AIMC Topic: Artificial Intelligence

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Identification of sudden cardiac death from human blood using ATR-FTIR spectroscopy and machine learning.

International journal of legal medicine
OBJECTIVE: The aim of this study is to identify a rapid, sensitive, and non-destructive auxiliary approach for postmortem diagnosis of SCD, addressing the challenges faced in forensic practice.

Attitudes towards artificial intelligence in emergency medicine.

Emergency medicine Australasia : EMA
OBJECTIVE: To assess Australian and New Zealand emergency clinicians' attitudes towards the use of artificial intelligence (AI) in emergency medicine.

Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.

Head & face medicine
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...

Large Language Models in Neurology Research and Future Practice.

Neurology
Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical rec...

Unveiling the potential of artificial intelligence in orthopaedic surgery.

British journal of hospital medicine (London, England : 2005)
Artificial intelligence is paving the way in contemporary medical advances, with the potential to revolutionise orthopaedic surgical care. By harnessing the power of complex algorithms, artificial intelligence yields outputs that have diverse applica...

Polysocial Risk Scores: Implications for Cardiovascular Disease Risk Assessment and Management.

Current atherosclerosis reports
PURPOSE OF REVIEW: To review current evidence, discuss key knowledge gaps and identify opportunities for development, validation and application of polysocial risk scores (pSRS) for cardiovascular disease (CVD) risk prediction and population cardiova...

Accuracy of a Large Language Model as a new tool for optometry education.

Clinical & experimental optometry
CLINICAL RELEVANCE: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency.