Devices and Vaccines

Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs.

: Implant brand identification is critical in modern dental clinical diagnostics. With the increasin...

Faculty Insights on Artificial Intelligence Chatbot Integration in Dental Implant Clinical Education.

Comparative Study of Generative Models for Early Detection of Failures in Medical Devices

The medical device industry has significantly advanced by integrating sophisticated electronics li...

MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.

MOTIVATION: Predicting the binding affinity between antigens and antibodies accurately is crucial fo...

TActiLE: Tiny Active LEarning for wearable devices

Tiny Machine Learning (TinyML) algorithms have seen extensive use in recent years, enabling wearab...

Toward Automated Regulatory Decision-Making: Trustworthy Medical Device Risk Classification with Multimodal Transformers and Self-Training

Accurate classification of medical device risk levels is essential for regulatory oversight and cl...

Scaling On-Device GPU Inference for Large Generative Models

Driven by the advancements in generative AI, large machine learning models have revolutionized dom...

ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides.

The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune res...

Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vaul...

Deep learning-based segmentation of the mandibular canals in cone-beam CT reaches human-level performance.

OBJECTIVES: This study evaluated the accuracy and reliability of deep learning-based segmentation te...

Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...

Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models

Recent studies have revealed that text-to-image diffusion models are vulnerable to backdoor attack...

AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury

Diagnostic reasoning entails a physician's local (mental) model based on an assumed or known share...

Memento: Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation

Working memory involves the temporary retention of information over short periods. It is a critica...

Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention

Cochlear implants (CIs) play a vital role in restoring hearing for individuals with severe to prof...

HEMA : A Hippocampus-Inspired Extended Memory Architecture for Long-Context AI Conversations

Large language models (LLMs) struggle with maintaining coherence in extended conversations spannin...

Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery

Intraoperative adverse events (IAEs), such as bleeding or thermal injury, can lead to severe posto...

3D-1D modelling of cranial plate heating induced by low or medium frequency magnetic fields

Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...

Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations

Understanding the binding specificity between T-cell receptors (TCRs) and peptide-major histocompa...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...