Artificial Intelligence Medical Compendium

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

Showing 44,791 to 44,800 of 224,055 articles

CBRRES: a computer-based REBA and RULA evaluation system for musculoskeletal disorder estimation.

International journal of occupational safety and ergonomics : JOSE
Objectives. This work aimed to design and develop a computerized posture assessment system that utilizes Python and MediaPipe, to calculate rapid entire body assessment (REBA) and rapid upper limb assessment (RULA) scores. The developed system aims t... read more 

Association between deep learning-based atrial fibrillation burden and in-hospital mortality.

PLOS digital health
Despite its clinical significance, research on atrial fibrillation (AF) burden as a dynamic, real-time predictor of adverse outcomes in patients with critical illness is lacking. This study examined the association between high AF burden and in-hospi... read more 

Bias in the AlphaFold3 prediction of ligand-induced domain motion in enzymes.

Proceedings of the National Academy of Sciences of the United States of America
In many enzymes, movement of domains from open to closed state forms the environment required for catalysis. We have studied ligand-induced domain motion in 82 enzymes by generating ensembles of AlphaFold 3 (AF3) models both with and without the pres... read more 

Coupled machine learning-ecosystem ensemble models substantially improve predictions of nitrous oxide (N2O) fluxes from US croplands.

Proceedings of the National Academy of Sciences of the United States of America
Nitrous oxide (N2O) is a potent and persistent greenhouse gas, with rising atmospheric concentrations driven in part by inefficient use of synthetic nitrogen (N) fertilizers in agriculture. Predicting soil N2O emissions is challenging due to high spa... read more 

Contribution of social determinants to symptoms of generalized anxiety disorder.

PLOS mental health
Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise, unemployment and social isolation. Machine learning techniques offer a powerful method for analyzin... read more 

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

PLOS digital health
Major depressive disorder (MDD) remains clinically diagnosed based on subjective symptoms rather than objective neurobiological markers, which limits diagnostic accuracy and the ability to tailor treatment. We present an ensemble hybrid framework tha... read more 

Social and environmental determinants of Neglected infectious diseases in quilombola communities of the Brazilian Amazon: An epidemiological and machine learning analysis.

PLoS neglected tropical diseases
Neglected infectious diseases (NIDs) remain a major public health challenge in the Amazon, particularly among quilombola populations living in rural and riverside territories marked by historical inequalities and structural limitations. This study ex... read more 

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

eLife
Cells must adopt flexible regulatory strategies to make decisions regarding their fate, including differentiation, apoptosis, or survival in the face of various external stimuli. One key cellular strategy that enables these functions is stochastic ge... read more 

Digital support systems to improve child development in Peru: A cluster-randomized controlled open-label trial.

Science advances
Digital technologies have the potential to transform early childhood development (ECD) interventions by delivering personalized support at scale. We conducted a cluster-randomized controlled trial in rural Peru to evaluate the effectiveness and cost-... read more 

Touching with torque enables human-level robotic dexterity.

Science advances
Achieving human-like forceful manipulation remains a major challenge in robotics because of the lack of critical environmental interaction cues such as collisions, balance, and resistance. We present a torque-angle-pressure (TAP) tactile sensor lever... read more