Current Applications and Future Impact of Machine Learning in Radiology von Choy, Garry, Khalilzadeh, Omid, Michalski, Mark, Do, Synho, Samir, Anthony E, Pianykh, Oleg S, Geis, J Raymond, Pandharipande, Pari V, Brink, James A, Dreyer, Keith J

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Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? von Daye, Dania, Wiggins, Walter F, Lungren, Matthew P, Alkasab, Tarik, Kottler, Nina, Allen, Bibb, Roth, Christopher J, Bizzo, Bernardo C, Durniak, Kimberly, Brink, James A, Larson, David B, Dreyer, Keith J, Langlotz, Curtis P

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FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies von Ebrahimian, Shadi, Kalra, Mannudeep K., Agarwal, Sheela, Bizzo, Bernardo C., Elkholy, Mona, Wald, Christoph, Allen, Bibb, Dreyer, Keith J.

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Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT von Kaviani, Parisa, Primak, Andrew, Bizzo, Bernardo, Ebrahimian, Shadi, Saini, Sanjay, Dreyer, Keith J., Kalra, Mannudeep K.

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Validation pipeline for machine learning algorithm assessment for multiple vendors von Bizzo, Bernardo C, Ebrahimian, Shadi, Walters, Mark E, Michalski, Mark H, Andriole, Katherine P, Dreyer, Keith J, Kalra, Mannudeep K, Alkasab, Tarik, Digumarthy, Subba R

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When Machines Think: Radiology's Next Frontier von Dreyer, Keith J, Geis, J Raymond

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Head CT deep learning model is highly accurate for early infarct estimation von Gauriau, Romane, Bizzo, Bernardo C., Comeau, Donnella S., Hillis, James M., Bridge, Christopher P., Chin, John K., Pawar, Jayashri, Pourvaziri, Ali, Sesic, Ivana, Sharaf, Elshaimaa, Cao, Jinjin, Noro, Flavia T. C., Wiggins, Walter F., Caton, M. Travis, Kitamura, Felipe, Dreyer, Keith J., Kalafut, John F., Andriole, Katherine P., Pomerantz, Stuart R., Gonzalez, Ramon G., Lev, Michael H.

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Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot von Rao, Arya, Kim, John, Kamineni, Meghana, Pang, Michael, Lie, Winston, Dreyer, Keith J, Succi, Marc D

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The lucent yet opaque challenge of regulating artificial intelligence in radiology von Hillis, James M., Visser, Jacob J., Cliff, Edward R. Scheffer, van der Geest – Aspers, Kelly, Bizzo, Bernardo C., Dreyer, Keith J., Adams-Prassl, Jeremias, Andriole, Katherine P.

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Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study von Kaviani, Parisa, Digumarthy, Subba R, Bizzo, Bernardo C, Reddy, Bhargava, Tadepalli, Manoj, Putha, Preetham, Jagirdar, Ammar, Ebrahimian, Shadi, Kalra, Mannudeep K, Dreyer, Keith J

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Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study von Garza-Frias, Emiliano, Kaviani, Parisa, Karout, Lina, Fahimi, Roshan, Hosseini, Seyedehelaheh, Putha, Preetham, Tadepalli, Manoj, Kiran, Sai, Arora, Charu, Robert, Dennis, Bizzo, Bernardo, Dreyer, Keith J, Kalra, Mannudeep K, Digumarthy, Subba R

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Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head von Hillis, James M., Bizzo, Bernardo C., Newbury‐Chaet, Isabella, Mercaldo, Sarah F., Chin, John K., Ghatak, Ankita, Halle, Madeleine A., L'Italien, Eric, MacDonald, Ashley L., Schultz, Alex S., Buch, Karen, Conklin, John, Pomerantz, Stuart, Rincon, Sandra, Dreyer, Keith J., Mehan, William A.

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Opportunistic Screening: Radiology Scientific Expert Panel von Pickhardt, Perry J, Summers, Ronald M, Garrett, John W, Krishnaraj, Arun, Agarwal, Sheela, Dreyer, Keith J, Nicola, Gregory N

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Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm von Dasegowda, Giridhar, Bizzo, Bernardo C, Kaviani, Parisa, Karout, Lina, Ebrahimian, Shadi, Digumarthy, Subba R, Neumark, Nir, Hillis, James M, Kalra, Mannudeep K, Dreyer, Keith J

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Meaningful Peer Review in Radiology A Review of Current Practices and Potential Future Directions von Moriarity, Andrew K., MD, Hawkins, C. Matthew, MD, Geis, J. Raymond, MD, Dreyer, Keith J., DO, PhD, Kamer, Aaron P., MD, Khandheria, Paras, MD, Morey, Jose, MD, Whitfill, James, MD, Wiggins, Richard H., MD, Itri, Jason N., MD, PhD

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Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution von Dasegowda, Giridhar, Kalra, Mannudeep K, Abi-Ghanem, Alain S, Arru, Chiara D, Bernardo, Monica, Saba, Luca, Segota, Doris, Tabrizi, Zhale, Viswamitra, Sanjaya, Kaviani, Parisa, Karout, Lina, Dreyer, Keith J

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Real-World Surveillance of FDA-Cleared Artificial Intelligence Models: Rationale and Logistics von Dreyer, Keith J., Allen, Bibb, Wald, Christoph

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Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT von Kaviani, Parisa, Bizzo, Bernardo C, Digumarthy, Subba R, Dasegowda, Giridhar, Karout, Lina, Hillis, James, Neumark, Nir, Kalra, Mannudeep K, Dreyer, Keith J

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Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings von Kaviani, Parisa, Kalra, Mannudeep K, Digumarthy, Subba R, Gupta, Reya V, Dasegowda, Giridhar, Jagirdar, Ammar, Gupta, Salil, Putha, Preetham, Mahajan, Vidur, Reddy, Bhargava, Venugopal, Vasanth K, Tadepalli, Manoj, Bizzo, Bernardo C, Dreyer, Keith J

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Machine Learning in Radiology: Applications Beyond Image Interpretation von Lakhani, Paras, Prater, Adam B., Hutson, R. Kent, Andriole, Kathy P., Dreyer, Keith J., Morey, Jose, Prevedello, Luciano M., Clark, Toshi J., Geis, J. Raymond, Itri, Jason N., Hawkins, C. Matthew

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