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Health Policy

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

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AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insur...

Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-...

[Integrating Artificial Intelligence Into Healthcare Research].

The rapid development of artificial intelligence (AI) technologies in recent decades has led to inno...

Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes.

IMPORTANCE: Screening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D...

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as...

Artificial intelligence and automation of systematic reviews in women's health.

PURPOSE OF REVIEW: Evidence-based women's healthcare is underpinned by systematic reviews and guidel...

Enhancing Quality of Patients Care and Improving Patient Experience in China with Assistance of Artificial Intelligence.

Improving health of Chinese people has become national strategy according to the . Patient experienc...

Artificial Intelligence in Healthcare.

Modern technology development created significant innovations in delivery of healthcare. Artificial ...

eHealth and Clinical Documentation Systems.

eHealth is the use of modern information and communication technology (ICT) for trans-institutional ...

Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.

PURPOSE OF REVIEW: Artificial intelligence has already provided multiple clinically relevant applica...

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large dataset...

Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a ...

Technological Advances of Magnetic Resonance Imaging in Today's Healthcare Environment.

Are we reacting adequately to a constantly changing clinical and scientific environment, regarding o...

Applying Artificial Intelligence to Mitigate Effects of Patient Motion or Other Complicating Factors on Image Quality.

Artificial intelligence, particularly deep learning, offers several possibilities to improve the qua...

3D Integrable W/SiN/n-Si/p-Si 1D1R Unipolar Resistive Random Access Memory Synapse for Suppressing Reverse Leakage in Spiking Neural Network.

In this paper, we pose reverse leakage current issue which occurs when resistive random access memor...

Estimating Reliability of Signal Quality of Physiological Data from Data Statistics Itself for Real-time Wearables.

Artificial intelligence (AI) algorithms including machine and deep learning relies on proper data fo...

QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks.

MOTIVATION: Protein model quality estimation, in many ways, informs protein structure prediction. De...

Artificial intelligence: opportunities and implications for the health workforce.

Healthcare involves cyclic data processing to derive meaningful, actionable decisions. Rapid increas...

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