AI Medical Compendium

Evaluation of advanced AI models for accurate prediction and uncertainty analysis of aeration inception in hydrofoil-crested stepped spillways.

Scientific reports Apr 27, 2026

Artificial intelligence BPNN optimization control strategy in intelligent buildings.

Scientific reports Apr 27, 2026

Personalized training model for 10 m air pistol through machine learning: a pilot study.

Scientific reports Apr 27, 2026

This pilot study aimed to develop an interpretable machine-learning framework to classify high- versus low-ring-value performance in 10 m air pistol shooting and to identify key technical factors relevant to training feedback. A total of 3,179 valid ... read more

LQUnet: a vascular segmentation network based on multi-scale feature fusion and hierarchical self distillation.

Scientific reports Apr 27, 2026

Vessel segmentation has important clinical significance in medical image analysis, especially in the assessment of liver disease and preoperative planning for the accurate extraction of vascular structures puts forward higher requirements. To cope wi... read more

'The job description is changing': mathematician Terence Tao on the rise of AI.

Nature Apr 27, 2026

A hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment.

Scientific reports Apr 27, 2026

Cardiovascular Disease (CVD) risk assessment involves evaluating various clinical and lifestyle factors to estimate an individual's likelihood of developing heart-related conditions. Accurate risk prediction helps in early intervention and preventive... read more

Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis.

Scientific reports Apr 27, 2026

Integrating bulk and single-cell RNA sequencing identifies and validates lactylation-related signatures in diabetic foot ulcers.

Scientific reports Apr 27, 2026

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

Archives of gynecology and obstetrics Apr 27, 2026

OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making in obstetrics. METHODS: Five fictional obstetric patient cases, encompassing a range of clinical pres... read more

Energy-constrained workflow scheduling for DVFS-enabled heterogeneous systems in cloud computing environments.

Scientific reports Apr 27, 2026

Artificial Intelligence Medical Compendium

Evaluation of advanced AI models for accurate prediction and uncertainty analysis of aeration inception in hydrofoil-crested stepped spillways.

Artificial intelligence BPNN optimization control strategy in intelligent buildings.

Personalized training model for 10 m air pistol through machine learning: a pilot study.

LQUnet: a vascular segmentation network based on multi-scale feature fusion and hierarchical self distillation.

'The job description is changing': mathematician Terence Tao on the rise of AI.

A hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment.

Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis.

Integrating bulk and single-cell RNA sequencing identifies and validates lactylation-related signatures in diabetic foot ulcers.

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

Energy-constrained workflow scheduling for DVFS-enabled heterogeneous systems in cloud computing environments.

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Artificial Intelligence Medical Compendium

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