Artificial Intelligence Medical Compendium

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

Showing 29,491 to 29,500 of 219,931 articles

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bone Mineral Density (BMD). Although vertebral augmentation methods such as percutaneous vertebroplasty... read more 

Bias-reduced dental age estimation in children: Machine-learning evaluation and a novel constrained random forest adaptation of the Cameriere method.

Forensic science international
Dental age estimation plays a critical role in clinical and forensic applications. Because teeth are highly resistant to environmental degradation, dental-based methods remain valuable when skeletal structures deteriorate. Although integrating ML alg... read more 

Whole genome sequencing precision medicine strategy to shorten treatment for rifampicin-resistant tuberculosis (SMARTT): a pragmatic, randomised, single-blind phase 4 trial.

The Lancet. Respiratory medicine
BACKGROUND: All patients with rifampicin-resistant tuberculosis should receive a short course of effective treatment. We aimed to evaluate the effectiveness of whole genome sequencing (WGS)-guided treatment in shortening duration of treatment for rif... read more 

Machine learning models for predicting microvascular invasion in hepatocellular carcinoma with three-dimensional whole-lesion 18F-FDG PET radiomics.

Hellenic journal of nuclear medicine
OBJECTIVE: To estimate the performance of machine learning models based on preoperative three-dimensional whole-lesion radiomics features for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC). SUBJECTS AND METHODS: This retros... read more 

AraBLA: cross-layer enhanced AraBERT with BiLSTM and attention for Arabic fake news detection.

Scientific reports
The rapid growth of misinformation in Arabic digital media has created an urgent need for more accurate detection systems. Many existing approaches, whether based on traditional machine learning or transformer-based models, struggle with the linguist... read more 

In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.

Nano-micro letters
The rapid growth of artificial intelligence, ubiquitous sensing, and edge computing is exposing fundamental limitations of conventional von Neumann architectures, in which the physical separation of sensing, memory, and computation leads to excessive... read more 

Step Counts and Stepping Intensity Among U.S. Adults: National Health and Nutrition Examination Survey 2011-2014.

Medicine and science in sports and exercise
OBJECTIVES: To characterize stepping in a nationally representative sample of U.S. adults by age, sex, and race and ethnicity. METHODS: Step counts are a simple, scalable metric of physical activity associated with lower mortality and chronic disease... read more