Artificial Intelligence Medical Compendium

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

Showing 52,401 to 52,410 of 225,279 articles

Grow with the Flow: 4D Reconstruction of Growing Plants with Gaussian Flow Fields

arXiv
Modeling the time-varying 3D appearance of plants during their growth poses unique challenges: unlike many dynamic scenes, plants generate new geometry over time as they expand, branch, and differentiate. Recent motion modeling techniques are ill-sui... read more 

AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection

arXiv
Altitude sickness is a potentially life-threatening condition that impacts many individuals traveling to elevated altitudes. Timely detection is critical as symptoms can escalate rapidly. Early recognition enables simple interventions such as descent... read more 

Use of uterine activity to predict preterm birth by artificial intelligence assisted models: a narrative systematic review.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
OBJECTIVE: The benefit of interventions to improve neonatal outcomes of preterm birth (PTB) must be balanced with the associated fetal and maternal risks. Artificial intelligence (AI) could be used to assess uterine contractions and consequently help... read more 

RAMA: implementing Machine Learning to develop mortality risk prediction models for NICU patients with Acute Kidney Injury.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
BACKGROUND: Acute Kidney Injury (AKI) is common in neonates admitted to the Neonatal Intensive Care Unit (NICU). Neonatal AKI is associated with multiple comorbid conditions of greater clinical severity, which also increase the neonate's risk of mort... read more 

Mining lysine post-translational modification sites by integrating protein language model representations with structural context.

Proceedings of the National Academy of Sciences of the United States of America
Lysine (Lys/K) residues serve as major hubs for post-translational modifications (PTMs) owing to the chemical versatility of their ε-amino groups, giving rise to diverse regulatory functions. Accurate and efficient identification of modified lysine r... read more 

Disability risk prediction models in community-dwelling older adults: a systematic review.

BMC geriatrics
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged as a critical public health priority. An increasing number of studies have focused on developing predictive models for disability risk among community-... read more