5 citations · 6 across the 7 of their papers we have counts for
7 papers
Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis
Adrit Rao, Malte Jensen, Andrea T. Fisher +28
Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radiologic images. This paradigm of opportunistic imaging adds value to medical imag…
Spezi Data Pipeline: Streamlining FHIR-based Interoperable Digital Health Data Workflows
Vasiliki Bikia, Paul Schmiedmayer, Aydin Zahedivash +6
The increasing adoption of digital health technologies has amplified the need for robust, interoperable solutions to manage complex healthcare data. We present the Spezi Data Pipel…
IMIL: Interactive Medical Image Learning Framework
Adrit Rao, Andrea Fisher, Ken Chang +4
Data augmentations are widely used in training medical image deep learning models to increase the diversity and size of sparse datasets. However, commonly used augmentation techniq…
LLM on FHIR -- Demystifying Health Records
Paul Schmiedmayer, Adrit Rao, Philipp Zagar +4
Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solutio…
Studying the Impact of Augmentations on Medical Confidence Calibration
Adrit Rao, Joon-Young Lee, Oliver Aalami
The clinical explainability of convolutional neural networks (CNN) heavily relies on the joint interpretation of a model's predicted diagnostic label and associated confidence. A h…
Studying the Effects of Self-Attention for Medical Image Analysis
Adrit Rao, Jongchan Park, Sanghyun Woo +2
When the trained physician interprets medical images, they understand the clinical importance of visual features. By applying cognitive attention, they apply greater focus onto cli…
Waveform Phasicity Prediction from Arterial Sounds through Spectrogram Analysis using Convolutional Neural Networks for Limb Perfusion Assessment
Adrit Rao, Kevin Battenfield, Oliver Aalami
Peripheral Arterial Disease (PAD) is a common form of arterial occlusive disease that is challenging to evaluate at the point-of-care. Hand-held dopplers are the most ubiquitous de…