13 research outputs found
Recent Updates in Both the Diagnosis and Treatment Options that Impact the Clinical Treatment of Pulmonary Arterial Hypertension
Long term transvenous ventricular pacing in adults with congenital abnormalities of the heart and great arteries.
Duplicate sources of pulmonary blood supply in pulmonary atresia with ventricular septal defect.
Ascending aortic aneurysm in a patient with an aortic Starr-Edwards ball valve prosthesis implanted 39 years previously
Descending aortography with balloon inflation. A technique for evaluating the size of persistent ductus arteriosus in infants with large proximal left to right shunts.
Sitaxentan for the Oral Treatment of Pulmonary Arterial Hypertension: Benefits from Endothelin Receptor Subtype Selectivity?
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully auton-omous transportation. Advances in each of these domains have led some to call AI the “fourth” industrial revolution [1]. In healthcare, AI is emerging as both a productive and disruptive force across many disci-plines. This is perhaps most evident in Diagnostic Radiology and Pathology, specialties largely built around the processing and complex interpretation of medical images, where the role of AI is increasingly seen as both a boon and a threat. In Radiation Oncology as well, AI seems poised to reshape the specialty in significant ways, though the impact of AI has been relatively limited at present, and may rightly seem more distant to many, given the predominantly interpersonal and complex interventional nature of the specialty. In this overview, we will explore the current state and anticipated future impact of AI on Radiation Oncology, in detail, focusing on key topics from multiple stakeholder perspectives, as well as the role our specialty may play in helping to shape the future of AI within the larger spectrum of medicine