المؤلفون: Kitamura FC; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Prevedello LM; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Colak E; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Halabi SS; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Lungren MP; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Ball RL; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Kalpathy-Cramer J; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Kahn CE Jr; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Richards T; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Talbott JF; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Shih G; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Lin HM; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Andriole KP; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Vazirabad M; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Erickson BJ; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Flanders AE; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.)., Mongan J; From the Department of Applied Innovation and AI, Dasa, São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo (Unifesp), Av Prof Ascendino Reis, 1245, 131, São Paulo, SP, Brazil 04027-000 (F.C.K.); Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio (L.M.P.); Department of Medical Imaging, University of Toronto, Toronto, Canada (E.C.); Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Ill (S.S.H.); Microsoft HLS, Redmond, Wash (M.P.L.); Department of Biomedical Data Science, Stanford University, Stanford, Calif (M.P.L.); The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Department of Ophthalmology, University of Colorado Denver School of Medicine, Aurora, Colo (J.K.C.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (C.E.K.); Department of Radiology, University of Utah, Salt Lake City, Utah (T.R.); Department of Radiology and Biomedical Imaging (M.P.L., J.F.T., J.M.) and Center for Intelligent Imaging (J.M.), University of California San Francisco, San Francisco, Calif; Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Medical Imaging, Unity Health Toronto, Toronto, Canada (H.M.L.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, MGB Data Science Office, Boston, Mass (K.P.A.); Informatics Department, Radiological Society of North America, Oak Brook, Ill (M.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); and Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.).

المصدر: Radiology. Artificial intelligence [Radiol Artif Intell] 2024 May; Vol. 6 (3), pp. e230227.

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE

مواضيع طبية MeSH: Artificial Intelligence* , Radiology*, Humans ; Diagnostic Imaging/methods ; Societies, Medical ; North America

المؤلفون: Jafari, Zahra, Karami, Ebrahim

المصدر: Information (2078-2489); Jul2023, Vol. 14 Issue 7, p410, 14p

مصطلحات موضوعية: BREAST, CONVOLUTIONAL neural networks, MACHINE learning, EARLY detection of cancer, MAMMOGRAMS, COMPUTER-aided diagnosis, FEATURE extraction, FEATURE selection

المؤلفون: Huynh, Hoang Nhut, Tran, Anh Tu, Tran, Trung Nghia

المصدر: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 12, p6894, 19p

مصطلحات موضوعية: BREAST, EARLY detection of cancer, RECEIVER operating characteristic curves, BREAST cancer, CANCER diagnosis, MAMMOGRAMS

المؤلفون: Prodan, Marcel, Paraschiv, Elena, Stanciu, Alexandru

المصدر: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 7, p4272, 18p

مصطلحات موضوعية: DEEP learning, BREAST cancer, EARLY detection of cancer, MAMMOGRAMS, COMPUTER vision, DATA augmentation

المؤلفون: Alex Khang

نوع المادة: eBook.

الموضوعات: Artificial intelligence

تصنيفات: MEDICAL / Administration, COMPUTERS / Artificial Intelligence / General, MEDICAL / Allied Health Services / Medical Technology