Infectious Disease

STDs

Latest AI and machine learning research in stds for healthcare professionals.

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DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.

Transcriptome-wide association studies (TWAS) have been increasingly applied to identify (putative) ...

JAKCalc: A machine-learning approach to rationalized JAK2 testing in patients with elevated hemoglobin levels.

The demand for Janus Kinase-2 (JAK2) testing has been disproportionate to the low yield of positive ...

Development of Biomechanical Response Curves for the Calibration of Biofidelic Measuring Devices Used in Robot Collision Testing.

Collaborative robots (cobots) can be employed in close proximity to human workers without safety fen...

Development of deep-learning models for real-time anaerobic threshold and peak VO2 prediction during cardiopulmonary exercise testing.

AIMS: Exercise intolerance is a clinical feature of patients with heart failure (HF). Cardiopulmonar...

Artificial Intelligence Approach for Severe Dengue Early Warning System.

Dengue fever is a viral infectious disease transmitted through mosquito bites, and has symptoms rang...

Using machine learning to develop smart reflex testing protocols.

OBJECTIVE: Reflex testing protocols allow clinical laboratories to perform second line diagnostic te...

Artificial intelligence-based image analysis in clinical testing: lessons from cervical cancer screening.

Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition algorit...

A Comparison of LLMs for Use in Generating Synthetic Test Data for Automated Testing of a Patient-Focused, Survey-Based System.

In the context of a patient-focused, survey-based system, we demonstrated the potential of generativ...

ChatGPT in medical school: how successful is AI in progress testing?

BACKGROUND: As generative artificial intelligence (AI), ChatGPT provides easy access to a wide range...

Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning.

PURPOSE: To assess the performance of a perimetric strategy using structure-function predictions fro...

Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology.

Thyroid cancer is the most common malignant endocrine tumor. The key test to assess preoperative ris...

Visualization design of health detection products based on human-computer interaction experience in intelligent decision support systems.

In order to meet the needs of the human-computer interaction experience of health testing products a...

Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach.

Sleep apnea in children is a major health problem affecting one to five percent of children (in the ...

Symbiosis of an artificial neural network and models of biological neurons: Training and testing.

In this paper, we show the possibility of creating and identifying the features of an artificial neu...

Quantum Similarity Testing with Convolutional Neural Networks.

The task of testing whether two uncharacterized quantum devices behave in the same way is crucial fo...

FACTORS AFFECTING PROGNOSIS AND MORTALITY IN SEVERE COVID-19 PNEUMONIA PATIENTS.

Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. T...

[Overview of the Development of Spatial Positioning Accuracy Testing Technology for Surgical Robots].

Characteristics of two major categories of RA equipment which defined in the standard are interprete...

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