2023
Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports.
Amin K, Davis M, Doshi R, Haims A, Khosla P, Forman H. Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports. Radiology 2023, 309: e232561. PMID: 37987662, DOI: 10.1148/radiol.232561.Peer-Reviewed Original ResearchClient experience of food assistance programs among adults in the United States: a qualitative evidence synthesis protocol
Rhodes E, Nyhan K, Okoli N, Duffany K, Rodriguez M, Perkins B, Ross D, Pérez-Escamilla R. Client experience of food assistance programs among adults in the United States: a qualitative evidence synthesis protocol. Frontiers In Public Health 2023, 11: 1193451. PMID: 37719734, PMCID: PMC10501444, DOI: 10.3389/fpubh.2023.1193451.Peer-Reviewed Original ResearchConceptsFood assistance programsAssistance programsQualitative studyPrimary qualitative studiesUnited StatesClient experiencePositive experiencesGRADE-CERQual approachExperiences of clientsQualitative evidence synthesis protocolSecurity organizationsCommunity membersQualitative evidence synthesisKey partnersThematic synthesisHealth practitionersHigh-quality programmingDevelopment of measuresReview findingsExperienceGrey literatureKey aspectsArticleClientsPartners
2022
Rhytidectomy—Information Patients Seek and Where They Find Answers
Fritz C, Ravin E, Suresh N, Lowery A, Rajasekaran K. Rhytidectomy—Information Patients Seek and Where They Find Answers. Facial Plastic Surgery 2022, 39: 201-209. PMID: 36174657, DOI: 10.1055/a-1952-8569.Peer-Reviewed Original Research
2019
Assessing the Use of Google Translate for Spanish and Chinese Translations of Emergency Department Discharge Instructions
Khoong E, Steinbrook E, Brown C, Fernandez A. Assessing the Use of Google Translate for Spanish and Chinese Translations of Emergency Department Discharge Instructions. JAMA Internal Medicine 2019, 179: 580-582. PMID: 30801626, PMCID: PMC6450297, DOI: 10.1001/jamainternmed.2018.7653.Peer-Reviewed Original Research
2018
TQuest, A Web-Based Platform to Enable Precision Medicine by Linking a Tumor’s Genetic Defects to Therapeutic Options
Gershkovich P, Platt J, Knopf J, Tasoulis MK, Shi W, Pusztai L, Hatzis C. TQuest, A Web-Based Platform to Enable Precision Medicine by Linking a Tumor’s Genetic Defects to Therapeutic Options. JCO Clinical Cancer Informatics 2018, 2: 1-13. PMID: 30652574, DOI: 10.1200/cci.17.00120.Peer-Reviewed Original ResearchConceptsData acquisition layerFull-text indexAcquisition layerUser interfaceData layersPrototype web applicationWeb-based platformWeb applicationRelevance scoresSearch enginesSource codeSoftware toolsSearch resultsInterventional clinical trialsLabel dataClinical trialsTherapeutic optionsPlatformUS FoodMolecular abnormalitiesMetastatic breast cancerPotential therapeutic optionPotential treatment optionTumor DNA sequencingWeb-based modules
2014
The Use of Google Trends in Health Care Research: A Systematic Review
Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K. The Use of Google Trends in Health Care Research: A Systematic Review. PLOS ONE 2014, 9: e109583. PMID: 25337815, PMCID: PMC4215636, DOI: 10.1371/journal.pone.0109583.Peer-Reviewed Original Research
2013
Proteomics and the Analysis of Proteomic Data: 2013 Overview of Current Protein‐Profiling Technologies
Bruce C, Stone K, Gulcicek E, Williams K. Proteomics and the Analysis of Proteomic Data: 2013 Overview of Current Protein‐Profiling Technologies. Current Protocols In Bioinformatics 2013, 41: 13.21.1-13.21.17. PMID: 23504934, PMCID: PMC3688054, DOI: 10.1002/0471250953.bi1321s41.Peer-Reviewed Original ResearchConceptsMore post-translational modificationsStudy of proteomesPost-translational modificationsFragment ionsChemical structureProtein profiling technologiesMass spectrometryProteolytic peptidesCharge ratioProteomic dataProtein sequencesSpectral dataPrecursor proteinProteomeProteomicsProteinQuantitationSpectrometryIons
2012
Identifying the status of genetic lesions in cancer clinical trial documents using machine learning
Wu Y, Levy M, Micheel C, Yeh P, Tang B, Cantrell M, Cooreman S, Xu H. Identifying the status of genetic lesions in cancer clinical trial documents using machine learning. BMC Genomics 2012, 13: s21. PMID: 23282337, PMCID: PMC3535695, DOI: 10.1186/1471-2164-13-s8-s21.Peer-Reviewed Original Research
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