In this episode, Daniel Belkin and Mitch Belkin interview Ben Strong, MD about teleradiology and medical malpractice. They discuss RadNet’s database on major misses and lawsuits as well as how tort law varies state-by-state.

Who is Ben Strong?

Dr. Strong is the Chief Medical Officer at vRad and head clinical content creator and curator of vRad Radiology Education. Dr. Strong is an AIRP Lecturer and a contributor to vRad’s popular free radiology educational content.

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In this episode, Daniel Belkin and Mitch Belkin interview Steven Hollon, PhD about the evolutionary roots of unipolar depression, its prevalence, as well as current treatment options. They discuss Aaron Beck, the father of cognitive therapy (CBT), before diving into the potential adaptive origins of depression, rumination, and how cognitive behavior therapy works. Finally, they touch on whether combining CBT and medication actually decreases relapse rates more than CBT or medication alone.

Who is Steven Hollon?

Steven Hollon, PhD, is a psychologist and researcher at Vanderbilt University. Dr. Hollon’s research focuses on the treatment and prevention of depression.

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In this episode, Daniel Belkin and Mitch Belkin interview Eliot Siegel, MD about developing the first filmless healthcare enterprise at the Baltimore, VA in 1993 which revolutionized the practice of medicine. They discuss the challenges of this innovation, including the costs of computing, the difficulties of imaging compression and data management. They touch on theragnostics, a novel subspecialty in nuclear medicine, which utilizes molecular treatments to target cancer.

Who is Eliot Siegel?

Dr. Eliot Siegel is a Professor of Radiology at the University of Maryland School of Medicine. He is a prolific author and speaker, has written over 300 articles on medical imaging and PACS, has edited several books, and given more than 1,000 presentations worldwide. In addition to his interest in digital imaging and PACS, he’s interested in telemedicine, the electronic medical record, informatics and artificial intelligence/machine learning.

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