7.2k citations
- Mayo Clinic in ArizonaUS31 papers
- WinnMedUS22 papers
- Mayo ClinicUS20 papers
- Massachusetts General HospitalUS9 papers
- Emory UniversityUS7 papers
- The University of Texas Health Science Center at HoustonUS7 papers
- Yale UniversityUS7 papers
- Harvard UniversityUS6 papers
- University of PennsylvaniaUS6 papers
- Arizona State UniversityUS5 papers
- Cornell UniversityUS4 papers
- Jacksonville CollegeUS4 papers
67 papers
Accuracy, Repeatability, and Reproducibility of a Radiographic Technique to Assess Spinal Cord Stimulation Lead Position: A Validation Study
Andrew Thoreson, Katrina Fernandez, Cesar Lopez +4
Spinal cord stimulation with implantable leads is a valuable therapy used to treat a variety of chronic pain conditions. However, lead migration is a common complication causing lo…
Conditioned Generative Modeling of Molecular Glues: A Realistic AI Approach for Synthesizable Drug-like Molecules
Naeyma N. Islam, Thomas R. Caulfield
Alzheimer's disease (AD) is marked by the pathological accumulation of amyloid beta-42 (Abeta-42), contributing to synaptic dysfunction and neurodegeneration. While extracellular a…
Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes
Matthew W. Kenaston, Umair Ayub, Mihir Parmar +14
Despite high performance on clinical benchmarks, large language models may reach correct conclusions through faulty reasoning, a failure mode with safety implications for oncology…
Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
Dong Hyun Jeon, Lijing Zhu, Haifang Li +6
Temporal Graph Neural Networks (TGNNs) have become indispensable for analyzing dynamic graphs in critical applications such as social networks, communication systems, and financial…
Dynamicasome: a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations
Naeyma N Islam, Mathew A Coban, Jessica M Fuller +6
Advances in genomic medicine accelerate the identi cation of mutations in disease-associated genes, but the pathogenicity of many mutations remains unknown, hindering their use in…
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
Mojtaba Safari, Shansong Wang, Zach Eidex +4
Objective:This study introduces a residual error-shifting mechanism that drastically reduces sampling steps while preserving critical anatomical details, thus accelerating MRI reco…