Public Health & Policy

Work Force

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

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Predicting Infrared Spectra with Message Passing Neural Networks.

Infrared (IR) spectroscopy remains an important tool for chemical characterization and identificatio...

Artificial neural network analysis of microbial diversity in the central and southern Adriatic Sea.

Bacteria are an active and diverse component of pelagic communities. The identification of main fact...

Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.

Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the...

Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.

Segmenting lesion regions of Coronavirus Disease 2019 (COVID-19) from computed tomography (CT) image...

A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems.

Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic search tech...

CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training.

BACKGROUND: The state-of-the-art deep learning based cancer type prediction can only predict cancer ...

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images.

Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcin...

Martial Arts Routine Training Method Based on Artificial Intelligence and Big Data of Lactate Measurement.

As a traditional Chinese sport, competitive martial arts routines have a long history. The competiti...

Home-care robots - Attitudes and perceptions among older people, carers and care professionals in Ireland: A questionnaire study.

Many countries face major challenges to ensure that their health and social care systems are ready f...

Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach.

Maintaining a high quality of conversation between doctors and patients is essential in telehealth s...

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Data science continues to be recognized and used within healthcare due to the increased availability...

Surgical training fit for the future: the need for a change.

Postgraduate training in surgical specialties is one of the longest training programmes in the medic...

Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization.

Accurate and fast diagnosis of COVID-19 is very important to manage the medical conditions of affec...

From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning.

The applicability of sensor-based human activity recognition in sports has been repeatedly shown for...

Independent real-world application of a clinical-grade automated prostate cancer detection system.

Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the pot...

Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering.

In their previous work, Srinivas et al. [ 2018, 10, 56] have shown that implicit fingerprints captu...

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