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Items: 1 to 20 of 461

1.

Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.

Savage RH, van Assen M, Martin SS, Sahbaee P, Griffith LP, Giovagnoli D, Sperl JI, Hopfgartner C, Kärgel R, Schoepf UJ.

J Thorac Imaging. 2020 Feb 19. doi: 10.1097/RTI.0000000000000484. [Epub ahead of print]

PMID:
32079905
2.
3.

Innovation without integration.

Cohen AB, Martin SS.

NPJ Digit Med. 2020 Feb 3;3:15. doi: 10.1038/s41746-020-0220-z. eCollection 2020. No abstract available.

4.

High-Sensitivity C-Reactive Protein Discordance With Atherogenic Lipid Measures and Incidence of Atherosclerotic Cardiovascular Disease in Primary Prevention: The ARIC Study.

Quispe R, Michos ED, Martin SS, Puri R, Toth PP, Al Suwaidi J, Banach M, Virani SS, Blumenthal RS, Jones SR, Elshazly MB.

J Am Heart Assoc. 2020 Feb 4;9(3):e013600. doi: 10.1161/JAHA.119.013600. Epub 2020 Jan 30.

5.

Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method.

Booz C, Yel I, Wichmann JL, Boettger S, Al Kamali A, Albrecht MH, Martin SS, Lenga L, Huizinga NA, D'Angelo T, Cavallaro M, Vogl TJ, Bodelle B.

Eur Radiol Exp. 2020 Jan 28;4(1):6. doi: 10.1186/s41747-019-0139-9.

6.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association.

Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee.

Circulation. 2020 Jan 29:CIR0000000000000757. doi: 10.1161/CIR.0000000000000757. [Epub ahead of print]

PMID:
31992061
7.

Using Mobile Health Tools to Assess Physical Activity Guideline Adherence and Smoking Urges: Secondary Analysis of mActive-Smoke.

Shan R, Yanek LR, Silverman-Lloyd LG, Kianoush S, Blaha MJ, German CA, Graham GN, Martin SS.

JMIR Cardio. 2020 Jan 6;4(1):e14963. doi: 10.2196/14963.

8.

Interprofessional education and collaboration among healthcare students and professionals: a systematic review and call for action.

Spaulding EM, Marvel FA, Jacob E, Rahman A, Hansen BR, Hanyok LA, Martin SS, Han HR.

J Interprof Care. 2019 Dec 21:1-10. doi: 10.1080/13561820.2019.1697214. [Epub ahead of print]

PMID:
31865823
9.

Low-kV coronary artery calcium scoring with tin filtration using a kV-independent reconstruction algorithm.

Vingiani V, Abadia AF, Schoepf UJ, Fischer AM, Varga-Szemes A, Sahbaee P, Allmendinger T, Tesche C, Griffith LP, Marano R, Martin SS.

J Cardiovasc Comput Tomogr. 2019 Nov 29. pii: S1934-5925(19)30353-3. doi: 10.1016/j.jcct.2019.11.006. [Epub ahead of print]

PMID:
31843523
10.

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study.

Yang WE, Spaulding EM, Lumelsky D, Hung G, Huynh PP, Knowles K, Marvel FA, Vilarino V, Wang J, Shah LM, Xun H, Shan R, Wongvibulsin S, Martin SS.

JMIR Mhealth Uhealth. 2019 Dec 16;7(12):e16391. doi: 10.2196/16391.

11.

Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS).

Shan R, Ding J, Plante TB, Martin SS.

J Am Heart Assoc. 2019 Dec 17;8(24):e014390. doi: 10.1161/JAHA.119.014390. Epub 2019 Dec 10.

12.

Comparison of Calculated Low-Density Lipoprotein Cholesterol (LDL-C) Values in HIV-Infected and HIV-Uninfected Men Using the Traditional Friedewald and the Novel Martin-Hopkins LDL-C Equations.

Schneider EE, Sarkar S, Margolick JB, Martin SS, Post WS, Brown TT.

AIDS Res Hum Retroviruses. 2020 Jan 6. doi: 10.1089/AID.2019.0220. [Epub ahead of print]

PMID:
31813226
13.

Improved coronary artery contrast enhancement using noise-optimised virtual monoenergetic imaging from dual-source dual-energy computed tomography.

Arendt CT, Czwikla R, Lenga L, Wichmann JL, Albrecht MH, Booz C, Martin SS, Leithner D, Tischendorf P, Blandino A, Vogl TJ, D'Angelo T.

Eur J Radiol. 2020 Jan;122:108666. doi: 10.1016/j.ejrad.2019.108666. Epub 2019 Sep 14.

PMID:
31786506
14.

Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

Martin SS, van Assen M, Rapaka S, Hudson HT Jr, Fischer AM, Varga-Szemes A, Sahbaee P, Schwemmer C, Gulsun MA, Cimen S, Sharma P, Vogl TJ, Schoepf UJ.

JACC Cardiovasc Imaging. 2020 Feb;13(2 Pt 1):524-526. doi: 10.1016/j.jcmg.2019.09.015. Epub 2019 Nov 13. No abstract available.

PMID:
31734200
15.

A randomized controlled trial of online symptom searching to inform patient generated differential diagnoses.

Martin SS, Quaye E, Schultz S, Fashanu OE, Wang J, Saheed MO, Prem Ramaswami, de Freitas H, Ribeiro-Neto B, Parakh K.

NPJ Digit Med. 2019 Nov 11;2:110. doi: 10.1038/s41746-019-0183-0. eCollection 2019.

16.

Measurement Reliability and Diagnostic Accuracy of Virtual Monoenergetic Dual-Energy CT in Patients with Colorectal Liver Metastases.

Lenga L, Lange M, Arendt CT, Booz C, Yel I, Bodelle B, D'Angelo T, Hammerstingl RM, Huizinga NA, Vogl TJ, Martin SS, Albrecht MH.

Acad Radiol. 2019 Nov 11. pii: S1076-6332(19)30453-2. doi: 10.1016/j.acra.2019.09.020. [Epub ahead of print]

PMID:
31727567
17.

Prevalence of familial chylomicronemia syndrome in a quaternary care center.

Pallazola VA, Sajja A, Derenbecker R, Ogunmoroti O, Park J, Sathiyakumar V, Martin SS.

Eur J Prev Cardiol. 2019 Nov 13:2047487319888054. doi: 10.1177/2047487319888054. [Epub ahead of print] No abstract available.

PMID:
31718261
18.

Achievement of Very Low Low-Density Lipoprotein Cholesterol Levels: Is It Time to Unlearn Concern for Hemorrhagic Stroke?

Michos ED, Martin SS.

Circulation. 2019 Dec 17;140(25):2063-2066. doi: 10.1161/CIRCULATIONAHA.119.044275. Epub 2019 Nov 11. No abstract available.

PMID:
31707828
19.

How useful is the smartwatch ECG?

Isakadze N, Martin SS.

Trends Cardiovasc Med. 2019 Oct 31. pii: S1050-1738(19)30149-5. doi: 10.1016/j.tcm.2019.10.010. [Epub ahead of print] Review.

20.

Myocardial extracellular volume fraction to differentiate healthy from cardiomyopathic myocardium using dual-source dual-energy CT.

Abadia AF, van Assen M, Martin SS, Vingiani V, Griffith LP, Giovagnoli DA, Bauer MJ, Schoepf UJ.

J Cardiovasc Comput Tomogr. 2019 Sep 23. pii: S1934-5925(19)30281-3. doi: 10.1016/j.jcct.2019.09.008. [Epub ahead of print]

PMID:
31615736

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