Devices and Vaccines

Utilization and Feasibility of a Wearable Device in Patients With Sedative Effects of Drugs: Protocol for a Prospective Observational Study for the Advanced Respiratory Monitoring Events in Drug Toxicity (ARM-ED) Study.

BACKGROUND: Drug-related deaths worldwide are most commonly attributed to opioids. Opioids and other sedative drugs can cause respiratory depression and airway compromise, leading to hypoxia and death. Device technology and artificial intelligence used to detect drug overdose has the potential to improve outcomes. PneumoWave Ltd has developed a small chest-worn respiratory monitoring device to det...

Genomic evolution of SARS-CoV-2 delta variants pre- and post-omicron emergence using alignment-free machine learning models.

The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its enhanced transmissibility and vaccine-escape mutations, underwent further genomic changes following the emergence of the Omicron variant (B.1.1.529). This study investigates the genomic differences in Delta variant spike gene sequences collected before and after the emergence of Omicron. A total of 19...

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by providing a flexible and scalable platform to generate ...

Integrated photonic neural network with on-chip backpropagation training.

The robust and repeatable performance of scalable integrated photonic neural networks (PNNs)1-3 strongly depends on the quality of their training. Gra...

Predicting dental implant failure using machine learning: comparative evaluation of Random Forest, gradient boosting, and logistic regression with feature importance analysis.

Dental implant failure is influenced by anatomical, systemic, and procedural factors. This study assessed the predictive value of machine learning mod...

Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time-International Normalized Ratio and Activated Partial Thromboplastin Time.

BACKGROUND: Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable m...

Large Language Models for Cochlear Implant Education: A Comparison of ChatGPT, Gemini, Claude, and DeepSeek.

OBJECTIVE: Artificial intelligence-supported large language models (LLMs) have become increasingly widespread in recent years in the health communicat...

Al-enhanced Dynamic Virtual Patient Workflow for Full-arch Implant Rehabilitation.

Accurately recording implant positions and maxillomandibular relationships in completely edentulous patients for the fabrication of fixed implant-supp...

Short-Term Arrhythmia Prediction Using AI Based on Daily Data From Implantable Devices: Multicenter Prospective Observational Study.

BACKGROUND: Predictive medicine relies on algorithms to determine clinical treatments tailored to each patient's individual characteristics. Predictiv...

WARGM-PDPG: A dual-phase policy gradient graph mamba neural network for device placement algorithms.

As neural networks continue to scale in size and complexity, the computational capabilities of individual devices have become increasingly constrained...

A machine learning-based classification method for SynRM faults.

Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free con...

A decade-long shift in use of energy devices for BABA robotic thyroidectomy: automated video analysis by deep learning.

Bilateral axillo-breast approach robotic thyroidectomy (BABA RT) is a well-established minimally invasive surgical option; however, shifts in preferen...

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular retractors, lateral access corridors, image-guided n...

Are large language models consistent with the ASPS and AAPS guidelines? A comparison of AI chatbot recommendations and plastic surgery clinical guidance.

INTRODUCTION: Assessing the ability of AI chatbots to provide information consistent with clinical guidelines is essential for evaluating the accuracy...

Integrating phenotypic information of obstructive sleep apnea and deep representation of sleep-event sequences for cardiovascular risk prediction.

BACKGROUND: Advances in wearable and machine learning technologies have opened new possibilities for predicting cardiovascular (CV) risk. Moreover, th...

Nonvolatile Optoelectronic Synapses and Brain-Inspired Neuromorphic Applications Based on NbOCl2/α-In2Se3 Heterojunction.

Two-dimensional van der Waals heterostructures have emerged as promising candidates for next-generation optoelectronic devices owing to their tunable ...

Artificial intelligence as medical device in radiology in 2025: the regulatory scenario in the EU, USA, and China.

In the last decade, advanced AI methods were applied to radiology, providing tools for clinical practice. Regulations across countries are a relevant ...

"Development of a low-cost portable sequential detection sensor for quantification of fluoride and cyanide in water".

Safe drinking water monitoring requires inexpensive, on-site tools that can sensitively quantify multiple inorganic anions in complex matrices. We rep...

Exploring AI-driven deep learning approaches for optimizing space detection in single gap implantation based on CBCT images.

OBJECTIVE: Computer-assisted implant surgery (CAIS) is a valuable tool for improving implantation accuracy and efficiency, but its clinical implementa...

Advances in artificial intelligence enhanced robotics for dental implant placement: A scoping review.

OBJECTIVES: To map current evidence on artificial intelligence (AI)-enhanced robotic systems for dental implant placement, focusing on system autonomy...