STDs

General Applicability of Existing College of American Pathologists Accreditation Requirements to Clinical Implementation of Machine Learning-Based Methods in Molecular Oncology Testing.

CONTEXT.—: The College of American Pathologists (CAP) accreditation requirements for clinical labora...

Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning.

Breast cancer affects millions globally, necessitating precise biomarker testing for effective treat...

AtSubP-2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning.

The organization of subcellular components in a cell is critical for its function and studying cellu...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Testing the equivalency of human "predators" and deep neural networks in the detection of cryptic moths.

Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the...

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.

IMPORTANCE: Large language models (LLMs) can assist in various health care activities, but current e...

Intelligent penetration testing method for power internet of things systems combining ontology knowledge and reinforcement learning.

With the application of new-generation information technologies such as big data, artificial intelli...

Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression.

Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) prog...

A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.

HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with ...

[Discussion about Testing Scheme of Intelligent Medical Devices].

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

Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions.

Artificial Intelligence (AI) holds significant potential for enhancing accessibility and user experi...

Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information.

Purpose To guide the attention of a deep learning (DL) model toward MRI characteristics of brain les...

Algorithm-agnostic significance testing in supervised learning with multimodal data.

MOTIVATION: Valid statistical inference is crucial for decision-making but difficult to obtain in su...

External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...

The testing of AI in medicine is a mess. Here's how it should be done.

Heart Rate Estimation from Neck Photoplethysmography using FFT-Based Scoring and a Shallow Neural Network.

Heart rate (HR) is one of the most important vital signs to monitor. Constantly monitoring HR makes ...

Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.

Suicide remains a pressing global health concern, necessitating innovative approaches for early dete...

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records.

Electronic Health Records (EHRs) are a cornerstone of modern healthcare analytics, offering rich dat...

DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders.

Traditional linear mediation analysis has inherent limitations when it comes to handling high-dimens...

Adapting an artificial intelligence sexually transmitted diseases symptom checker tool for Mpox detection: the HeHealth experience.

Artificial Intelligence (AI) applications have shown promise in the management of pandemics. In resp...

Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing.

Purpose To evaluate the robustness of an award-winning bone age deep learning (DL) model to extensiv...