Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine.

The integration of multiomics data with detailed phenotypic insights from electronic health records ...

Accounting for minimum data required to train a machine learning model to accurately monitor Australian dairy pastures using remote sensing.

Precision in grazing management is highly dependent on accurate pasture monitoring. Typically, this ...

Advances in artificial intelligence for meibomian gland evaluation: A comprehensive review.

Meibomian gland dysfunction (MGD) is increasingly recognized as a critical contributor to evaporativ...

Protocol-based control for semi-Markov reaction-diffusion neural networks.

This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural netw...

EfficientQ: An efficient and accurate post-training neural network quantization method for medical image segmentation.

Model quantization is a promising technique that can simultaneously compress and accelerate a deep n...

A decision support system for the detection of cutaneous fungal infections using artificial intelligence.

Cutaneous fungal infections are one of the most common skin conditions, hence, the burden of determi...

The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning.

The aim of this study was to test the morphometric features affecting 20-m sprint performance in chi...

Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia.

Multiple studies within the medical field have highlighted the remarkable effectiveness of using con...

Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludge.

Activated sludge (AS) microbial communities are influenced by various environmental variables. Howev...

Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN.

This research study demonstrates an efficient scheme for early detection of cardiorespiratory compli...

[Relationship between certain uses of artificial intelligence and psychosocial risk factors in European work environments].

INTRODUCTION: To examine the relationship between the use of Artificial Intelligence (AI) to assess ...

Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices.

One of the most vital parameters to achieve sustainability in any field is encompassing the Occupati...

Prediction of retention data of phenolic compounds by quantitative structure retention relationship models under reverse-phase liquid chromatography.

Quantitative Structure-Retention Relationship models were developed to identify phenolic compounds u...

Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students.

BACKGROUND: To evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system in ...

From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation.

Natural Image Captioning (NIC) is an interdisciplinary research area that lies within the intersecti...

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