STDs

Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results.

This study aims to determine how randomly splitting a dataset into training and test sets affects th...

[Construction of a Standard Dataset for Liver Tumors for Testing the Performance and Safety of Artificial Intelligence-Based Clinical Decision Support Systems].

PURPOSE: To construct a standard dataset of contrast-enhanced CT images of liver tumors to test the ...

Design, alpha testing, and beta testing of a 3-D printed open-hardware portable cryopreservation device for aquatic species.

Efforts in development of germplasm repositories to preserve genetic resources of aquatic species ar...

A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot-methodology and usability testing.

BACKGROUND: Socially assistive robots (SARs) have been proposed as a tool to help individuals who ha...

A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data.

Most common diseases are influenced by multiple gene interactions and interactions with the environ...

Combination Therapy of Chloramphenicol and Daptomycin for the Treatment of Infective Endocarditis Secondary to Multidrug Resistant .

A 38-years-old female with an aortic valve replacement presented to an outside hospital (OSH) with f...

Benchmarking and Testing Machine Learning Approaches with BARRA:CuRDa, a for Cancer Research.

Deep learning for COVID-19 detection based on CT images.

COVID-19 has tremendously impacted patients and medical systems globally. Computed tomography images...

Fast and powerful conditional randomization testing via distillation.

We consider the problem of conditional independence testing: given a response and covariates , we t...

MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.

Quantitative susceptibility mapping (QSM) has demonstrated great potential in quantifying tissue sus...

Curated Data In - Trustworthy Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing.

New Approach Methodologies (NAMs) that employ artificial intelligence (AI) for predicting adverse ef...

A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit.

Flocks of birds may cause major damage to fruit crops in the ripening phase. This problem is address...

A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans.

The objective quantification of retinal atrophy associated with age-related macular degeneration (AM...

In Vitro Assessment for Dose Preparation and Simulated Administration of Azithromycin Suspensions via Enteral Feeding Tubes.

Administration of medication via enteral feeding tubes (EFT) is common in cases where patients are u...

Clinical risk prediction models and informative cluster size: Assessing the performance of a suicide risk prediction algorithm.

Clinical visit data are clustered within people, which complicates prediction modeling. Cluster size...

Testing the Use of Natural Language Processing Software and Content Analysis to Analyze Nursing Hand-off Text Data.

Natural language processing software programs are used primarily to mine both structured and unstruc...

Application of machine learning to large in vitro databases to identify drug-cancer cell interactions: azithromycin and KLK6 mutation status.

Recent advances in machine learning promise to yield novel insights by interrogation of large datase...

Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review.

This short article describes the method of digital cytopathology using Z-stack scanning with or with...

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.

The 2019 novel coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory...

Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.

OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, inc...

Predicting innovative firms using web mining and deep learning.

Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators ...