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S7E10 - My Imaging Informatics Journey - Dr. Katherine Andriole

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Conteúdo fornecido por SIIMcast. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por SIIMcast ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Join us on SIIMCast for an insightful episode with Dr. Katherine Andriole, a pioneering figure in radiological imaging informatics with over three decades of contributions to research, teaching, clinical service, and administration. Currently, an Associate Professor of Radiology at Harvard Medical School and Director of Academic Research and Education at Mass General Brigham's Data Science/AI office, Dr. Andriole has used her expertise in computer science, engineering, and informatics to push the frontiers of medical research, enhance medical education, and improve patient care.

In this episode, Dr. Andriole shares her journey from her early interests in math and science to her current groundbreaking work in medical imaging informatics and machine learning. Her roles in significant organizations like the American College of Radiology and editorial positions in major medical journals have shaped the direction of her field and mentored over a hundred trainees, leaving a lasting impact on the future of medical imaging and informatics.

Embark on a deep dive into Dr. Andriole’s storied career, a journey that highlights her influential work and paints a broader picture of the evolution of medical imaging and informatics. Whether you are a medical professional, a student, or simply someone interested in the intersection of technology and healthcare, this episode is a must-listen, promising to inspire and inform. Tune in to learn how Dr. Andriole’s contributions have advanced the field of imaging informatics and how her ongoing work continues to influence the future of medicine and patient care.

  continue reading

100 episódios

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Manage episode 424214646 series 1437996
Conteúdo fornecido por SIIMcast. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por SIIMcast ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Join us on SIIMCast for an insightful episode with Dr. Katherine Andriole, a pioneering figure in radiological imaging informatics with over three decades of contributions to research, teaching, clinical service, and administration. Currently, an Associate Professor of Radiology at Harvard Medical School and Director of Academic Research and Education at Mass General Brigham's Data Science/AI office, Dr. Andriole has used her expertise in computer science, engineering, and informatics to push the frontiers of medical research, enhance medical education, and improve patient care.

In this episode, Dr. Andriole shares her journey from her early interests in math and science to her current groundbreaking work in medical imaging informatics and machine learning. Her roles in significant organizations like the American College of Radiology and editorial positions in major medical journals have shaped the direction of her field and mentored over a hundred trainees, leaving a lasting impact on the future of medical imaging and informatics.

Embark on a deep dive into Dr. Andriole’s storied career, a journey that highlights her influential work and paints a broader picture of the evolution of medical imaging and informatics. Whether you are a medical professional, a student, or simply someone interested in the intersection of technology and healthcare, this episode is a must-listen, promising to inspire and inform. Tune in to learn how Dr. Andriole’s contributions have advanced the field of imaging informatics and how her ongoing work continues to influence the future of medicine and patient care.

  continue reading

100 episódios

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