Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Optical force estimation for interactions between tool and soft tissues.

Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and sur...

Two phases based training method for designing codewords for a set of perceptrons with each perceptron having multi-pulse type activation function.

This paper proposes a two phases-based training method to design the codewords to map the cluster in...

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.

To improve the accuracy of shallow neural networks in processing complex signals and cable fault dia...

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.

The growing and aging of the world population have driven the shortage of medical resources in recen...

Robotic Simulators for Tissue Examination Training With Multimodal Sensory Feedback.

Tissue examination by hand remains an essential technique in clinical practice. The effective applic...

Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records.

As two important textual modalities in electronic health records (EHR), both structured data (clinic...

Effectiveness of Semi-Supervised Active Learning in Automated Wound Image Segmentation.

Appropriate wound management shortens the healing times and reduces the management costs, benefiting...

Multiple machine learning methods aided virtual screening of Na 1.5 inhibitors.

Na 1.5 sodium channels contribute to the generation of the rapid upstroke of the myocardial action p...

Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware.

Ever-growing demand for artificial intelligence has motivated research on unconventional computation...

Reinforcement learning using Deep networks and learning accurately localizes brain tumors on MRI with very small training sets.

BACKGROUND: Supervised deep learning in radiology suffers from notorious inherent limitations: 1) It...

Symptoms are known by their companies: towards association guided disease diagnosis assistant.

Over the last few years, dozens of healthcare surveys have shown a shortage of doctors and an alarmi...

Deep Learning for Breast MRI Style Transfer with Limited Training Data.

In this work we introduce a novel medical image style transfer method, StyleMapper, that can transfe...

MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.

BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spo...

tension: A Python package for FORCE learning.

First-Order, Reduced and Controlled Error (FORCE) learning and its variants are widely used to train...

Ensemble learning and personalized training for the improvement of unsupervised deep learning-based synthetic CT reconstruction.

BACKGROUND: The growing adoption of magnetic resonance imaging (MRI)-guided radiation therapy (RT) p...

Use of Robot-Assisted Gait Training in Pediatric Patients with Cerebral Palsy in an Inpatient Setting-A Randomized Controlled Trial.

Robot-assisted gait training (RAGT) provides a task-based support of walking using exoskeletons. Evi...

Accuracy and data efficiency in deep learning models of protein expression.

Synthetic biology often involves engineering microbial strains to express high-value proteins. Thank...

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