Search Results - "Kahn, Charles E"

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers by Mongan, John, Moy, Linda, Kahn, Jr, Charles E

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From Images to Actions: Opportunities for Artificial Intelligence in Radiology by Kahn, Jr, Charles E

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A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI by Sounderajah, Viknesh, Ashrafian, Hutan, Rose, Sherri, Shah, Nigam H., Ghassemi, Marzyeh, Golub, Robert, Kahn, Charles E., Esteva, Andre, Karthikesalingam, Alan, Mateen, Bilal, Webster, Dale, Milea, Dan, Ting, Daniel, Treanor, Darren, Cushnan, Dominic, King, Dominic, McPherson, Duncan, Glocker, Ben, Greaves, Felix, Harling, Leanne, Ordish, Johan, Cohen, Jérémie F., Deeks, Jon, Leeflang, Mariska, Diamond, Matthew, McInnes, Matthew D. F., McCradden, Melissa, Abràmoff, Michael D., Normahani, Pasha, Markar, Sheraz R., Chang, Stephanie, Liu, Xiaoxuan, Mallett, Susan, Shetty, Shravya, Denniston, Alastair, Collins, Gary S., Moher, David, Whiting, Penny, Bossuyt, Patrick M., Darzi, Ara

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Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects by Warner, Elisa, Lee, Joonsang, Hsu, William, Syeda-Mahmood, Tanveer, Kahn Jr, Charles E., Gevaert, Olivier, Rao, Arvind

“…Machine learning (ML) applications in medical artificial intelligence (AI) systems have shifted from traditional and statistical methods to increasing…”
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Common Data Elements in Radiology by Rubin, Daniel L, Kahn, Jr, Charles E

“…Diagnostic radiologists generally produce unstructured information in the form of images and narrative text reports. Although designed for human consumption,…”
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How AI May Transform Musculoskeletal Imaging by Guermazi, Ali, Omoumi, Patrick, Tordjman, Mickael, Fritz, Jan, Kijowski, Richard, Regnard, Nor-Eddine, Carrino, John, Kahn, Jr, Charles E, Knoll, Florian, Rueckert, Daniel, Roemer, Frank W, Hayashi, Daichi

“…While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies…”
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Automated detection of causal relationships among diseases and imaging findings in textual radiology reports by Sebro, Ronnie A, Kahn, Charles E

“…Abstract Objective Textual radiology reports contain a wealth of information that may help understand associations among diseases and imaging observations…”
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Artificial intelligence and machine learning in cancer imaging by Koh, Dow-Mu, Papanikolaou, Nickolas, Bick, Ulrich, Illing, Rowland, Kahn, Charles E., Kalpathi-Cramer, Jayshree, Matos, Celso, Martí-Bonmatí, Luis, Miles, Anne, Mun, Seong Ki, Napel, Sandy, Rockall, Andrea, Sala, Evis, Strickland, Nicola, Prior, Fred

“…An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal…”
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To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines) by Omoumi, Patrick, Ducarouge, Alexis, Tournier, Antoine, Harvey, Hugh, Kahn, Charles E., Louvet-de Verchère, Fanny, Pinto Dos Santos, Daniel, Kober, Tobias, Richiardi, Jonas

“…Artificial intelligence (AI) has made impressive progress over the past few years, including many applications in medical imaging. Numerous commercial…”
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Patients' Use and Evaluation of an Online System to Annotate Radiology Reports with Lay Language Definitions by Cook, Tessa S., MD, PhD, Oh, Seong Cheol, MD, Kahn, Charles E., MD, MS

“…Rationale and Objectives The increasing availability of personal health portals has made it easier for patients to obtain their imaging results online…”
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Applications of natural language processing in radiology: A systematic review by Linna, Nathaniel, Kahn, Charles E.

“…•Natural language processing (NLP) in radiology is increasingly being studied.•NLP performance is improving leading to more clinical applications.•More direct…”
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Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM) by Park, Seong Ho, Suh, Chong Hyun, Lee, Jeong Hyun, Kahn, Charles E, Moy, Linda

“…KCI Citation Count: 0…”
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Coverage and Readability of Information Resources to Help Patients Understand Radiology Reports by Martin-Carreras, Teresa, Kahn, Charles E.

“…Radiology reports can be difficult for a layperson to understand. MedlinePlus, a patient-oriented reference from the National Library of Medicine, may offer…”
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Editor's Note: Revised Conflict of Interest Statement for RSNA Journals by Bluemke, David, Kahn, Jr, Charles E, Eberhart, Jennifer

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Impact of Artificial Intelligence-Assisted Indication Selection on Appropriateness Order Scoring for Imaging Clinical Decision Support by Shreve, Lauren A, Fried, Jessica G, Liu, Fang, Cao, Quy, Pakpoor, Jina, Kahn, Jr, Charles E, Zafar, Hanna M

“…The aim of this study was to assess appropriateness scoring and structured order entry after the implementation of an artificial intelligence (AI) tool for…”
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How users search and what they search for in the medical domain: Understanding laypeople and experts through query logs by Palotti, João, Hanbury, Allan, Müller, Henning, Kahn, Charles E.

“…The internet is an important source of medical knowledge for everyone, from laypeople to medical professionals. We investigate how these two extremes, in terms…”
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Mentoring Radiologists and Imaging Scientists in the Postpandemic Digital Era by Lee, Susanna I, Kahn, Jr, Charles E, Luker, Gary D, Rosen, Bruce R

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Reporting initiative of the Radiological Society of North America: progress and new directions by Morgan, Tara A, Helibrun, Marta E, Kahn, Jr, Charles E

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Data Resources: Milestones and Building Blocks by Kahn, Jr, Charles E

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Editor's Recognition Awards by Kahn, Jr, Charles E

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