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Showing articles 0 to 44 of 44

Filter Applied: computers,medicine and (Click to remove)

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

Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
NEjM 388:1201-1208,1220, Haug,C.H. & Drazen,J.M., 2023

Transformation of Undergraduate Medical Education in 2023
JAMA 330:1521-1522, Chang,B.S., 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

Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
Neurol 94:1077-1087, Grossman, S.N.,et al, 2020

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

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

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017

National Randomized Controlled Trial of Virtual House Calls for Parkinson Disease
Neurol 89:1152-1161,1103, Beck, C.A.,et al, 2017

Computer-Assisted Diagnostic Checklist in Clinical Neurology
Neurologist 21:23-27, Finelli,P.F. and McCabe, A.L., 2016

Evolutionary Pressures on the Electronic Health Record
JAMA 316:923-924, Zulman, D.M.,et al, 2016

The Tablet Device in Hospital Neurology and in Neurology Graduate Medical Education: A Preliminary Study
Neurohosp 5:15-21, George, P.,et al, 2015

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

Strategies for Coping With Information Overload: You Need a Machine to Help You
BMJ 341:1314-1315, 1281, Smith,R., 2010

ACGME Competencies in Neurology: Web-Based Objective Simulated Computerized Clinical Encounters
Neurol 72:893-898, Kash,K.M.,et al, 2009

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

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

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

Personal Digital Educators
NEJM 352:860-862, Cimino, J. J. & Bakken,S., 2005

Doctors' Experience with Handheld Computers in Clinical Practice: Qualitative Study
BMJ 328:1162-1165, McAlearney,A.S.,et al, 2004

Handheld Computers
BMJ 328:1181-1184, Al-Ubaydli,M., 2004

Information Technology, The Internet, and The Future of Neurology
The Neurologist 9:149-159, Maulden,S.A., 2003

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

Neurologists and the Internet
Arch Neurol 56:1335-1337, Busis,N.A.&Honig,L.S., 1999

Rating Health Information on the Internet, Navigating to Knowledge or to Babel
JAMA 279:611-614, Jadad,A.R.&Gagliardi,A., 1998

Neurosurgery and the Internet:A Critical Analysis and a Review of Available Resources
Neurosurgery 39:216-233, Pareras,L.G.&Martin-Rodriquez,J.G., 1996

Information for the Physician
Ann Int Med 110:670-672, Finelli,P.F.,et al, 1989

Computeritis, Who's Responsible When PCs Make Employees Sick?
Infoworld 11:51-54, Flynn,L., 1989

The Computer as Clinical Consultant
Arch Int Med 140:313-314, Shortliffe,E.H.,et al, 1980

NERVLINE, A Neuroscience Information Retrieval System
Neurol 28:380, Finelli,P.F., 1978

Protocol-Based Computer Reminders, The Quality of Care & the Non-perfectability of Man
NEJM 295:1351, McDonald,C.J., 1976

Computer Analysis of the Clinical Neurological Examination
Comput Bio Med 3:111, Meyer,A.U.,et al, 1973

Medical Diagnosis:An Information-Processing Approach
Comput & Biomed Research 5:315972., Wortman,P.M., 1972



Showing articles 0 to 44 of 44