overuse conditions. Given the heavy use of knee magnetic resonance imaging, developing faster magnetic resonance imaging acquisition methods and deployment in clinical practice would be valuable. In this article, we illust...

Visual assessment of AI-reconstructed knee MRI: A pilot study.

INTRODUCTION: Artificial intelligence is increasingly influencing medical imaging workflows by enhancing image quality and reducing acquisition time. ...

Minimum Clinically Achievable Dose for Detecting Liver Lesions Using Deep Learning Image Reconstruction: A Phantom and Patient Study.

RATIONALE AND OBJECTIVES: To investigate the performance of deep learning image reconstruction (DLIR) at an ultra-low dose of approximately 4.5 mGy fo...

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists' real-world adoption patte...

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial.

BACKGROUND: Visual impairment (VI) affects more than 600 million people globally and significantly reduces quality of life. In Singapore, 20% of adult...

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is ofte...

Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.

The introduction of foundational models, specifically large language models, has promised a health care transformation. However, the field is rapidly ...

Digital Skills Assessments in Occupational Therapy: A Scoping Review.

IMPORTANCE: Digital skills are increasingly essential in performing daily activities. Occupational therapy practitioners require valid and accessible ...

Retrieval Augmented Generation (RAG) for Evaluating Regulatory Compliance of Drug Information and Clinical Trial Protocols.

The purpose was to evaluate retrieval-augmented generative (RAG) artificial intelligence (AI) methods for assessing the regulatory compliance of drug ...

A Comprehensive Risk Analysis Framework for Medical AI: A Mixed-Methods Approach.

Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of ch...

InclusiveHAR: A smartphone-based dataset for human activity recognition across diverse physical abilities.

Human Activity Recognition (HAR) has numerous applications in healthcare, rehabilitation, athletics, and smart environments. Effective AI models rely ...

Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture.

This paper presents a three-phase deep learning framework comprising (i) multi-modal data acquisition from drones and satellites, (ii) standardized pr...

AI in clinical trials: Current status, challenges, and future directions for emergency infectious disease clinical trials -Insights from the 2025 iCROWN Symposium.

Artificial intelligence (AI) has the potential to transform how drug development and clinical trials are conducted. The 2025 Infectious Disease Clinic...

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income c...

Impact of Imaging Acquisition and Protocol Variability on Artificial Intelligence Model Performance: A Secondary Analysis of the ASFNR Artificial Intelligence Competition.

BACKGROUND AND PURPOSE: Artificial intelligence (AI) models have shown promise in neuroradiology, yet their real-world generalizability remains uncert...

Benchmarking quantum kernels and modern vision models for compound facial expression recognition.

We present a unified, compute-accounted comparison of seven pipelines for compound facial-expression recognition on RAF-DB: two classical hybrids (Res...

Advancing specific local wine identification through integration of ICP-MS mineral wine profiles and Machine Learning: A case study on discrimination among the ten Beaujolais crus.

The Beaujolais vineyard, located in France's Auvergne-Rhône-Alpes region, is internationally recognized for its geological diversity and the strong id...

Effectiveness of natural language intelligence technology in chronic diseases nursing: A systematic review and meta-analysis.

BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured data for continuous care. Natural language intellig...

Protocol for a pragmatic trial comparing navigator and automated virtual interventions for guaranteeing adherence to fecal immunochemical testing (NAVIGATE-FIT).

BACKGROUND: Fecal immunochemical testing (FIT) - a non-invasive colorectal cancer (CRC) screening method offers an opportunity to bridge CRC screening...