AIMC Topic: Artificial Intelligence

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Technological advances in the search for a CURE for asthma.

The Medical journal of Australia
Asthma is a chronic respiratory disease that affects more than 250 million people. It is a heterogeneous disease with a variety of symptoms, severity, and underlying mechanisms. Long term remission has been achieved for small subgroups of people with...

Microalgae-based biodiesel: integrating AI, CRISPR and nanotechnology for sustainable biofuel development.

Emerging topics in life sciences
Microalgae are a promising feedstock for biodiesel due to their rapid growth, high lipid content and ability to use non-arable land and wastewater. This review synthesises recent advances in artificial intelligence (AI)-driven strain optimisation, en...

Stereotactic Radiation Therapy or Protons for Uveal Melanoma Patients? An Artificial Intelligence (AI)-Based Clinical Treatment Decision-Making Tool Predicting Doses To Radiation Therapy Constraints.

International journal of radiation oncology, biology, physics
PURPOSE: For ocular melanoma, selecting between stereotactic radiation therapy (SRT) and protons requires a lengthy plan comparison process. The purpose of this brief report is to describe an artificial intelligence (AI) decision-making tool to predi...

Discriminant study of cervical squamous cells based on computer image analysis.

Medicine
This study aimed to explore a discriminant method for cervical squamous epithelial cells based on computer image analysis to establish a foundation for artificial intelligence diagnosis of cervical cancer. A total of 1682 cells were captured from 53 ...

A bibliometric analysis of artificial intelligence in medical education (2015-2025).

Medicine
BACKGROUND: The rapid development of artificial intelligence (AI) technology is profoundly reshaping the medical education model. However, to date, there has been no bibliometric study specifically focusing on AI and medical education.

Orthopedic perioperative nursing under navigation nurse management: Machine learning-based risk prediction models for postoperative recovery quality and explainable artificial intelligence analysis.

Medicine
This study aimed to evaluate the effectiveness of navigation nurse management (NNM) in orthopedic perioperative care and develop machine learning (ML) models to predict postoperative recovery quality. We sought to identify key factors influencing rec...

Current and future applications of artificial intelligence in lung cancer and mesothelioma.

Thorax
BACKGROUND: Considerable challenges exist in managing lung cancer and mesothelioma, including diagnostic complexity, treatment stratification, early detection and imaging quantification. Variable incidence in mesothelioma also makes equitable provisi...

Exploring the impact of generative AI tools on healthcare delivery in Tanzania.

Journal of health organization and management
PURPOSE: This study explores the impact of generative AI tools on healthcare delivery in Tanzania. It examines its potential to enhance efficiency, accessibility and decision-making in health informatics while addressing infrastructure, ethics and eq...

Applications of artificial intelligence and nanotechnology in vaccine development.

International journal of pharmaceutics
Vaccines have long been crucial in safeguarding public health by preventing and controlling infectious diseases. However, traditional vaccine development methods face challenges in efficiency, cost, and response time to emerging pathogens. Recent pro...

Artificial intelligence and employee performance in Uganda's healthcare institutions: exploring the mediation effects of perceived ease of use and skills enhancement.

Journal of health organization and management
PURPOSE: The purpose of this study is to investigate the relationship between artificial intelligence (AI) and employee performance in Uganda's healthcare institutions, with a specific focus on exploring the mediating effects of perceived ease of use...