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Articles by Jan Witowski
Multi-modal AI for comprehensive breast cancer prognostication
Abstract Treatment selection in breast cancer is guided by risk assessment using molecular subtypes and clinicopathological characteristics. However, current approaches lack the precision required for optimal clinical decision-making. To address this, we use data from 8161 patients to develop and evaluate an AI test integrating digital pathology with clinical data. The AI test provides a robust method for predicting disease-free interval (C-index: 0.71 [0.68-0.75], HR: 3.63 [3.02-4.37, p < 0.001]).
Jan Witowski | Authors | CancerNetwork
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Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians - Nature Medicine
Abstract Predictive artificial intelligence (AI) systems based on deep learning have been shown to achieve expert-level identification of diseases in multiple medical imaging settings, but can make errors in cases accurately diagnosed by clinicians and vice versa. We developed Complementarity-Driven Deferral to Clinical Workflow (CoDoC), a system that can learn to decide between the opinion of a predictive AI model and a clinical workflow.
Application of HoloLens‐based augmented reality and three‐dimensional printed anatomical tooth reference models in dental education
Abstract Tooth anatomy is fundamental knowledge used in everyday dental practice to reconstruct the occlusal surface during cavity fillings. The main objective of this project was to evaluate the suitability of two types of anatomical tooth reference models used to support reconstruction of the occlusal anatomy of the teeth: (1) a three-dimensional (3D)-printed model and (2) a model displayed in augmented reality (AR) using Microsoft HoloLens.
Constructing 2D maps of human spinal cord activity and isolating the functional midline with high-density microelectrode arrays
Information Published In Science Translational Medicine Volume 14 | Issue 664 September 2022 Copyright Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an article distributed under the terms of the Science Journals Default License. Submission history Received: 11 April 2022 Accepted: 12 August 2022 Permissions Request permissions for this article.
Facilitating early parent-infant emotional connection improves cortical networks in preterm infants
Information Published In Science Translational Medicine Volume 14 | Issue 664 September 2022 Copyright Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an article distributed under the terms of the Science Journals Default License. Submission history Received: 11 April 2022 Accepted: 4 September 2022 Permissions Request permissions for this article.
The pancreatic clock is a key determinant of pancreatic fibrosis progression and exocrine dysfunction
Information Published In Science Translational Medicine Volume 14 | Issue 664 September 2022 Copyright Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an article distributed under the terms of the Science Journals Default License. Submission history Received: 23 November 2021 Accepted: 9 September 2022 Permissions Request permissions for this article.
CAR T cells targeting Aspergillus fumigatus are effective at treating invasive pulmonary aspergillosis in preclinical models
Information Published In Science Translational Medicine Volume 14 | Issue 664 September 2022 Copyright Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an article distributed under the terms of the Science Journals Default License. Submission history Received: 4 March 2021 Accepted: 23 August 2022 Permissions Request permissions for this article. Acknowledgments We thank T.
Improving breast cancer diagnostics with deep learning for MRI
Information Published In Science Translational Medicine Volume 14 | Issue 664 September 2022 Copyright Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is an article distributed under the terms of the Science Journals Default License. Submission history Received: 7 February 2022 Accepted: 19 August 2022 Permissions Request permissions for this article.
MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research
Abstract Current research on medical image processing relies heavily on the amount and quality of input data. Specifically, supervised machine learning methods require well-annotated datasets. A lack of annotation tools limits the potential to achieve high-volume processing and scaled systems with a proper reward mechanism. We developed MarkIt, a web-based tool, for collaborative annotation of medical imaging data with artificial intelligence and blockchain technologies.
Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound Exams
View ORCID ProfileYiqiu Shen, Farah E. Shamout, Jamie R. Oliver, Jan Witowski, Kawshik Kannan, Jungkyu Park, Nan Wu, Connor Huddleston, Stacey Wolfson, Alexandra Millet, Robin Ehrenpreis, Divya Awal, Cathy Tyma, Naziya Samreen, Yiming Gao, Chloe Chhor, Stacey Gandhi, Cindy Lee, Sheila Kumari-Subaiya, Cindy Leonard, Reyhan Mohammed, Christopher Moczulski, Jaime Altabet, James Babb, Alana Lewin, Beatriu Reig, Linda Moy, Laura Heacock, Krzysztof J.
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