Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 32,031 to 32,040 of 220,797 articles

Diabetes Technology: An Update.

The Journal of clinical endocrinology and metabolism
Diabetes is one of the most prevalent chronic diseases worldwide, with rates that continue to increase. Over 30 years ago, the Diabetes Control and Complications Trial demonstrated that intensive glucose management decreased long term vascular compli... read more 

Deep learning framework for quantifying self-organization in Myxococcus xanthus.

Proceedings of the National Academy of Sciences of the United States of America
Under starvation, Myxococcus xanthus bacteria initiate a multicellular developmental program in which cells move to form fruiting bodies and differentiate into distinct cell types. Many genes affecting this process have been identified, and it is ass... read more 

Combining process-based models with machine learning ensemble improves soil nitrous oxide estimates.

Proceedings of the National Academy of Sciences of the United States of America
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Performance of Machine Learning Models for Sepsis and Stroke Detection Using EMS Data.

Prehospital emergency care
OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage, treatment, and patient outcomes. Machine learning (ML) may enhance EMS sepsis and stroke screening by connecting complex patterns in routinely collec... read more 

Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study.

JMIR AI
BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing diagnostic challenges due to isolation protocols. OBJECTIVE: This study aimed at evaluating Artificial Intelligence Massive Screening for Oropharyngeal... read more 

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.

JMIR aging
BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services and enhancing long-term sustainability. This study proposes an adaptive reinforcement learning (RL)-ba... read more 

Development of a machine learning-based survival prediction model for ALS inclusive of the advanced-stage population.

Amyotrophic lateral sclerosis & frontotemporal degeneration
OBJECTIVE: Develop a machine learning-based model for survival prediction in ALS, including advanced-stage patients (≤50% predicted normal vital capacity [VC50]). METHODS: Training data from the PRO-ACT Database (n = 6896) was supplemented with advan... read more 

Development and Validation of a Web Calculator for Predicting the Risk of Lower Limb Varicose Veins.

Vascular and endovascular surgery
The aims of the present study were to develop and validate a predictive model for lower limb Varicose Veins, and to visualize the results using a web calculator for assessing the probability of patients developing Lower Limb Varicose Veins. A conveni... read more 

Topical review: Incorporating generative artificial intelligence into neuropsychology training: best practices, pitfalls, and recommendations for effective implementation.

Journal of pediatric psychology
OBJECTIVE: Generative artificial intelligence (AI) is rapidly transforming the field of neuropsychology by offering innovative opportunities to enhance clinical assessment precision, improve diagnostic accuracy, and streamline administrative duties. ... read more 

Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes.

Brain : a journal of neurology
Progressive supranuclear palsy (PSP) is a heterogeneous neurodegenerative disease characterised by the accumulation of misfolded 4-repeat tau within neurones and glial cells. There are limited longitudinal data on pathologically confirmed PSP patient... read more