Jacob L. Jaremko
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View article: A wall tracking method to estimate ejection fraction from the parasternal long axis view in point of care ultrasound
A wall tracking method to estimate ejection fraction from the parasternal long axis view in point of care ultrasound Open
View article: Retuve: Automated multi-modality analysis of hip dysplasia with open source AI
Retuve: Automated multi-modality analysis of hip dysplasia with open source AI Open
View article: Characterizing Shape Variations in Infant Hips Using Statistical Shape Modeling for Ultrasonic Diagnosis of Hip Dysplasia with Graf’s Method
Characterizing Shape Variations in Infant Hips Using Statistical Shape Modeling for Ultrasonic Diagnosis of Hip Dysplasia with Graf’s Method Open
Shape variations in IW-AR outlines can be effectively modeled by using a compact SSM representative of the variations as linear combinations of a few global and local modes. The shape variations and the angle variability by the local modes…
View article: AI Enhances Lung Ultrasound Interpretation Across Clinicians with Varying Expertise Levels
AI Enhances Lung Ultrasound Interpretation Across Clinicians with Varying Expertise Levels Open
Background/Objective: Lung ultrasound (LUS) is a valuable tool for detecting pulmonary conditions, but its accuracy depends on user expertise. This study evaluated whether an artificial intelligence (AI) tool could improve clinician perfor…
View article: AI-Augmented Point of Care Ultrasound in Intensive Care Unit Patients: Can Novices Perform a “Basic Echo” to Estimate Left Ventricular Ejection Fraction in This Acute-Care Setting?
AI-Augmented Point of Care Ultrasound in Intensive Care Unit Patients: Can Novices Perform a “Basic Echo” to Estimate Left Ventricular Ejection Fraction in This Acute-Care Setting? Open
Background: Echocardiography is crucial to understanding cardiac function in the Intensive Care Unit (ICU), often by measuring the left ventricular ejection fraction (LVEF). Traditionally, measures of LVEF are completed as part of a compre…
View article: Overcoming barriers in the use of artificial intelligence in point of care ultrasound
Overcoming barriers in the use of artificial intelligence in point of care ultrasound Open
Point-of-care ultrasound is a portable, low-cost imaging technology focused on answering specific clinical questions in real time. Artificial intelligence amplifies its capabilities by aiding clinicians in the acquisition and interpretatio…
View article: AI-Augmented Point of Care Ultrasound in Intensive Care Unit Patients: Can Novices Perform a “Basic Echo” to Estimate Left Ventricular Ejection Fraction in This Acute-Care Setting?
AI-Augmented Point of Care Ultrasound in Intensive Care Unit Patients: Can Novices Perform a “Basic Echo” to Estimate Left Ventricular Ejection Fraction in This Acute-Care Setting? Open
Background: Echocardiography is crucial to understanding cardiac function in the In-tensive Care Unit (ICU), often by measuring the left ventricular ejection fraction (LVEF). Traditionally measures of LVEF are completed as part of comprehe…
View article: Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss
Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss Open
Lung ultrasound (LUS) is a non-invasive bedside imaging technique for diagnosing pulmonary conditions, especially in critical care settings. A-lines and B-lines are important features in LUS images that help to assess lung health and ident…
View article: Sam2Rad: A segmentation model for medical images with learnable prompts
Sam2Rad: A segmentation model for medical images with learnable prompts Open
The Segment Anything Model and its variants, such as MedSAM, have demonstrated potential for medical image segmentation. However, they heavily rely on high-quality manual prompts, which are both time-consuming and require domain expertise.…
View article: Assessing the effects of immune checkpoint inhibitors on bone utilizing machine learning–assisted opportunistic quantitative computed tomography
Assessing the effects of immune checkpoint inhibitors on bone utilizing machine learning–assisted opportunistic quantitative computed tomography Open
Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone health remains unclear. This study aimed to perform a retrospective cohort study utilizing routine CT scans from patients with melanoma to pe…
View article: Detection of Swallowing Abnormalities in Pediatric Fees Recordings Using Rule-Based and Model-Based Methods
Detection of Swallowing Abnormalities in Pediatric Fees Recordings Using Rule-Based and Model-Based Methods Open
View article: Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review
Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review Open
Objectives To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) ima…
View article: Subchondral Bone Degeneration and Pathology 3-15 Years Following Ankle Sprain Injury in Adolescent Sport
Subchondral Bone Degeneration and Pathology 3-15 Years Following Ankle Sprain Injury in Adolescent Sport Open
Background: Sport-related ankle sprains (SASs) are prevalent in adolescents (ages 10-19), increasing the risk of developing posttraumatic osteoarthritis (PTOA). Although early ankle osteoarthritis (OA) is not well defined, OA eventually in…
View article: Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines
Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines Open
Background/Objective: A-lines and B-lines are key ultrasound markers that differentiate normal from abnormal lung conditions. A-lines are horizontal lines usually seen in normal aerated lungs, while B-lines are linear vertical artifacts as…
View article: Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts Open
Foundation models like the segment anything model require high-quality manual prompts for medical image segmentation, which is time-consuming and requires expertise. SAM and its variants often fail to segment structures in ultrasound (US) …
