2024
Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels
Warman P, Warman A, Warman R, Degnan A, Blickman J, Smith D, McHale P, Coburn Z, McCormick S, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G. Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels. Emergency Medicine Journal 2024, 41: 298-303. PMID: 38233106, DOI: 10.1136/emermed-2023-213158.Peer-Reviewed Original ResearchCranial CT scanEmergency physiciansIntracranial haemorrhageBoard-certified emergency physiciansCT scanYears of practice experienceNon-contrast cranial CT scansED physiciansClinical careImaging ReportingEP cohortArtificial intelligenceReader accuracyNon-contrastPatient outcomesRadiologistsRandom orderPhysiciansPatientsCohort
2014
Femoroacetabular impingement: a review of current concepts.
Sangal RB, Waryasz GR, Schiller JR. Femoroacetabular impingement: a review of current concepts. Rhode Island Medical Journal 2014, 97: 33-8. PMID: 25365818.Peer-Reviewed Original ResearchConceptsLong-term outcome studiesDevelopment of osteoarthritisQuality of lifeHip painMost patientsCommon diagnosisPlain radiographsSurgical interventionPhysical examinationDefinitive diagnosisFemoroacetabular impingementOpen procedurePhysical therapyPatient historyCT scanOutcome studiesFemoral headDiagnostic imagingBony anatomyOrthopaedic communitySurgical planningYoung populationCurrent conceptsDiagnosisOsteoarthritis