AIMC Topic: Artificial Intelligence

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[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematical algorithm to evaluate drug interactions and targeted to minimize side effects and to optimize chr...

Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions.

The Gerontologist
BACKGROUND AND OBJECTIVES: As the global population continues to age, aging in place (AIP) has emerged as an essential strategy to help older adults live safely and independently within their communities. Although artificial intelligence (AI) holds p...

A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The Gerontologist
The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms of digital technology design. Guidelines and standards in both spaces (e.g., web content accessibility guidelines) have had suboptimal impact due to l...

Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.

Journal of controlled release : official journal of the Controlled Release Society
Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor response to pharmacological treatment, partially due to insufficient drug delivery across blood-brain barrier. In this study, we developed a novel ther...

Artificial Intelligence-Assisted Muscular Ultrasonography for Assessing Inflammation and Muscle Mass in Patients at Risk of Malnutrition.

Nutrients
BACKGROUND: Malnutrition, influenced by inflammation, is associated with muscle depletion and body composition changes. This study aimed to evaluate muscle mass and quality using Artificial Intelligence (AI)-enhanced ultrasonography in patients with ...

Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: Systematic Review.

JMIR cancer
BACKGROUND: Artificial intelligence (AI) is a revolutionary tool yet to be fully integrated into several health care sectors, including medical imaging. AI can transform how medical imaging is conducted and interpreted, especially in cardio-oncology.

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study.

Journal of medical Internet research
In this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration m...

Artificial Intelligence in Vascular Neurology: Applications, Challenges, and a Review of AI Tools for Stroke Imaging, Clinical Decision Making, and Outcome Prediction Models.

Current neurology and neuroscience reports
PURPOSE OF REVIEW: Artificial intelligence (AI) promises to compress stroke treatment timelines, yet its clinical return on investment remains uncertain. We interrogate state‑of‑the‑art AI platforms across imaging, workflow orchestration, and outcome...

[Artificial intelligence-based multimodal fusion diagnosis: advances in precision diagnosis of periodontitis].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
Periodontitis is a globally prevalent inflammatory oral disease, affecting approximately 50% of the population worldwide and imposing a substantial burden on patients' health and quality of life. Early and accurate diagnosis is critical for preventin...

Artificial intelligence in colorectal cancer liver metastases: From classification to precision medicine.

Bioscience trends
Colorectal cancer liver metastasis (CRLM) remains the leading cause of mortality among colorectal cancer (CRC) patients, with more than half eventually developing hepatic metastases. Achieving long-term survival in CRLM necessitates early detection, ...