Artificial Intelligence Medical Compendium

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

Showing 19,121 to 19,130 of 214,800 articles

Bispecific antibodies for cancer therapy: evolution of structural formats and co-targeting strategies from wet-lab to AI-driven in silico modeling.

Cancer letters May 13, 2026
Bispecific antibodies (BsAbs), designed to recognize two different antigens or two different epitopes on the same antigen, are generated in laboratories using various techniques, including chemical conjugation (introduced in the 1960s), cell fusion (... read more 

Diagnostic Performance Evaluation of Clinical and AI Risk Models in Patients Referred for Cardiac Amyloidosis Testing.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography May 13, 2026
BACKGROUND: To improve screening for cardiac amyloidosis (CA), several models using artificial intelligence (AI) and conventional statistics have been developed. However, few data are available to compare the relative utility of these tools. In this ... read more 

From waste to wealth: AI-driven enzyme innovation for straw transformation.

Bioresource technology May 13, 2026
Straw is a renewable resource; however, its utilization poses challenges related to efficiency and environmental impact. Traditional enzyme engineering approaches face constraints arising from the scale of the protein sequence space and the limited a... read more 

From prediction to design: Optimized design of waste wood composites via GAN-augmented interpretable machine learning.

Bioresource technology May 13, 2026
Machine learning (ML) models rapidly and accurately predict material properties at low computational cost. An ML approach combined with Generative Adversarial Networks (GAN) for data augmentation predicts the mechanical properties of waste wood-based... read more 

Efficiently quantifying thermodynamic and kinetic effects of biochar pyrolysis parameters on antibiotic adsorption from water using interpretable causal machine learning.

Bioresource technology May 13, 2026
Antibiotic pollution in aquatic environments threatens ecological and public health. Biochar is a promising biomass-derived adsorbent, yet its performance is profoundly influenced by pyrolysis parameters. This study aimed to develop an interpretable ... read more 

A proof-of-principle study of tractography-based machine learning for predicting transcranial magnetic stimulation motor responsiveness.

Journal of neuroscience methods May 13, 2026
BACKGROUND: Identifying the brain stimulation target is fundamental for transcranial magnetic stimulation (TMS). Currently, this process is time-consuming and heavily dependent on the operator's expertise. Here, we present a proof-of-principle study ... read more 

Multimodal artificial intelligence in retinopathy of prematurity: A comprehensive narrative review.

Survey of ophthalmology May 13, 2026
Retinopathy of prematurity (ROP) remains a leading cause of preventable childhood blindness globally, particularly in regions with limited screening resources. Traditional diagnosis relying on subjective interpretation of fundus images faces challeng... read more 

Underperformance of Machine Learning Algorithms Predicting Extended Lengths of Stay and Readmission in Underrepresented Patient Cohorts After Primary Total Hip Arthroplasty.

The Journal of arthroplasty May 13, 2026
BACKGROUND: The demand for total hip arthroplasty (THA) is increasing, yet disparities in access and outcomes persist across racial, ethnic, and socioeconomic groups. Machine learning (ML) models can aid in predicting THA complications such as prolon... read more 

Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 13, 2026
PURPOSE: Detection of radiation-induced temporal lobe injury (RTLI) at the earliest radiologically detectable stage is important for timely intervention in nasopharyngeal carcinoma but remains challenging due to subtle MRI findings. This study aimed ... read more 

Cellular Senescence as a Systems-Level Driver of Cardiovascular Ageing.

Ageing research reviews May 13, 2026
Cellular senescence is increasingly recognized as a fundamental driver of cardiovascular ageing; however, its molecular heterogeneity, cell-type specificity, and translational relevance remain incompletely understood. Accumulating evidence indicates ... read more 
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