Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hours
Neurol 90:e1570-e1577, Wouters, A.,et al, 2018
A Fatal Case of Undiagnosed Candida Meningitis-Role of Computer-assisted Diagnosis
Neurologist 23:138-140, Finelli, P.F., 2018
The Stroke-Thrombolytic Predictive Instrument: A Predictive Instrument for Intravenous Thrombolysis in Acute Ischemic Stroke
Stroke 37:2957-2962,2865, Kent,D.M.,et al, 2006
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
NEjM 388:1201-1208,1220, Haug,C.H. & Drazen,J.M., 2023
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA 330:78-79, Kanjee,Z.,et al, 2023
Use of GPT-4 to Diagnose Complex Clinical Cases
NEJM AI doi:10.1056/AIp2300031, Eriksen,A.V.,et al, 2023
Should Electronic Differential Diagnosis Support be Used Early or Late in the Diagnostic Process? A Multicentre Experimental Study of Isabel
BMJ Qual Saf doi:10.1136/bmjqs-2021-013493, Sibbald, M.,et al, 2022
Reaching 95%: Decision Support Tools are the Surest Way to Improve Diagnosis Now
BMJ Qual Saf doi:10.1136/bmjqs-2021-014033, Graber, M.L., 2022
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,et al, 2022
Evaluation of Medical Decision Support Systems (DDX Generators) Using Real Medical Cases of Varying Complexity and Origin
BMC Med Inform Dcis Mak 22:254, Fritz,P.,et al, 2022
Assessing the Utility of a Differential Diagnostic Generator in UK General Practice: A Feasibility Study
Diagnosis 8:91-99, Cheraghi-Sohi, S.,et al, 2021
Reimagining Specialty Consultation in the Digital Age the Potential Role of Targeted Automatic Electronic Consultations
JAMA doi:10.1001/JAMA.2019.6607, Wachter, R.M.,et al, 2019
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017
Computer-Assisted Diagnostic Checklist in Clinical Neurology
Neurologist 21:23-27, Finelli,P.F. and McCabe, A.L., 2016
NeurologicDx - Internet Based Differential Diagnostic Checklist in Clinical Neurology
Ann Neurol 74:S5, Finelli, P.F. & McCabe, A.L., 2013
Reliability of Real-Time Video Smartphone for Assessing National Institutes of Health Stroke Scale Scores in Acute Stroke Patients
Stroke 43:3271-3277, Demaerschalk, B.,et al, 2012
Untangling the Web - Patients, Doctors, and the Internet
NEJM 362:1063-1066, Hartzband,P. &Groopman,J., 2010
A Review of the Evidence for the Use of Telemedicine Within Stroke Systems of Care: A Scientific Statement from the American Heart Association/American Stroke Association
Stroke 40:2616-2634, Schwamm,L.H.,et al, 2009
Recommendations for the Implementation of Telemedicine Within Stroke Systems of Care: A Policy Statement From the American Heart Association
Stroke 40:2635-2660, Schwamm,L.H.,et al, 2009
Googling for a Diagnosis--Use of Google as a Diagnostic Aid: Internet Based Study
BMJ 333:1143-1145, Tang,H. &Ng,J.H.K., 2006
The Internet
JNNP 73:619-628, Al-Shahi,R.,et al, 2002
The Frequency of Carpal Tunnel Syndrome in Computer Users at a Medical Facility
Neurol 56:1568-1570, Clarke Stevens,J.,et al, 2001
First Seizures Associated with Playing Electronic Screen Games:A Community-Based Study in Great Britain
Ann Neurol 37:733-737, Quirk,J.A.,et al, 1995