Publications by authors named "Daven Patel"

Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.

Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).

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Introduction: Cardiac point-of-care ultrasound (POCUS) can evaluate for systolic and diastolic dysfunction to inform care in the Emergency Department (ED). However, accurate assessment can be limited by user experience. Artificial intelligence (AI) has been proposed as a model to increase the accuracy of cardiac POCUS.

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Article Synopsis
  • Heart failure (HF) is a serious condition that can lead to significant health complications, and Stage B HF refers to structural heart disease before symptoms arise.
  • This study aimed to explore the prevalence of undiagnosed Stage B HF among patients with cardiovascular risk factors in an Emergency Department and identify which factors increase the risk of having Stage B HF.
  • A total of 209 participants were studied, revealing that 59.8% were found to have undiagnosed Stage B HF, indicating a need for improved screening procedures in emergency care settings.
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The utilization of artificial intelligence (AI) in medical imaging has become a rapidly growing field as a means to address contemporary demands and challenges of healthcare. Among the emerging applications of AI is point-of-care ultrasound (POCUS), in which the combination of these two technologies has garnered recent attention in research and clinical settings. In this Controversies paper, we will discuss the benefits, limitations, and future considerations of AI in POCUS for patients, clinicians, and healthcare systems.

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Background: Lung ultrasound can evaluate for pulmonary edema, but data suggest moderate inter-rater reliability among users. Artificial intelligence (AI) has been proposed as a model to increase the accuracy of B line interpretation. Early data suggest a benefit among more novice users, but data are limited among average residency-trained physicians.

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Background: Necrotizing fasciitis (NF) is a deadly disorder that can be challenging to diagnose on history and examination alone. Point-of-care ultrasound (POCUS) is widely available and has been increasingly used for diagnosing skin and soft tissue infections. We performed a systematic review to determine the accuracy of POCUS for diagnosing NF with subgroup analyses of the accuracy of specific POCUS examination components.

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Introduction: Endotracheal intubation is commonly performed in the Emergency Department. Traditional measures for estimating and confirming the endotracheal tube (ETT) depth may be inaccurate or lead to delayed recognition. Ultrasound may offer a rapid tool to confirm ETT depth at the bedside.

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Background: Studies on ocular point-of-care ultrasound vary on whether gel should be directly applied to the eye or on top of an adhesive membrane (i.e., Tegadermâ„¢).

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Article Synopsis
  • The study aimed to compare the diagnostic accuracy of using air versus saline for inflating the cuff of an endotracheal tube (ETT) to confirm proper intubation placement.
  • Conducted on adult cadavers, results showed that saline inflation led to faster confirmation times, higher operator confidence, and slightly fewer false negatives compared to air inflation.
  • While both methods were highly sensitive and specific, the differences in time and confidence suggest that saline may be the preferred option for intubation verification.
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Background: Shoulder dislocations are a common injury prompting presentation to the emergency department. Point-of-care ultrasound (POCUS) is a diagnostic tool for shoulder dislocations, which has the potential to reduce time to diagnosis and reduction, radiation exposure, and health care costs. This systematic review sought to evaluate the diagnostic accuracy of POCUS for diagnosing shoulder dislocations.

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Objective: Emergency departments (EDs) have implemented HIV screening using a variety of strategies. This study investigates how specific patient and health system factors in the ED impact who is and is not screened in a combined targeted and nontargeted, electronic medical record (EMR)-driven, opt-out, HIV screening program.

Methods: This was a retrospective, cross-sectional study of ED visits where patients were determined eligible for HIV screening by an EMR algorithm between November 18, 2014, and July 15, 2015.

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Introduction: Retrograde arterial dissection is a recognized complication of endovascular intervention but has not been well reported especially in the context of dialysis arteriovenous access procedures. The management of this complication is also not well defined.

Case Presentation: We report the case of an 80-year-old female with end-stage renal disease (ESRD) on dialysis who developed an asymptomatic retrograde dissection of the left axillary artery during an arteriogram performed via a retrograde approach as part of access dysfunction evaluation.

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