Devices and Vaccines

Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac using machine learning.

Meningococcal meningitis poses a significant public health burden in the meningitis belt region of s...

Self-supervised learning framework for efficient classification of endoscopic images using pretext tasks.

Identifying anatomical landmarks in endoscopic video frames is essential for the early diagnosis of ...

A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.

INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm base...

[Artificial intelligence-powered robotic joint surgery:application,research progress,and prospects].

Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and kne...

A machine learning framework to adjust for learning effects in medical device safety evaluation.

OBJECTIVES: Traditional methods for medical device post-market surveillance often fail to accurately...

Vaccination hesitancy: agreement between WHO and ChatGPT-4.0 or Gemini Advanced.

BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chat...

Continuous glucose monitoring using machine learning models and IoT device data: A meta-analysis.

BACKGROUND: Machine learning offers diverse options for effectively managing blood glucose levels in...

TPepRet: a deep learning model for characterizing T-cell receptors-antigen binding patterns.

MOTIVATION: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing a...

CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans.

PURPOSE: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from ...

An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (P...

[Discussion about Testing Scheme of Intelligent Medical Devices].

Intelligent medical devices are flourishing with the deep integration of modern information and arti...

Deep learning-based design and experimental validation of a medicine-like human antibody library.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunizati...

Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.

This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Gene...

Artificial Intelligence Chatbots in Patient Communication: Current Possibilities.

ChatGPT, an artificial intelligence (AI) chatbot, can generate text prompts based on user input. Thi...

[Influencing factors of implant accuracy of oral implant robot].

In recent years, robots have been gradually applied in the field of oral implantation. Compared with...

[Research of decision-making artificial intelligence for oral implantation].

The oral implant surgery robot could achieved basic "surgical operation intelligence"; however, "dec...

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

OBJECTIVE: Unplanned readmissions following a hospitalization remain common despite significant effo...

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.

The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, an...

Challenges and Proposed Additional Considerations for Medical Device Approval of Large Language Models Beyond Conventional AI.

Smartphone Imaging and AI: A Commentary on Cardiac Device Classification.