Artificial Intelligence Medical Compendium

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

Showing 2,091 to 2,100 of 200,859 articles

Deconvolution improves cryo-EM maps

bioRxiv
With technological advancements in recent years, single particle cryogenic electron microscopy (cryo-EM) has become a major methodology for structural biology. Structure determination by single particle cryo-EM is premised on randomly orientated part... read more 

Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning

bioRxiv
Oncologists are increasingly relying on multiple modalities to model the complexity of diseases. Within this landscape, transcriptomic and epigenetic data have proven to be particularly instrumental and play an increasingly vital role in clinical app... read more 

Generating knotted polymer and protein structures by machine learning.

Communications chemistry
Knotted molecules occur naturally and can be designed to obtain unique biological and materials properties. While knotted molecular conformations can be produced using conventional molecular simulation methods, here we develop a diffusion-based machi... read more 

Predict neuromuscular performance in human epidural electrical stimulation: phase 1 trial interim results.

Communications medicine
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primary challenge in this therapy lies in identifying feasible stimulation parameters in huge selection sp... read more 

Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.

NPJ digital medicine
Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing both AI(Artificial Intelligence)- and rule-based systems, provide scalable mental health interventi... read more 

Development and External Validation of a Machine Learning-Based Risk Classification Score for Prostate Cancer-Specific Cardiovascular Risk.

JCO oncology practice
PURPOSE: Patients with prostate cancer (PC) face elevated cardiovascular (CV) risk. Conventional CV risk scores are often poorly calibrated for PC and require laboratory tests that are not routinely available in PC clinics, limiting oncology use. MET... read more 

Unifying pKa and Protonation Prediction with Sequence-Based Deep Learning.

Journal of chemical information and modeling
Predictions of pKa values provide insights into key aspects of molecular behavior, including solubility, lipophilicity, and binding affinity. Despite their importance, experimental microscopic pKa data remain scarce, creating a bottleneck in the trai... read more 

Guidance on artificial intelligence use for rapid evidence mapping of early childhood intervention outcome measures.

Developmental medicine and child neurology
AIM: To synthesize research evidence on the psychometric properties of outcome measures alongside practical implementation considerations relevant to children, families, practitioners, and services, and produce evidence-based practice resources to su... read more 

Creation of an mHealth Infrastructure to Support the Development and Delivery of mHealth Interventions: Protocol for Demonstration Projects Addressing Smoking Cessation in Cancer Care.

JMIR research protocols
BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifiable risk factors for cancer and support behavioral self-management. With smartphone ownership now ne... read more 

Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning.

JMIR biomedical engineering
BACKGROUND: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychosocial health conditions. Early detection of this stress is crucial for timely interventions to preven... read more