AI Medical Compendium

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition.

American journal of epidemiology Jun 3, 2026

Machine learning is increasingly used to estimate nuisance functions in causal inference. The efficient influence function (EIF) offers a principled way to construct estimators that can incorporate machine learning with valid inference (eg, estimate ... read more

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Brain : a journal of neurology Jun 3, 2026

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and pathological characteristics. Comparisons of clinical and biomarker features within the ALS and behav... read more

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain

bioRxiv Jun 3, 2026

Adaptive behavior requires flexibly shifting between exploiting familiar rewards and exploring novel opportunities. These explore-exploit decisions are implemented via a distributed brain network, anchored in frontopolar cortex (FPC) and ventromedial... read more

neuroscience

Exploring AI scribes in Norwegian general practice: a qualitative individual interview study.

Scandinavian journal of primary health care Jun 3, 2026

OBJECTIVE: To explore how Artificial intelligence (AI) scribes influence Norwegian general practitioners' (GPs) clinical practice, focusing on their impact on workflow, consultation routines, and professional responsibility, and to explore GPs reflec... read more

Body composition phenotyping of obesity in children aged 6-18 years: multi-strategy clustering and interpretable machine learning.

Annals of human biology Jun 3, 2026

BACKGROUND: Body composition heterogeneity in childhood obesity is not fully captured by BMI, motivating operational phenotyping using non-invasive measures. AIM: To identify body composition-based phenotypes of obesity in children aged 6-18 years us... read more

Two decades of human- and climate-induced groundwater storage shifts in Brazil.

Science advances Jun 3, 2026

Brazil holds the world's largest reserves of renewable fresh water, yet recurrent water crises expose its growing vulnerability under extreme events. As the nation's groundwater demand increases, these reserves still are poorly monitored. Here, we pr... read more

In situ mechanical characterization of functional and architected materials.

Nature materials Jun 3, 2026

Recent advances in instrumentation have sparked a transformative journey in materials science, providing insights into the intricate relationship between processing, structure and properties. Among them, cutting-edge in situ micro- and nanoscale mech... read more

Machine learning-optimized composting strategies can enhance nutrient recycling and transform food system waste into a net carbon sink.

Nature food Jun 3, 2026

Composting organic waste offers a circular solution to recycle nutrients and restore soil health, but nitrogen (N) and carbon (C) losses during the process undermine its agricultural and climate benefits. Here, using a machine learning approach, we a... read more

Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns.

Scientific reports Jun 3, 2026

Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we performed a data‑driven analysis of 916,824 AI-related life-science papers harvest... read more

Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure.