WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging.

Artificial intelligence (AI) is defined as the theory and development of computer systems able to perform tasks normally associated with human intelligence. At present, AI has been widely used in a variety of ultrasound tasks, including in point-of-care ultrasound, echocardiography, and various diseases of different organs. However, the characteristics of ultrasound, compared to other imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), poses significant additional challenges to AI.

Exploring the dynamics of ultrasound training in medical education: current trends, debates, and approaches to didactics and hands-on learning.

Introduction: Medical education, especially in ultrasound training, is undergoing significant changes. This study examines practical issues in ultrasound medical education, emphasizing state-of-the-art teaching methods, their effectiveness, and implementation challenges.

Methods: The study analyzed advancements in ultrasound education, including randomized controlled trials comparing peer-to-peer teaching with traditional faculty-led instruction.

How to perform Point of Care Ultrasound at resuscitation and when it is useful.

Point of Care Ultrasound (POCUS) can be useful as a tool before, during and after the performance of cardiopulmonary resuscitation (CPR). Before or after resuscitation it can help with monitoring unstable hemodynamics, has the potential to identify reversible causes if patient deteriorates. During resuscitation POCUS can help detect potentially treatable causes of the cardiac arrest.

Ultrasound in bone fracture diagnosis - a comparative meta-analysis and systematic review.

Aim: This meta-analysis evaluates the diagnostic accuracy of ultrasound (US) for bone fractures over the past 47 years, comparing it to established imaging standards.

Material And Methods: We adhered to PRISMA 2020 guidelines to search Medline, EMBASE, and the Cochrane Library using tailored search strategies. The primary outcome, US diagnostic performance, was analyzed across various subgroups including clinical relevance, patient age, and anatomical considerations.

Ultrasound during Advanced Life Support-Help or Harm?

Ultrasound is used in cardiopulmonary resuscitation (CPR) and advanced life support (ALS). However, there is divergence between the recommendations of many emergency and critical care societies who support its use and the recommendations of many international resuscitation organizations who either recommend against its use or recommend it only in limited circumstances. Ultrasound offers potential benefits of detecting reversable causes of cardiac arrest, allowing specific interventions.

Student ultrasound education - current views and controversies.

As an extension of the clinical examination and as a diagnostic and problem-solving tool, ultrasound has become an established technique for clinicians. A prerequisite for high-quality clinical ultrasound practice is adequate student ultrasound training. In light of the considerable heterogeneity of ultrasound curricula in medical studies worldwide, this review presents basic principles of modern medical student ultrasound education and advocates for the establishment of an ultrasound core curriculum embedded both horizontally and vertically in medical studies.

A Modified Corona Score Using Lung Ultrasound to Identify COVID-19 Patients.

Background: COVID-19 continues to circulate around the world with multiple different strains being active at once. While diagnosis with antigen and molecular testing is more readily available, there is still room for alternative methods of diagnosis, particularly in out-of-hospital settings, e.g.

A Case Report of Radial Artery Pseudoaneurysm After Repeated Radial Puncture for Arterial Blood Gas.

Arterial blood gas, with subsequent radial arterial puncture as a simple access point, comprises a ubiquitous medical procedure in the diagnostic workup of patients admitted to the emergency department with dyspnea. Despite being a relatively safe and technically straightforward procedure, due to its considerable use, it is of vital importance to be able to promptly recognize its potential complications. We present the case of a 96-year-old female patient admitted to the emergency department with dyspnea and cough who underwent left radial arterial puncture for arterial blood gas.

Bedside Ultrasound to Identify and Predict Severity of Dysphagia Following Ischemic Stroke: Human Versus Artificial Intelligence.

Objective: Dysphagia is a significant ischemic stroke complication that can lead to aspiration. Identification of at-risk patients can be logistically difficult and costly. Researchers investigated whether quantitative ultrasound assessment of hyoid bone movement during induced swallowing would predict failure of videofluoroscopy (VFS) or fiberoptic endoscopic evaluation of swallowing (FEES), as determined by a penetration-aspiration scale (PAS) score.

The use of simulation in medical ultrasound: Current perspectives on applications and practical implementation (WFUMB state-of-the-art paper).

Simulation has been shown to improve clinical learning outcomes, speed up the learning process, and improve trainee confidence, while taking the pressure off initial face-to-face patient clinical areas. The second part of The World Federation for Ultrasound in Medicine and Biology state-of-the-art paper on the use of simulators provides a general approach on the practical implementation. The importance of needs assessment before developing a simulation-based training program is outlined.

The ultrasound use of simulators, current view, and perspectives: Requirements and technical aspects (WFUMB state of the art paper).

Simulation has been shown to improve clinical learning outcomes, speed up the learning process and improve learner confidence, whilst initially taking pressure off busy clinical lists. The World Federation for Ultrasound in Medicine and Biology (WFUMB) state of the art paper on the use of simulators in ultrasound education introduces ultrasound simulation, its advantages and challenges. It describes different simulator types, including low and high-fidelity simulators, the requirements and technical aspects of simulators, followed by the clinical applications of ultrasound simulation.

International consensus conference recommendations on ultrasound education for undergraduate medical students.

Objectives: The purpose of this study is to provide expert consensus recommendations to establish a global ultrasound curriculum for undergraduate medical students.

Methods: 64 multi-disciplinary ultrasound experts from 16 countries, 50 multi-disciplinary ultrasound consultants, and 21 medical students and residents contributed to these recommendations. A modified Delphi consensus method was used that included a systematic literature search, evaluation of the quality of literature by the GRADE system, and the RAND appropriateness method for panel judgment and consensus decisions.

Machine learning algorithm using publicly available echo database for simplified "visual estimation" of left ventricular ejection fraction.

Background: Left ventricular ejection fraction calculation automation typically requires complex algorithms and is dependent of optimal visualization and tracing of endocardial borders. This significantly limits usability in bedside clinical applications, where ultrasound automation is needed most.

Aim: To create a simple deep learning (DL) regression-type algorithm to visually estimate left ventricular (LV) ejection fraction (EF) from a public database of actual patient echo examinations and compare results to echocardiography laboratory EF calculations.

Tele-ultrasound in the Era of COVID-19: A Practical Guide.

Telemedicine has evolved over the past 50 years, with video consultations and telehealth (TH) mobile apps that are now widely used to support care in the management of chronic conditions, but are infrequently used in acute conditions such as emergencies. In the wake of the COVID-19 pandemic, demand is growing for video consultations as they minimize health provider-patient interactions and thereby the risk of infection. Advanced applications such as tele-ultrasound (TUS) have not yet gained a foothold despite their achieving technical maturity and the availability of software from numerous companies for TUS for their respective portable ultrasound devices.

WFUMB Technological Review: How to Perform Contrast-Enhanced Ultrasound of the Lung.

The use of ultrasound has revolutionized the evaluation of pulmonary complaints and pathology. Historically, most lung ultrasound uses described are limited to B-mode, M-mode and occasionally color Doppler. However, the use of contrast can significantly expand the diagnostic capabilities of lung ultrasound.

Early Lung Ultrasound Findings in Patients With COVID-19 Pneumonia: A Retrospective Multicenter Study of 479 Patients.

Objectives: Lung ultrasound (LUS) holds the promise of an accurate, radiation-free, and affordable diagnostic and monitoring tool in coronavirus disease 2019 (COVID-19) pneumonia. We sought to evaluate the usefulness of LUS in the diagnosis of patients with respiratory distress and suspicion of interstitial severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia, in comparison to other imaging modalities.

Methods: This was a multicenter, retrospective study.

Making Artificial Intelligence Lemonade Out of Data Lemons: Adaptation of a Public Apical Echo Database for Creation of a Subxiphoid Visual Estimation Automatic Ejection Fraction Machine Learning Algorithm.

Objectives: A paucity of point-of-care ultrasound (POCUS) databases limits machine learning (ML). Assess feasibility of training ML algorithms to visually estimate left ventricular ejection fraction (EF) from a subxiphoid (SX) window using only apical 4-chamber (A4C) images.

Methods: Researchers used a long-short-term-memory algorithm for image analysis.

Ultrasonography on the non-living. Current approaches.

The vast majority of clinicians associate diagnostic ultrasound with a tool that is designed for the living patient. However, it is of course possible to apply this imaging technology to evaluate the recently deceased patient for postmortem diagnosis, or even just examine postmortem tissue. We describe several cases in which ultrasound-enabled providers obtain answers in postmortem examinations and discuss potential future strategies and applications.

Managing Incidental Findings Reported by Medical, Sonography and Other Students Performing Educational Ultrasound Examinations.

The evolution of ultrasound imaging into a key technology for diagnostic practice has resulted in its incorporation into the education of medical students worldwide. Although the introduction of ultrasound into medical schools' curricula is relatively recent, training of sonographers and other ultrasound users is mature. Ultrasound is being used in a variety of learning environments and clinical settings, from courses in anatomy and physiology to clinical rotations where medical and other students may scan healthy volunteers or patients, sometimes with little to no supervision.

Diagnostic Imaging in Newborns, Children and Adolescents Infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): Is There a Realistic Alternative to Lung High-Resolution Computed Tomography (HRCT) and Chest X-Rays? A Systematic Review of the Literature.

Chest computed tomography has been frequently used to evaluate patients with potential coronavirus disease 2019 (COVID-19) infection. However, this may be particularly risky for pediatric patients owing to high doses of ionizing radiation. We sought to evaluate COVID-19 imaging options in pediatric patients based on the published literature.

Deep Learning Pitfall: Impact of Novel Ultrasound Equipment Introduction on Algorithm Performance and the Realities of Domain Adaptation.

Objectives: To test deep learning (DL) algorithm performance repercussions by introducing novel ultrasound equipment into a clinical setting.

Methods: Researchers introduced prospectively obtained inferior vena cava (IVC) videos from a similar patient population using novel ultrasound equipment to challenge a previously validated DL algorithm (trained on a common point of care ultrasound [POCUS] machine) to assess IVC collapse. Twenty-one new videos were obtained for each novel ultrasound machine.