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Editorial
. 2024 Jul;312(1):e241087.
doi: 10.1148/radiol.241087.

Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork

Hedvig Hricak  1 , Georg Langs  1
Affiliations
Editorial

Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork

Hedvig Hricak et al. Radiology. 2024 Jul.
No abstract available

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Conflict of interest statement

Disclosures of conflicts of interest: H.H. Leadership roles: Board of Directors of Ion Beam Applications (IBA); External Advisory Board of the Sidney Kimmel Comprehensive Cancer Center (SKCCC) at Johns Hopkins; International Advisory Board of the University of Vienna, Austria; Scientific Committee of the DKFZ (German Cancer Research Center), Germany; Board of Trustees of the DKFZ; Board of Directors of iCAD; and Advisory Board of The Lancet Oncology; stock options for service to iCAD. G.L. Grants from Siemens Healthineers, Austrian Federal Ministry for Labour and Economy, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association; payment for lectures from Siemens Healthineers, Boehringer Ingelheim, and Roche; patents granted; scientific advisory board member, European Institute of Biomedical Imaging Research; shareholder and cofounder, Contexflow.

Figures

Hedvig Hricak, MD, PhD, is a member of the Department of Radiology (Memorial Sloan Kettering Cancer Center) and professor (Gerstner Sloan Kettering Graduate School of Biomedical Sciences). Her research has focused on the validation and dissemination of innovative imaging techniques and strategies to advance cancer diagnostics. She is deeply engaged in efforts to lessen disparities in global cancer care. She is a member of the National Academy of Medicine.
Hedvig Hricak, MD, PhD, is a member of the Department of Radiology (Memorial Sloan Kettering Cancer Center) and professor (Gerstner Sloan Kettering Graduate School of Biomedical Sciences). Her research has focused on the validation and dissemination of innovative imaging techniques and strategies to advance cancer diagnostics. She is deeply engaged in efforts to lessen disparities in global cancer care. She is a member of the National Academy of Medicine.
Georg Langs, PhD, is a professor of machine learning in medical imaging and director of the Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna. A mathematician by training, his research interests are in machine learning, medical imaging, and precision medicine. He is a research affiliate at the Computer Science and Artificial Intelligence Laboratory (Massachusetts Institute of Technology) and is in the Emerging Leaders programs of the National Academy of Medicine and International Society for Strategic Studies in Radiology.
Georg Langs, PhD, is a professor of machine learning in medical imaging and director of the Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna. A mathematician by training, his research interests are in machine learning, medical imaging, and precision medicine. He is a research affiliate at the Computer Science and Artificial Intelligence Laboratory (Massachusetts Institute of Technology) and is in the Emerging Leaders programs of the National Academy of Medicine and International Society for Strategic Studies in Radiology.
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References

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