Artificial Intelligence Medical Compendium

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

Showing 29,201 to 29,210 of 219,647 articles

Distinct signatures in the human gut and oral microbiomes of gastric cancer.

Cell reports. Medicine
Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analyzed gut and oral shotgun metagenomic data from 317 individuals across two independent cohorts, with validation in a Harbin cohort. We identify 20 oral... read more 

Dentate gyrus interneurons modulate winner-take-all network dynamics in freely behaving mice.

Neuron
The hippocampal dentate gyrus (DG) segregates input patterns aided by inhibitory circuits. Despite their importance, few studies have recorded identified DG interneurons in behaving animals. Here, we used electrophysiological recordings, bidirectiona... read more 

A protein surface-aware multimodal framework for residue-level metal-binding site recognition.

Cell reports methods
Accurate identification of metal-binding sites is essential for elucidating metalloprotein functions in cellular processes. Here, we introduce MetalBind, a protein surface-aware, multimodal deep learning framework tailored for residue-level recogniti... read more 

Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Thoracic radiotherapy for lung cancer patients followed by radiation pneumonitis (RP) has significant clinical side effects. Risk-adaptive treatment planning can be supported by accurate early RP prediction. Using thoracic CT scans, this study sugges... read more 

Development of Novel and Interpretable Automated Models for Predicting Total Knee Replacement in Knee Osteoarthritis: An International Multicenter Study.

Academic radiology
RATIONALE AND OBJECTIVES: Subtle changes in the infrapatellar fat pad (IPFP) enable prediction and quantification of knee osteoarthritis (KOA). This study aimed to develop a bimodal model for predicting the risk of KOA progression to total knee repla... read more 

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