AIMC Topic: Humans

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Layperson-Friendly AI Translation of Medical Documents to Improve Doctor-Patient Communication: Protocols for the AI-INFOCARE and AI-MEDTALK Randomized Controlled Trials.

JMIR research protocols
BACKGROUND: Many patients struggle to understand referral letters and discharge summaries; low health literacy is prevalent, and short consultations limit explanations. Large language models (LLMs) can translate clinical jargon into layperson languag...

[Suicide epidemiology in the province of Málaga (Spain) [2024]: a retrospective analysis using machine learning techniques].

Revista espanola de salud publica
OBJECTIVE: Suicide constitutes a Public Health challenge whose demographic and geographical heterogeneity demands targeted interventions. The paucity of subnational studies integrating advanced data analytics restricts the precise identification of r...

Evaluating community resilience through social media during China's first post-COVID-19 reopening: insights from machine learning.

Journal of global health
BACKGROUND: In the face of pandemics from infectious diseases, enhancing community resilience is increasingly important. It is, therefore, essential to evaluate community resilience and identify factors that can strengthen it. This study aimed to eva...

Utilising bioinformatics and molecular docking technology to explore the underlying mechanisms of intervertebral disc degeneration with potential therapeutic drugs and formulas.

Journal of global health
BACKGROUND: Intervertebral disc degeneration (IDD) is prevalent in orthopaedics, yet lacks effective treatments. This study seeks to discover potential therapeutic targets for IDD to inform clinical therapies and traditional medicine approaches.

AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions.

Clinical and experimental medicine
Cancer's staggering molecular heterogeneity demands innovative approaches beyond traditional single-omics methods. The integration of multi-omics data, spanning genomics, transcriptomics, proteomics, metabolomics and radiomics, can improve diagnostic...

Cortical surface electric field estimation for real-time TMS with graph neural networks.

Physics in medicine and biology
Transcranial magnetic stimulation is a non-invasive neurostimulation and neuromodulation technique that induces electric fields (-fields) in the brain via a coil placed over the scalp. Our objective is to develop a real-time estimation method for the...

Evaluating the impact of AI assistance on decision-making in emergency doctors interpreting chest X-rays: a multi-reader multi-case study.

Emergency medicine journal : EMJ
BACKGROUND: Artificial intelligence (AI) tools could assist emergency doctors interpreting chest X-rays to inform urgent care. However, the impact of AI assistance on clinical decision-making, a precursor to enhanced care and patient outcomes, remain...

Digital twins for trans people in healthcare: queer, phenomenological and bioethical considerations.

Journal of medical ethics
Healthcare is one of the domains in which artificial intelligence (AI) is already having a major impact. Of interest is the idea of the digital twin (DT), an AI-powered technology that generates a real-time representation of the patient's body, offer...

Speech-based respiratory diagnostics: A study on COVID-19 detection with machine learning.

PloS one
Respiratory sound analysis has emerged as a promising approach for detecting and diagnosing respiratory diseases, including COVID-19. This study investigates using OpenSMILE features for COVID-19 detection using vowel speech sounds /a/, /e/, and /o/ ...

Exploring the link between AI usage intention and digital competence among college PE teachers: A moderated mediation model based on SCT and UTAUT.

PloS one
As artificial intelligence (AI) technologies rapidly integrate into higher education, they impose increasing demands on the teaching approaches and digital competence of physical education teachers. However, the relationship between physical educatio...