7.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
8 papers · 1 filter
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…
Launching Insights: A Pilot Study on Leveraging Real-World Observational Data from the Mayo Clinic Platform to Advance Clinical Research
Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy +15
Backgrounds: Artificial intelligence (AI) is transforming healthcare, yet translating AI models from theoretical frameworks to real-world clinical applications remains challenging.…
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
Theodorus Dapamede, Aisha Urooj, Vedant Joshi +15
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk…
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
Yann Hicke, Jadon Geathers, Kellen Vu +8
Medical education faces challenges in providing scalable, consistent clinical skills training. Simulation with standardized patients (SPs) develops communication and diagnostic ski…
Evaluation of the uncertainty in calculating nanodosimetric quantities due to the use of different interaction cross sections in Monte Carlo track structure codes
Carmen Villagrasa, Giorgio Baiocco, Zine-El-Abidine Chaoui +11
This study evaluates the uncertainty in nanodosimetric calculations caused by variations in interaction cross sections within Monte Carlo Track Structure (MCTS) simulation codes. N…