Devices and Vaccines

AI-powered speech device as a tool for neuropsychological assessment of an older adult population: A preliminary study.

As the older adult population continues to expand, the demands on the healthcare system intensifies,...

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Quality control (QC) of structures segmentation in volumetric medical images is important for identi...

Multitask Deep Learning for Automated Detection of Endoleak at Digital Subtraction Angiography during Endovascular Aneurysm Repair.

Purpose To develop and evaluate a novel multitask deep learning framework for automated detection an...

Systemic coagulation-inflammation index in the prediction of ISR in patients undergoing drug-eluting stents implant: A retrospective study based on multiple machine learning methods.

BACKGROUND: The Systemic Coagulation-Inflammation index (SCI) is an innovative hematological metric ...

Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset.

OBJECTIVE: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimul...

[Analysis of the global registration status of clinical trials for artificial intelligence medical device].

The rapid development of artificial intelligence technology is driving profound changes in medical p...

[The analysis of invention patents in the field of artificial intelligent medical devices].

The emergence of new-generation artificial intelligence technology has brought numerous innovations ...

[Analysis of the global competitive landscape in artificial intelligence medical device research].

The objective of this study is to map the global scientific competitive landscape in the field of ar...

Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing.

In the information age, novel hardware solutions are urgently needed to efficiently store and proces...

Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care.

Beyond the Posts: Analyzing Breast Implant Illness Discourse With Natural Language Processing and Deep Learning.

BACKGROUND: Breast implant illness (BII) is a spectrum of symptoms some people attribute to breast i...

A bibliometric analysis of wearable device research in sleep science: Trends and hotspots.

OBJECTIVE: This study aims to examine academic discourse on wearable devices for sleep, evaluating t...

DWI-based deep learning radiomics nomogram for predicting the impaired quality of life in patients with unruptured intracranial aneurysm developing new iatrogenic cerebral infarcts following stent placement: a multicenter cohort study.

This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of li...

Wearable device for axillary lymph node screening in breast cancer based on infrared thermography and artificial intelligence.

BACKGROUND: Breast cancer (BC) is the most prevalent cancer among women worldwide, and patients with...

CNNs improve decoding of selective attention to speech in cochlear implant users.

. Understanding speech in the presence of background noise such as other speech streams is a difficu...

Computationally designed proteins mimic antibody immune evasion in viral evolution.

Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective again...

Femtosecond Laser Treatment of Ti Surfaces: Antibacterial Mechanisms and Deep Learning-Based Surface Recognition.

Bacterial infections have been demonstrated to cause the premature failure of implants. A reliable s...

Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.

Central nervous system (CNS) drugs have the highest clinical attrition, often due to CNS-related tox...

Artificial Intelligence Aided Analysis of Anterior Segment Optical Coherence Tomography Imaging to Monitor the Device-Cornea Joint After Synthetic Cornea Implantation.

PURPOSE: The purpose of this study was to assess the utility of artificial intelligence (AI) assiste...

Low-cost prototype for bearing failure detection using Tiny ML through vibration analysis.

The document presents a low-cost, open-source device designed to facilitate the learning of technolo...

FastColitisDetector-XAI: An efficient AI model utilizing sparse Autoencoder with explainable AI for ulcerative colitis diagnosis.

We suggest AI framework for UC diagnosis using Sparse Autoencoders (SA) for feature extraction combi...