View article: Assessment of an Artificial Intelligence Tool for Estimating Left Ventricular Ejection Fraction in Echocardiograms from Apical and Parasternal Long-Axis Views
Assessment of an Artificial Intelligence Tool for Estimating Left Ventricular Ejection Fraction in Echocardiograms from Apical and Parasternal Long-Axis Views Open
This work aims to evaluate the performance of a new artificial intelligence tool (ExoAI) to compute the left ventricular ejection fraction (LVEF) in echocardiograms of the apical and parasternal long axis (PLAX) views. We retrospectively g…
View article: Development of international consensus on a standardised image acquisition protocol for diagnostic evaluation of the sacroiliac joints by MRI: an ASAS–SPARTAN collaboration
Development of international consensus on a standardised image acquisition protocol for diagnostic evaluation of the sacroiliac joints by MRI: an ASAS–SPARTAN collaboration Open
A standardised IAP for SIJ MRI for diagnostic ascertainment of sacroiliitis is recommended and should be composed of at least four sequences that include imaging in two planes and optimally visualise inflammation, structural damage and the…
View article: Classification Criteria for Axial Disease in Youth With Juvenile Spondyloarthritis
Classification Criteria for Axial Disease in Youth With Juvenile Spondyloarthritis Open
Objective The goal was to develop and validate classification criteria for axial juvenile spondyloarthritis (SpA; AxJSpA). Methods This international initiative consisted of four phases: (1) item generation, (2) item reduction, (3) criteri…
View article: A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation Open
Conventional deep learning models deal with images one-by-one, requiring costly and time-consuming expert labeling in the field of medical imaging, and domain-specific restriction limits model generalizability. Visual in-context learning (…
View article: MRI-based synthetic CT for assessment of the bony elements of the sacroiliac joints in children
MRI-based synthetic CT for assessment of the bony elements of the sacroiliac joints in children Open
View article: Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity Open
Osteoarthritis (OA) poses a global health challenge, demanding precise diagnostic methods. Current radiographic assessments are time consuming and prone to variability, prompting the need for automated solutions. The existing deep learning…
View article: 2D vs. 3D Ultrasound Diagnosis of Pediatric Supracondylar Fractures
2D vs. 3D Ultrasound Diagnosis of Pediatric Supracondylar Fractures Open
Supracondylar fractures are common injuries in children. Diagnosis typically relies on radiography, which can involve long wait times in the ED, emits ionizing radiation, and can miss non-displaced fractures. Ultrasound (US) has the potent…
View article: Vertebral Body Reshaping after Fractures: An Important Index of Recovery in Glucocorticoid-Treated Children
Vertebral Body Reshaping after Fractures: An Important Index of Recovery in Glucocorticoid-Treated Children Open
Purpose In this 6-year study we identified factors associated with spontaneous vertebral body reshaping in glucocorticoid (GC)-treated children with leukemia, rheumatic disorders, and nephrotic syndrome. Methods Subjects were 79 children (…
View article: Current Role of Conventional Radiography of Sacroiliac Joints in Adults and Juveniles with Suspected Axial Spondyloarthritis: Opinion from the ESSR Arthritis and Pediatric Subcommittees
Current Role of Conventional Radiography of Sacroiliac Joints in Adults and Juveniles with Suspected Axial Spondyloarthritis: Opinion from the ESSR Arthritis and Pediatric Subcommittees Open
This opinion article by the European Society of Musculoskeletal Radiology Arthritis and Pediatric Subcommittees discusses the current use of conventional radiography (CR) of the sacroiliac joints in adults and juveniles with suspected axia…
View article: Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children Open
Supervised deep learning offers great promise to automate analysis of medical images from segmentation to diagnosis. However, their performance highly relies on the quality and quantity of the data annotation. Meanwhile, curating large ann…
View article: 2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence
2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence Open
View article: Risk Factors Associated with Incident Vertebral Fractures in Steroid-treated Males with Duchenne Muscular Dystrophy
Risk Factors Associated with Incident Vertebral Fractures in Steroid-treated Males with Duchenne Muscular Dystrophy Open
Purpose Prevention of fractures is an unmet need in glucocorticoid (GC)-treated Duchenne muscular dystrophy. This study explored factors associated with incident vertebral fractures (VFs) to inform future fracture prevention efforts. Metho…
View article: Patellofemoral joint geometry and osteoarthritis features 3–10 years after knee injury compared with uninjured knees
Patellofemoral joint geometry and osteoarthritis features 3–10 years after knee injury compared with uninjured knees Open
In this cross‐sectional study, we compared patellofemoral geometry in individuals with a youth‐sport‐related intra‐articular knee injury to uninjured individuals, and the association between patellofemoral geometry and magnetic resonance i…
View article: AI aided workflow for hip dysplasia screening using ultrasound in primary care clinics
AI aided workflow for hip dysplasia screening using ultrasound in primary care clinics Open
View article: AB1179 VARIATION OF INTER-RATER RELIABILITY FOR BONE MARROW LESION SCORES IN DIFFERENT REGIONS OF THE KNEE: A STUDY USING KIMRISS
AB1179 VARIATION OF INTER-RATER RELIABILITY FOR BONE MARROW LESION SCORES IN DIFFERENT REGIONS OF THE KNEE: A STUDY USING KIMRISS Open
Background Semi-quantitative magnetic resonance imaging (MRI) scoring is more challenging in some anatomic regions than others. Bone marrow lesion (BML) is an important scoring feature and may be more closely related to clinical outcomes i…