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Will X-Rays Soon All Be Read By AI?, with Louis Plesner
- Episode Topic:In this episode of The Skeleton Crew, host Jen Callahan interviews Dr. Louis Plesner, a remarkable guest from Copenhagen, Denmark. Dr. Plesner is a Ph.D. student working on the application of machine learning in radiology while also contributing to an emergency room and teaching ultrasound techniques.
- Lessons You'll Learn:Dr. Plesner's journey from a radiology residency to specializing in machine learning for radiology applications sheds light on the evolving landscape of medical imaging. He emphasizes that radiologists should not fear technological advancements like AI, as they complement rather than replace the role of human physicians. He also highlights the potential of point-of-care ultrasound in various clinical specialties for its versatility and patient interaction benefits.
- About Our Guest:Dr. Louis Plesner, a Ph.D. student in radiology, provides insights into the intersection of machine learning and medical imaging. He discusses how machine learning can assist in diagnosing and interpreting radiographic images, making processes more efficient and impactful. Dr. Plesner's passion for patient interaction led him to a role in an emergency department, where he contributes his expertise in ultrasound techniques.
- Topics Covered:Within this episode, Dr. Plesner unveils his distinctive voyage transitioning from cardiology to radiology, narrating his immersion in the realm of machine learning. The discourse navigates the convergence of AI and machine learning within radiology, underscoring their role in amplifying, not supplanting, the radiologists' duties. Dr. Plesner elaborates on the efficacy of natural language processing models such as ChatGPT, unraveling their scope that extends beyond radiology. Envisioning the times ahead, he contemplates the potential of AI in automating reporting procedures and elevating patient care standards.
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By Jennifer Callahan
4
44 ratings
- Episode Topic:In this episode of The Skeleton Crew, host Jen Callahan interviews Dr. Louis Plesner, a remarkable guest from Copenhagen, Denmark. Dr. Plesner is a Ph.D. student working on the application of machine learning in radiology while also contributing to an emergency room and teaching ultrasound techniques.
- Lessons You'll Learn:Dr. Plesner's journey from a radiology residency to specializing in machine learning for radiology applications sheds light on the evolving landscape of medical imaging. He emphasizes that radiologists should not fear technological advancements like AI, as they complement rather than replace the role of human physicians. He also highlights the potential of point-of-care ultrasound in various clinical specialties for its versatility and patient interaction benefits.
- About Our Guest:Dr. Louis Plesner, a Ph.D. student in radiology, provides insights into the intersection of machine learning and medical imaging. He discusses how machine learning can assist in diagnosing and interpreting radiographic images, making processes more efficient and impactful. Dr. Plesner's passion for patient interaction led him to a role in an emergency department, where he contributes his expertise in ultrasound techniques.
- Topics Covered:Within this episode, Dr. Plesner unveils his distinctive voyage transitioning from cardiology to radiology, narrating his immersion in the realm of machine learning. The discourse navigates the convergence of AI and machine learning within radiology, underscoring their role in amplifying, not supplanting, the radiologists' duties. Dr. Plesner elaborates on the efficacy of natural language processing models such as ChatGPT, unraveling their scope that extends beyond radiology. Envisioning the times ahead, he contemplates the potential of AI in automating reporting procedures and elevating patient care standards.