Search Results - "Lotter, William"

Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias by Lotter, William

“…A core motivation for the use of artificial intelligence (AI) in medicine is to reduce existing healthcare disparities. Yet, recent studies have demonstrated…”
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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach by Lotter, William, Diab, Abdul Rahman, Haslam, Bryan, Kim, Jiye G., Grisot, Giorgia, Wu, Eric, Wu, Kevin, Onieva, Jorge Onieva, Boyer, Yun, Boxerman, Jerrold L., Wang, Meiyun, Bandler, Mack, Vijayaraghavan, Gopal R., Gregory Sorensen, A.

“…Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref. 1 ). To achieve earlier cancer detection, health organizations worldwide…”
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A neural network trained for prediction mimics diverse features of biological neurons and perception by Lotter, William, Kreiman, Gabriel, Cox, David

“…Recent work has shown that convolutional neural networks (CNNs) trained on image recognition tasks can serve as valuable models for predicting neural responses…”
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Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models by Xu, Wenxin, Gu, Bowen, Lotter, William E, Kehl, Kenneth L

“…Eastern Cooperative Oncology Group (ECOG) performance status (PS) is a key clinical variable for cancer treatment and research, but it is usually only recorded…”
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The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation by McNamara, Stephanie L., Yi, Paul H., Lotter, William

“…As applications of AI in medicine continue to expand, there is an increasing focus on integration into clinical practice. An underappreciated aspect of this…”
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1241 Clusters of multi-organ toxicities are associated with improved survival among immune checkpoint inhibitor recipients: a population-level study by Chen, Wenxin, Wan, Guihong, Roster, Katie, Nguyen, Nga, Rajesh, Ahmad, Seo, Jayhyun, Rashdan, Hannah, Zubiri, Leyre, Reynolds, Kerry, Demehri, Shadmehr, Yu, Kun-Hsing, Lotter, William, Gusev, Alexander, Leboeuf, Nicole R, Kwatra, Shawn, Semenov, Yevgeniy R

“…BackgroundImmune-related adverse events (irAEs) induced by immune checkpoint inhibitor (ICI) therapy can involve multiple organ systems, of which cutaneous…”
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218 Prospective spatial immune cell profiling identifies features of the tumor-immune microenvironment associated with genomic alterations and patient survival in a 2,023 patient pan-cancer cohort by Alessi, Joao V, Lindsay, James, Lotter, William, Giobbie-Hurder, Anita, Sharma, Bijaya, Pfaff, Kathleen, Manos, Michael, Welsh, Emma L, Felt, Kristen D, Jones, Stephanie M, Turner, Madison, Adib, Elio, Weirather, Jason, Altreuter, Jennifer O, Dryg, Ian D, Federico, Alessandro Di, Ricciuti, Biagio, Wang, Xinan, Pecci, Federica, Gandhi, Malini M, Chan, Sabrina J, Holovatska, Marta, Hughes, Melissa E, Tess A, O’Meara, Lindeman, Neal I, Johnson, Bruce E, Konstantinopoulos, Panagiotis, Curtis, Jennifer, Santagata, Sandro, Sorger, Peter K, Hanna, Glenn J, Tolaney, Sara M, Cerami, Ethan, Sholl, Lynette M, Novak, Jonathan A, Awad, Mark M, Rodig, Scott J

“…BackgroundIn retrospective studies, differential expression of immunological biomarkers in tissue biopsies has shown cancer-type and therapy-specific…”
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Toward More Accurate Preoperative Diagnosis of Vein Wall Invasion in Renal Cell Carcinoma Using Computer Vision by Shah, Valisha, Lotter, William

“…This commentary remarks on a recently published article by Zhao et al, which presents a CT radiomics model for the diagnosis of vein wall invasion in patients…”
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Recurrent computations for visual pattern completion by Tang, Hanlin, Schrimpf, Martin, Lotter, William, Moerman, Charlotte, Paredes, Ana, Caro, Josue Ortega, Hardesty, Walter, Cox, David, Kreiman, Gabriel

“…Making inferences from partial information constitutes a critical aspect of cognition. During visual perception, pattern completion enables recognition of…”
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Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions by Lotter, William, Hassett, Michael J, Schultz, Nikolaus, Kehl, Kenneth L, Van Allen, Eliezer M, Cerami, Ethan

“…Artificial intelligence (AI) in oncology is advancing beyond algorithm development to integration into clinical practice. This review describes the current…”
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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection by Marinovich, M. Luke, Wylie, Elizabeth, Lotter, William, Lund, Helen, Waddell, Andrew, Madeley, Carolyn, Pereira, Gavin, Houssami, Nehmat

