Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Advances in Artificial Intelligence to Diagnose Otitis Media: State of the Art Review.

OBJECTIVE: Otitis media (OM) is a model disease for developing, validating, and implementing artific...

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X...

The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review.

OBJECTIVE: To provide a comprehensive overview on the applications of artificial intelligence (AI) i...

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

The meaningful use of electronic health records (EHR) continues to progress in the digital era with ...

State-of-the-art Applications of Patient-Reported Outcome Measures in Spinal Care.

Patient-reported outcome measures (PROMs) assign objective measures to patient's subjective experien...

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning.

Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide...

Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models.

PURPOSE: To provide a holistic and complete comparison of the five most advanced AI models in the au...

Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle.

Effective livestock management is critical for cattle farms in today's competitive era of smart mode...

Prediction and Construction of Energetic Materials Based on Machine Learning Methods.

Energetic materials (EMs) are the core materials of weapons and equipment. Achieving precise molecul...

A systematic review of state-of-the-art strategies for machine learning-based protein function prediction.

New drug discovery is inseparable from the discovery of drug targets, and the vast majority of the k...

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis.

BACKGROUND AND AIMS: A microscopic image has been used in cell analysis for cell type identification...

The design of compounds with desirable properties - The anti-HIV case study.

Efficacy and safety are among the most desirable characteristics of an ideal drug. The tremendous in...

A systematic review on the state-of-the-art strategies for protein representation.

The study of drug-target protein interaction is a key step in drug research. In recent years, machin...

Planetary Mapping Using Deep Learning: A Method to Evaluate Feature Identification Confidence Applied to Habitats in Mars-Analog Terrain.

The goals of Mars exploration are evolving beyond describing environmental habitability at global an...

Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks.

The development of ultra-dense heterogeneous networks (HetNets) will cause a significant rise in ene...

Iterative Reconstruction: State-of-the-Art and Future Perspectives.

Image reconstruction processing in computed tomography (CT) has evolved tremendously since its creat...

GradFreeBits: Gradient-Free Bit Allocation for Mixed-Precision Neural Networks.

Quantized neural networks (QNNs) are among the main approaches for deploying deep neural networks on...

Detecting Hydronephrosis Through Ultrasound Images Using State-of-the-Art Deep Learning Models.

The goal of this study was to assess the feasibility of three models for detecting hydronephrosis th...

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