Public Health & Policy

Work Force

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

4,197 articles
Stay Ahead - Weekly Work Force research updates
Subscribe
Browse Categories
Showing 1639-1659 of 4,197 articles
Improving blood cells classification in peripheral blood smears using enhanced incremental training.

Peripheral Blood Smear (PBS) analysis is a vital routine test carried out by medical specialists to ...

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response.

Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to...

Efficacy of Smart Speaker-Based Metamemory Training in Older Adults: Case-Control Cohort Study.

BACKGROUND: Metamemory training (MMT) is a useful training strategy for improving cognitive function...

Training opportunities of artificial intelligence (AI) in radiology: a systematic review.

OBJECTIVES: The aim is to offer an overview of the existing training programs and critically examine...

Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience.

Testing and training animals in motor and related tasks is a cornerstone of pre-clinical behavioural...

User training for machine learning controlled upper limb prostheses: a serious game approach.

BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated...

Proposed training pathway with initial experience to set up robotic hepatobiliary and pancreatic service.

Although robot-assisted hepatobiliary and pancreatic (HPB) surgery has gained momentum over the last...

The current state of memory Specificity Training (MeST) for emotional disorders.

Memory Specificity Training (MeST) is an intervention developed from basic science that has found cl...

Deep diversification of an AAV capsid protein by machine learning.

Modern experimental technologies can assay large numbers of biological sequences, but engineered pro...

Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neur...

A pre-training and self-training approach for biomedical named entity recognition.

Named entity recognition (NER) is a key component of many scientific literature mining tasks, such a...

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiol...

Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial.

BACKGROUND: Regaining gait capacity is an important rehabilitation goal post stroke. Compared to cli...

Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma.

The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and trea...

Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology.

In this work, we investigate multi-task learning as a way of pre-training models for classification ...

Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.

COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and ...

Outcomes of a Multicenter Training Program in Robotic Pancreatoduodenectomy (LAELAPS-3).

OBJECTIVE: To assess feasibility and safety of a multicenter training program in robotic pancreatodu...

Effects of wearable ankle robotics for stair and over-ground training on sub-acute stroke: a randomized controlled trial.

BACKGROUND: Wearable ankle robotics could potentially facilitate intensive repetitive task-specific ...

Browse Categories