Devices and Vaccines

Fully automated workflow for designing patient-specific orthopaedic implants: Application to total knee arthroplasty.

Background Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in ...

Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction.

Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-bei...

Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a ...

Intelligent Virtual Dental Implant Placement via 3D Segmentation Strategy.

Virtual dental implant placement in cone-beam computed tomography (CBCT) is a prerequisite for digit...

Machine learning model for prediction of coronavirus disease 2019 within 6 months after three doses of BNT162b2 in Hong Kong.

INTRODUCTION: We aimed to develop a machine learning (ML) model to predict the risk of coronavirus d...

Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery.

The integration of wearable medical devices into surgical practice has transformed the field, enabli...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality an...

MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.

Accurate assessment of drug combination risk levels is crucial for guiding rational clinical medicat...

The rise of robotics and AI-assisted surgery in modern healthcare.

The integration of robotics and artificial intelligence (AI) in surgery represents a transformative ...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

A Generative AI-Assisted Piezo-MEMS Ultrasound Device for Plant Dehydration Monitoring.

Plant health, closely tied to hydration, has a direct impact on agricultural productivity, making th...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

A compact neuromorphic system for ultra-energy-efficient, on-device robot localization.

Neuromorphic computing offers a transformative pathway to overcome the computational and energy chal...

Artificial intelligence in dentistry: a narrative review of applications, challenges, and future directions.

Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in d...

Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq.

Vaccination has long been recognized as the most effective means for disease prevention, yet concern...

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study.

BACKGROUND: The COVID-19 pandemic has been accompanied by an unprecedented infodemic characterized b...

ECG-Based Detection of Acute Myocardial Infarction using a Wrist-Worn Device.

BACKGROUND: A wrist-worn wearable device for acquiring limb and chest ECG leads (wECG) may constitut...

Author Correction: Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients.

Preclinical Investigation of Artificial Intelligence-Assisted Implant Surgery Planning for Single Tooth Defects: A Case Series Study.

INTRODUCTION: Dental implant surgery has become a prevalent treatment option for patients with singl...

Development of Machine Learning Models to Predict Tumor Endoprosthesis Survival.

BACKGROUND AND OBJECTIVES: Endoprosthetic reconstruction is the preferred approach for limb salvage ...

Advanced design and classification of wearable near-infrared spectroscopy device using temporal channel reconfiguration multi-graph convolutional neural networks for motor activity.

In this paper, advanced design and classification of wearable near-infrared spectroscopy device usin...