Devices and Vaccines

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustained immunization and effective reduction of transmission. In high-burden settings, vaccination programs have expanded substantially, but there still exist differences in the immune response effect after vaccination and the phenomenon of post-vaccinati...

Application of a conversational AI system for voice-interactive history taking in neurosurgical patients.

BACKGROUND: ccurate and structured medical history taking is essential in neurosurgical practice, but repetitive inpatient interviews can be time-consuming for both clinicians and patients. Recent advances in conversational artificial intelligence (AI) and speech recognition have created new opportunities to support clinical documentation and patient communication. This pilot study evaluated the f...

Acoustic-based intraoperative assessment of femoral stem initial stability in cementless THA via sensitive frequency band identification.

Intraoperative assessment of femoral stem initial stability in cementless total hip arthroplasty (THA) predominantly relies on subjective tactile and ...

Real-Time Artificial Intelligence Assistance in Neuroendovascular Therapy: Comparative Analysis of Elective and Emergency Procedures.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has emerged as an adjunct in neuroendovascular interventions; however, its clinical utility re...

Acceptability, deviation, and efficiency of automated artificial intelligence-based implant planning methods: A comparison with human intelligence.

PURPOSE: To evaluate the acceptability, deviation, and efficiency of two automated, artificial intelligence-driven implant planning methods compared w...

Machine Learning-Assisted Portable Ai BOX Based on RPA-CRISPR/Cas12a for Rapid On-Site Detection of Foodborne Pathogens.

Foodborne pathogens present a major threat to global public health. However, conventional detection methods and equipment are often unsuitable for the...

Diagnostic performance of artificial intelligence in periapical radiography: a systematic review.

To systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models in periapical radiography for detection, classification, and...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning.

The exponential growth of legal documents in Ethiopia has created an urgent need for efficient and accurate automated classification systems tailored ...

Usefulness of lung sound data collection using Skeeper SM-300® device: A pilot study.

BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contac...

Ethical Responsibility in the Off-Label Use of AI in Medical Imaging.

AbstractArtificial intelligence in medical imaging (AI-MI), categorized by the U.S. Food and Drug Administration (FDA) as "Software as a Medical Devic...

The VP1 Protein of Foot-and-Mouth Disease Virus: Bridging Pathogenicity and Control Strategies.

The Foot-and-mouth disease virus (FMDV) is a highly contagious pathogen affecting cloven-hoofed animals. Its major structural protein, VP1, serves as ...

Optimizing treatment strategies for femoral neck fractures using a machine learning model.

BACKGROUND: Recently, advances in machine learning models have allowed for automatic and highly accurate detection of fractures. To date, however, no ...

Explaining sleep disorders in children after earthquakes using SHAP modelling: Container City modelling.

BACKGROUND: It is well-known that sleep disturbances and sleep-related traumas are the most common symptoms experienced by children following a trauma...

Distribution-informed machine learning for flash flood susceptibility: integrating weibull extreme value theory with interpretable models.

Flash floods represent one of the deadliest weather-related hazards globally, yet their prediction remains fundamentally challenged by extreme class i...

Proceedings from the 2025 Midwest Pediatric Device Consortium showcase featuring software as a medical device.

On July 9, 2025, the Midwest Pediatric Device Consortium hosted its second showcase at the MidTown Collaboration Center in Cleveland, OH. This meeting...

Electrically Reconfigurable Floating Gate Optoelectronic Synaptic Pixels for In-sensor Convolutional Image Feature Extraction with Built-in Contrast Enhancement.

Image feature extraction and enhancement are fundamental operations in real-time object detection using convolutional neural networks (CNNs). In conve...

Strategies of high-accuracy memristor-based analogue computing in memory for artificial intelligence.

Memristor-based analogue computing in memory (CIM) offers revolutionary gains in energy efficiency and computing power for data-intensive applications...

Federated sparse-learning framework for detecting low-rate stealth attacks in resource-constrained IoT devices.

Low-rate stealth attacks present a major challenge in Internet of Things (IoT) environments because their slow, irregular, and noise-like traffic patt...

Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macu...