Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Multiresolution residual deep neural network for improving pelvic CBCT image quality.

PURPOSE: Cone-beam computed tomography (CBCT) is frequently used for accurate image-guided radiation...

Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.

OBJECTIVE: Digital microscopy is used to monitor particulates such as protein aggregates within biop...

Integrated deep learning framework for accelerated optical coherence tomography angiography.

Label-free optical coherence tomography angiography (OCTA) has become a premium imaging tool in clin...

Medicolite-Machine Learning-Based Patient Care Model.

This paper discusses the machine learning effect on healthcare and the development of an application...

Real-time image-based air quality estimation by deep learning neural networks.

Air quality profoundly impacts public health and environmental equity. Efficient and inexpensive air...

Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.

Continuity of care (COC) has been shown to possess numerous health benefits for chronic diseases. Sp...

Analysis and prediction of water quality using deep learning and auto deep learning techniques.

Natural water sources like ponds, lakes and rivers are facing a great threat because of activities l...

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.

The application of artificial intelligence and machine learning (ML) technologies in healthcare have...

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning.

OBJECTIVE: Noise and disturbances hinder effective interpretation of recorded ECG. To identify the c...

Understanding machine learning classifier decisions in automated radiotherapy quality assurance.

The complexity of generating radiotherapy treatments demands a rigorous quality assurance (QA) proce...

Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system.

BACKGROUND: Foot pressure distribution can be used as a quantitative parameter for evaluating anatom...

The gap-closing estimand: A causal approach to study interventions that close disparities across social categories.

Disparities across race, gender, and class are important targets of descriptive research. But rather...

Optimizing risk-based breast cancer screening policies with reinforcement learning.

Screening programs must balance the benefit of early detection with the cost of overscreening. Here,...

Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence su...

Deep Learning Based Homomorphic Secure Search-Able Encryption for Keyword Search in Blockchain Healthcare System: A Novel Approach to Cryptography.

Due to the value and importance of patient health records (PHR), security is the most critical featu...

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