Publications by authors named "Justin Pham"

Article Synopsis
  • The study assesses ChatGPT's ability to categorize nephrology patient messages as non-urgent, urgent, or emergent, crucial for timely medical care.
  • In trials involving 150 simulated messages, ChatGPT showed high accuracy, correctly triaging 93% of messages in both attempts, with slight variations in overestimations and underestimations.
  • The findings suggest that AI, like ChatGPT-4, could effectively improve patient communication triage in outpatient settings, enhancing operational efficiency and care quality.
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Article Synopsis
  • Accurate ICD-10 coding is essential for healthcare reimbursement and patient care, and the study evaluates how ChatGPT can enhance this coding process by using simulated nephrology cases.* -
  • ChatGPT versions 3.5 and 4.0 were tested on 100 nephrology scenarios, with results showing that version 4.0 achieved higher accuracy (99%) compared to version 3.5 (91%) in the first round, and maintained high accuracy in the second round.* -
  • The findings suggest ChatGPT 4.0 significantly improves coding accuracy and could decrease physician workload, but emphasize the importance of continuing to refine AI systems to ensure high standards in healthcare.
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  • * It misidentified three medications due to errors in reading their imprints but showed 100% consistency upon retesting after feedback.
  • * The study concluded that while ChatGPT-4 shows promise as a tool for medication identification, improving its ability to read challenging imprints is necessary for better integration into digital health.
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  • - Cytomegalovirus (CMV) is a major opportunistic infection in transplant patients, and some strains have developed resistance to standard antiviral treatments, leading to complications.
  • - The article summarizes the definitions, drug resistance mechanisms, diagnostic processes, and management strategies for treating resistant and refractory CMV infections in transplant recipients.
  • - Expert insights suggest that these infections significantly worsen patient outcomes due to prolonged antiviral use and immunosuppression, stressing the need for optimized immune support and careful antiviral selection.
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Article Synopsis
  • - ChatGPT-4 was tested on 271 nephrology-related questions sourced from X polls to see how well its answers matched professional opinions in the field, with results analyzed based on two rounds of responses.
  • - In the first round, ChatGPT agreed with poll results 60.2% of the time, which slightly improved to 63.1% in the second round, indicating modest effectiveness in aligning with expert opinions.
  • - Subgroup analysis showed better performance in specific topics like homeostasis and pharmacology, and the study highlights both the potential and limitations of using AI like ChatGPT in medical decision-making.
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Background: Functional evaluation of molecules that are predicted to promote stem cell mediated endogenous repair often requires in vivo transplant studies that are low throughput and hinder the rate of discovery. To offer greater throughput for functional validation studies, we miniaturized, simplified and expanded the functionality of a previously developed muscle endogenous repair (MEndR) in vitro assay that was shown to capture significant events of in vivo muscle endogenous repair.

Methods: The mini-MEndR assay consists of miniaturized cellulose scaffolds designed to fit in 96-well plates, the pores of which are infiltrated with human myoblasts encapsulated in a fibrin-based hydrogel to form engineered skeletal muscle tissues.

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Hypertrophic cardiomyopathy (HCM) is a heritable cardiomyopathy that is predominantly caused by pathogenic mutations in sarcomeric proteins. Here we report two individuals, a mother and her daughter, both heterozygous carriers of the same HCM-causing mutation in cardiac Troponin T (). Despite sharing an identical pathogenic variant, the two individuals had very different manifestations of the disease.

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In view of conflicting reports on the pathogenicity of 15q11.2 CNVs of the breakpoints 1-2 (BP1-BP2) region and lack of association with a specific phenotype, we collected phenotypic data on 51,462 patients referred for genetic testing at two centers (Magee-Womens Hospital of UPMC and Baylor Genetics Laboratories, Baylor College of Medicine). Using array CGH, 262 patients with deletions and 215 with duplications were identified and tested for their association with four phenotypes (developmental delay, dysmorphic features, autism group of disorders, and epilepsy/seizures).

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Objective: Low ejection fraction (EF < 40%) portends adverse outcomes in patients undergoing valvular heart surgery. The role of traditional median sternotomy aortic valve replacement (SAVR) compared with minimally invasive aortic valve replacement (MIAVR) in this cohort remains incompletely understood.

Methods: A multi-institutional retrospective review of 1503 patients who underwent SAVR (n = 815) and MIAVR via right anterior thoracotomy (n = 688) from 2011 to 2014 was performed.

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Somatic chromosomal mosaicism arising from post-zygotic errors is known to cause several well-defined genetic syndromes as well as contribute to phenotypic variation in diseases. However, somatic mosaicism is often under-diagnosed due to challenges in detection. We evaluated 10,362 patients with a custom-designed, exon-targeted whole-genome oligonucleotide array and detected somatic mosaicism in a total of 57 cases (0.

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