AIMC Topic: Artificial Intelligence

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Using artificial intelligence tools to automate data extraction for living evidence syntheses.

PloS one
Living evidence synthesis (LES) involves repeatedly updating a systematic review or meta-analysis at regular intervals to incorporate new evidence into the summary results. It requires a considerable amount of human time investment in the article sea...

A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.

Muscle & nerve
INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous assessment of examination strengths and limitations. We set out to perform a quantitative assessment of...

Cracking the protein compartmentalization code with ProtGPS.

Trends in biochemical sciences
Cellular protein compartmentalization is essential for function, yet the mechanisms directing proteins to their correct destinations remain unclear. Recently, Kilgore, Chinn, Mikhael, and Mitnikov et al. introduced ProtGPS, an artificial intelligence...

Artificial intelligence-based personalised rituximab treatment protocol in membranous nephropathy (iRITUX): protocol for a multicentre randomised control trial.

BMJ open
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of nephrotic syndrome in non-diabetic Caucasian adults. Rituximab is now recommended as first-line therapy for membranous nephropathy. However, Kidney Dise...

The generative revolution: AI foundation models in geospatial health-applications, challenges and future research.

International journal of health geographics
In an era of rapid technological advancements, generative artificial intelligence and foundation models are reshaping industries and offering new advanced solutions in a wide range of scientific areas, particularly in public and environmental health....

Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice.

Journal of translational medicine
The global burden of cardiovascular diseases continues to rise, making their prevention, diagnosis and treatment increasingly critical. With advancements and breakthroughs in omics technologies such as high-throughput sequencing, multi-omics approach...

The generative revolution: a brief introduction.

International journal of health geographics
Generative AI is rapidly establishing itself as a key member of the GeoAI battery of methods, models and tools in use today in various health applications. This paper is the first in an Int J Health Geogr two-article series (2025) on the 'Generative ...

A validity and reliability study of the artificial intelligence attitude scale (AIAS-4) and its relationship with social media addiction and eating behaviors in Turkish adults.

BMC public health
BACKGROUND: In recent years, there has been a rapid increase in the use of the internet and social media. Billions of people worldwide use social media and spend an average of 2.2 h a day on these platforms. At the same time, artificial intelligence ...

Identification of dental related ChatGPT generated abstracts by senior and young academicians versus artificial intelligence detectors and a similarity detector.

Scientific reports
Several researchers have investigated the consequences of using ChatGPT in the education industry. Their findings raised doubts regarding the probable effects that ChatGPT may have on the academia. As such, the present study aimed to assess the abili...

Machine learning in point-of-care testing: innovations, challenges, and opportunities.

Nature communications
The landscape of diagnostic testing is undergoing a significant transformation, driven by the integration of artificial intelligence (AI) and machine learning (ML) into decentralized, rapid, and accessible sensor platforms for point-of-care testing (...