ER & ICU Imaging – Chest/Abdomen/Pelvis
Contact this Expert Witness
- Company: Midwest Radiology
- Phone: 845-641-3636
- Website: www.robertfreedmd.com/?utm_source=speak&...directory&utm_campaign=directory_listing
Specialties & Experience of this Expert Witness
General Specialties:
Radiology and Diagnostic RadiologyKeywords/Search Terms:
Emergency Radiology, Abdominal Imaging, Body Imaging, Thoracic Imaging, Artificial Intelligence, Radiology AI, Appendicitis, Bowel Obstruction/perforation, PE/DVT, Pneumonia, Lung Cancer, Breast Cancer, Liver, Kidneys, Spleen, Aortic rupture/dissection, Pancreatitis/pancreas cancer, Traumatic Injury, Trial Demonstratives, 3D PrintingEducation:
BS, Biochemistry, Binghamton University; MD, Penn State College of MedicineYears in Practice:
9Number of Times Deposed/Testified in Last 4 Yrs:
11Additional Information
I am uniquely positioned to opine on imaging of the chest, abdomen, and pelvis, with dual fellowships in Abdominal Imaging and Emergency Radiology from UPMC, where I also served as faculty, and a full time practice at Midwest Radiology, the nation’s largest physician owned radiology group with more than 180 radiologists. My daily work focuses on high volume CT and MRI interpretation for emergency patients, giving me both academic rigor and real world perspective. I frequently consult on malpractice cases involving missed or delayed diagnoses, emergency imaging interpretation, and complex abdominal and chest pathology. Attorneys and paralegals rely on me for meticulous, well documented reports, dependable turnaround, and testimony that makes complex imaging understandable. When helpful for case presentation, I collaborate with the healthcare division of Ricoh to transform a patient’s CT data into precise visual reconstructions and 3D printed models. These life sized models can demonstrate a tumor, retained foreign body, blood clot, or abscess, allowing jurors to see and even hold the abnormality derived directly from the patient’s imaging. I am also pursuing multiple certifications in artificial intelligence in radiology, with a particular interest in how emerging technology will shape the future standard of care in medical imaging.