Public Health & Policy

Work Force

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

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Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation.

Spiking neural networks (SNNs) with the event-driven manner of transmitting spikes consume ultra-low...

Training deep neural density estimators to identify mechanistic models of neural dynamics.

Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying cause...

AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training.

Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actio...

Training Radiology Residents, Bloom Style.

Bloom's Taxonomy, an integral component of learning theory since its inception, describes cognitive ...

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.

OBJECTIVE: In machine learning, it is evident that the classification of the task performance increa...

Mimicry Embedding Facilitates Advanced Neural Network Training for Image-Based Pathogen Detection.

The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise...

Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach.

Tropical biomes are the most diverse plant communities on Earth, and quantifying this diversity at l...

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has crea...

User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke.

We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. I...

Stacking models for nearly optimal link prediction in complex networks.

Most real-world networks are incompletely observed. Algorithms that can accurately predict which lin...

Patient-Centered Appointment Scheduling: a Call for Autonomy, Continuity, and Creativity.

When making an appointment, patients are generally unaware of how much clinician time is available t...

Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution ...

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.

Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the major...

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning.

The early detection and accurate histopathological diagnosis of gastric cancer increase the chances ...

Clinical and Research Medical Applications of Artificial Intelligence.

Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries t...

End-to-End Training for Compound Expression Recognition.

For a long time, expressions have been something that human beings are proud of. That is an essentia...

Detachment of the remora suckerfish disc: kinematics and a bio-inspired robotic model.

Remora suckerfish can attach to a wide diversity of marine hosts, however, their detachment mechanis...

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagno...

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