AIMC Topic: Artificial Intelligence

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Artificial intelligence in patient care: evaluating artificial intelligence's accuracy and accessibility in addressing blepharoplasty concerns.

International ophthalmology
PURPOSE: Artificial Intelligence (AI) is rapidly advancing and profoundly influencing healthcare, offering the potential to revolutionize access to medical information. As medical misinformation proliferates and online searches for health-related adv...

Cyclic Peptide Therapeutic Agents Discovery: Computational and Artificial Intelligence-Driven Strategies.

Journal of medicinal chemistry
Cyclic peptides have emerged as promising modulators of protein-protein interactions due to their unique pharmacological properties and ability to target extensive flat binding interfaces. However, traditional strategies for developing cyclic peptide...

Harnessing Medicinal Chemical Intuition from Collective Intelligence.

Journal of medicinal chemistry
Over the past decade, collective intelligence, i.e., the intelligence that emerges from collective efforts, has transformed complex problem-solving and decision-making. In drug discovery, decision-making often relies on medicinal chemistry intuition....

Aging With Artificial Intelligence: How Technology Enhances Older Adults' Health and Independence.

The journals of gerontology. Series A, Biological sciences and medical sciences
BACKGROUND: As the global population ages healthcare challenges are escalating. Frailty, a clinical syndrome characterized by decreased reserve and resilience to stressors, is critically linked to adverse health outcomes in older adults. However, art...

[Research progress of panoramic evaluation of medical artificial intelligence].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Artificial intelligence (AI) has advantages such as improving work performance, enhancing time efficiency, and reducing work costs, and has been widely applied in various industries, including healthcare. A comprehensive evaluation of medical AI is s...

Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis.

BMJ open
INTRODUCTION: Identifying difficult airways and avoiding unanticipated difficult airways through difficult airway assessment are crucial for patient safety prior to airway management. Therefore, accurately predicting difficult airways through airway ...

An epidemiological knowledge graph extracted from the World Health Organization's Disease Outbreak News.

Scientific data
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillance, is marking a pivotal moment in epidemiology and public health research. By harnessing the capabil...

Women's Preferences and Willingness to Pay for AI Chatbots in Women's Health: Discrete Choice Experiment Study.

Journal of medical Internet research
BACKGROUND: Over 96% of adult women face health issues, with 70% experiencing conditions like infections. Mobile health education is increasingly popular but faces challenges in personalization and readability. Artificial intelligence (AI) chatbots p...

SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction.

Journal of medical systems
Predicting epileptic seizures presents a substantial difficulty in healthcare, with considerable implications for enhancing patient outcomes and quality of life. This paper presents an explainable artificial intelligence (AI) that integrates a one-di...

Artificial intelligence and endoanal ultrasound: pioneering automated differentiation of benign anal and sphincter lesions.

Techniques in coloproctology
BACKGROUND: Anal injuries, such as lacerations and fissures, are challenging to diagnose because of their anatomical complexity. Endoanal ultrasound (EAUS) has proven to be a reliable tool for detailed visualization of anal structures but relies on e...