“…Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing challenges…”
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Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study by Wan, Guihong, Chen, Wenxin, Khattab, Sara, Roster, Katie, Nguyen, Nga, Yan, Boshen, Rajeh, Ahmad, Seo, Jayhyun, Rashdan, Hannah, Zubiri, Leyre, Hadfield, Matthew J, Demehri, Shadmehr, Yu, Kun-Hsing, Lotter, William, Gusev, Alexander, LeBoeuf, Nicole R, Reynolds, Kerry L, Kwatra, Shawn G, Semenov, Yevgeniy R

“…Understanding co-occurrence patterns and prognostic implications of immune-related adverse events is crucial for immunotherapy management. However, previous…”
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Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detectionResearch in context by M. Luke Marinovich, Elizabeth Wylie, William Lotter, Helen Lund, Andrew Waddell, Carolyn Madeley, Gavin Pereira, Nehmat Houssami

“…Background: Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing…”
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Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation by Hendrix, Nathaniel, Lowry, Kathryn P., Elmore, Joann G., Lotter, William, Sorensen, Gregory, Hsu, William, Liao, Geraldine J., Parsian, Sana, Kolb, Suzanne, Naeim, Arash, Lee, Christoph I.

“…Artificial intelligence (AI) may improve cancer detection and risk prediction during mammography screening, but radiologists’ preferences regarding its…”
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Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection by Marinovich, M Luke, Wylie, Elizabeth, Lotter, William, Pearce, Alison, Carter, Stacy M, Lund, Helen, Waddell, Andrew, Kim, Jiye G, Pereira, Gavin F, Lee, Christoph I, Zackrisson, Sophia, Brennan, Meagan, Houssami, Nehmat

“…IntroductionArtificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer…”
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Task dependent modulation before, during and after visually evoked responses in human intracranial recordings by Isik, Leyla, Lotter, William, Crone, Nathan, Cox, David, Kanwisher, Nancy, Andreson, Wiliam, Kreiman, Gabriel

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Abstract 6189: Deep-learning model trained on multiplex immunofluorescence-stained tissue samples predicts the survival of patients with non-small cell lung cancer better than PD-L1 TPS alone by Hoebel, Katharina Viktoria, Lindsay, James R., Alessi, Joao V., Weirather, Jason L., Dryg, Ian D., Altreuter, Jennifer, Awad, Mark M., Rodig, Scott J., Lotter, William E.

“…In non-small cell lung cancer (NSCLC), the composition and structure of the tumor immune microenvironment (TME) critically impact patient outcomes,…”
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Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists by Kim, Jiye G, Haslam, Bryan, Diab, Abdul Rahman, Sakhare, Ashwin, Grisot, Giorgia, Lee, Hyunkwang, Holt, Jacqueline, Lee, Christoph I, Lotter, William, Sorensen, A Gregory

“…Purpose To evaluate performance improvements of general radiologists and breast imaging specialists when interpreting a set of diverse digital breast…”
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External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence by Hsu, William, Hippe, Daniel S, Nakhaei, Noor, Wang, Pin-Chieh, Zhu, Bing, Siu, Nathan, Ahsen, Mehmet Eren, Lotter, William, Sorensen, A Gregory, Naeim, Arash, Buist, Diana S M, Schaffter, Thomas, Guinney, Justin, Elmore, Joann G, Lee, Christoph I

“…With a shortfall in fellowship-trained breast radiologists, mammography screening programs are looking toward artificial intelligence (AI) to increase…”
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Abstract 5706: ImmunoPROFILE: A prospective implementation of clinically validated, quantitative immune cell profiling test identifies tumor-infiltrating CD8+ and PD-1+ cell densities as prognostic biomarkers across a 2,023 patient pan-cancer cohort treated with different therapies by Lindsay, James, Sharma, Bijaya, Felt, Kristen D., Giobbie-Hurder, Anita, Dryg, Ian, Weirather, Jason L., Altreuter, Jennifer, Mazor, Tali, Kumari, Priti, Alessi, Joao V., Nirmal, Ajit J., Manos, Michael P., Kumar, Ananth R., Lotter, William, Cerami, Ethan, Johnson, Burce E., Lindeman, Neil I., Sholl, Lynette M., Nowak, Jonathan A., Rodig, Scott J.

“…Tumor-infiltrating lymphocyte (TIL) density has been identified as a prognostic and predictive biomarker in select tumors treated with defined therapies. These…”
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