AIMC Topic: Artificial Intelligence

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Leveraging transformers and explainable AI for Alzheimer's disease interpretability.

PloS one
Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is almost no cure for AD except ver...

Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

Frontiers in cellular and infection microbiology
Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critical for effective disease management and control. Recent advancements in the field of TB diagnostics have focused on the identification and utilization...

Artificial intelligence in vaccine research and development: an umbrella review.

Frontiers in immunology
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of artificial intelligence (AI) in modern vaccinology, accelerating timelines from years to months. Nevertheless, the specific roles and effectiveness of ...

Artificial intelligence and omics-based autoantibody profiling in dementia.

Frontiers in immunology
INTRODUCTION: Dementia is a neurodegenerative syndrome marked by the accumulation of disease-specific proteins and immune dysregulation, including autoimmune mechanisms involving autoantibodies. Current diagnostic methods are often invasive, time-con...

AISIM: evaluating impacts of user interface elements of an AI assisting tool.

PloS one
While Artificial Intelligence (AI) has demonstrated human-level capabilities in many prediction tasks, collaboration between humans and machines is crucial in mission-critical applications, especially in the healthcare sector. An important factor tha...

Adapting Clinical Ethics Consultations to Address Ethical Issues of Artificial Intelligence.

The Journal of clinical ethics
AbstractAs artificial intelligence (AI) becomes increasingly incorporated into the workflow of clinical practice, it will raise numerous ethical issues and lead to related clinical ethics consultations to address those issues. However, many of the et...

Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses.

PloS one
Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, but not preventative, treatment is available. Drug repurposing is an innovate drug discovery method that uncovers existing therapeutics to treat or prev...

Research on target detection based on improved YOLOv7 in complex traffic scenarios.

PloS one
Target detection is an essential direction in artificial intelligence development, and it is a crucial step in realizing environmental awareness for intelligent vehicles and advanced driver assistance systems. However, the current target detection al...

SMART (artificial intelligence enabled) DROP (diabetic retinopathy outcomes and pathways): Study protocol for diabetic retinopathy management.

PloS one
INTRODUCTION: Delayed diagnosis of diabetic retinopathy (DR) remains a significant challenge, often leading to preventable blindness and visual impairment. Given that physicians are frequently the first point of contact for people with diabetes, ther...

Inverse modeling, analysis and control of twin rotor aerodynamic systems with optimized artificial intelligent controllers.

PloS one
This paper suggests a novel optimal inverse Radial Basis Function (RBF) neural network model for the control of Twin Rotor Aerodynamic Systems (TRAS), such as Multi-Input-Multi-Output (MIMO) systems with high nonlinearity and coupling effects between...