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PALM Suites

Anatomy

This large collection of PALMs trains recognition of human anatomic structures, divided according to anatomic regions and systems. The images are collections of views from Primal Pictures’ 3D Real-time content, accessed via the Anatomy.TV website and are grouped according to the division of regions on that site. These Anatomy PALMs can be used either as stand-alone products or as learning and assessment accompaniments to material on the Anatomy.TV site.

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Cardiology

This collection includes PALMs for training interpretation of clinical tests related to diagnosing cardiac abnormalities. Examples of such tests are blood pressure determination, 12-lead ECG, bedside cardiac ultrasound, and transesophageal echocardiography.

  • Blood Pressure

    Determine systolic and diastolic blood pressures from sphygmomanometer readings and auscultation

  • ECG Morphology

    Consists of two versions:

    1. ECG Morphology and Rates trains interpretation of 12 conditions that change 12-lead ECG morphology along with 3 rate classifications: bradycardia, tachycardia, and normal sinus rhythm
    2. ECG Morphology trains interpretation of 13 conditions that change 12-lead ECG morphology; 5 answer choices with one option always being “normal”

  • ECG Arrhythmias

    This PALM is multiple choice (5 answer choices with one of them always being "Normal") and consists of the following diagnoses:

    • Atrial Fibrillation (AFib)
    • Atrial Flutter (AFlut)
    • First-degree Atrioventricular Block (AVB1)
    • Second-degree Atrioventricular Block (AVB2) including 2:1 Block and types I (Wenckenbach) and II.
    • Third-degree Atrioventricular Block (AVB3)
    • Sinus Bradycardia
    • Sinus Tachycardia
    • Normal
  • Cardiac Ultrasound Windows

    Use videoclips to Identify six different bedside cardiac ultrasound views: Apical, Parasternal long, Parasternal short – aortic, Parasternal short – mitral, Parasternal short – papillary, Subxyphoid

  • Cardiac Ultrasound Anatomy

    Identify anatomical features in normal bedside cardiac ultrasound images

  • Cardiac Ultrasound Diagnosis

    Identify normal and abnormal findings based on bedside cardiac ultrasound video clips using different ultrasound views for the following areas of diagnosis:

    • Cardiac Ultrasound: Ventricular Dysfunction
    • Cardiac Ultrasound: Valve Regurgitation and Prolapse
    • Cardiac Ultrasound: Chamber Dilation
    • Cardiac Ultrasound: Endocarditis, Stenosis/Sclerosis, PCE
  • Transesophageal Echocardiography

    Transesophageal cardiac ultrasound for identifying normal and abnormal findings in three different ultrasound views

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Dermatology Free

This collection trains the vocabulary for describing skin lesion morphologies, configurations and distributions as well as identification and discrimination of common dermatologic disorders. PALMs for mixed skin types as well as those specific to dark skin are included.

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Histopathology

This collection trains users to distinguish among the basic pathologic processes of cell & tissue injury/repair, acute inflammation, chronic inflammation, and neoplasia as well as normal histology.

  • Histopathology Abnormal vs. Normal

    Distinguish normal from abnormal processes in side-by-side high- and low-power skin histology images.

  • Histopathology Processes

    Distinguish cell & tissue injury/repair, acute inflammation, chronic inflammation, neoplasia, and normal processes in high- and low-power skin histology images

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Obstetrics & Gynecology

This collection uses PALMs to train interpretation of common clinical tests and measurements made during gynecologic examinations, pregnancy and childbirth. Examples are interpretation of fetal heart rate patterns and colposcopy images.

  • Fetal Heart Rate

    Classify fetal heart rate tracings into categories I, II, or III; includes training independent recognition of category II tracings with “moderate” variability vs with absent or minimal variability.

  • Colposcopy

    Classify cervical colposcopy images into one of the following categories:

    • Normal
    • LSIL
    • HSIL
    • Malignancy
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Ophthalmology

This collection uses PALMs to train recognition of basic pathologies of the eye and its associated tissues. An example is the discrimination of optic nerve abnormalities.

  • Optic Nerve Diagnosis

    Classify fundoscopic images of optic nerves as myopic, glaucomatous, pale, swollen, or normal.

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Radiology

This collection aims to train identification of normal anatomy based on CTs and plane field xrays as well as training interpretation of pathologies present in these images.

  • Thoracic X-ray Anatomy

    Identify normal PA or lateral thoracic anatomy in plain film x-ray images

    1. A multiple-choice version allows the trainee to select from 5 answer choices
    2. An image-mapped (-im) version asks the trainee to click on specific anatomic structures

  • Thoracic CT Anatomy (with and without contrast)

    • Identify normal thoracic anatomic structures at 8 levels of axial CT images with contrast
      1. A multiple-choice version allows the trainee to select from 4 answer choices
      2. An image-mapped (-im) version asks the trainee to click on specific anatomic structures
    • Identify normal thoracic anatomic structures at 6 levels of axial CT images without contrast
      1. A multiple-choice version allows the trainee to select from 4 answer choices
      2. An image-mapped (-im) version asks the trainee to click on specific anatomic structures

  • CT Pulmonary Angiography (in-progress)

    Locate pulmonary emboli using CT pulmonary angiography

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Ultrasound

This collection focuses on training identification of ultrasound views (planes) and normal anatomical structures along with discriminating pathologies present in ultrasound images and video clips.

  • Cardiac Ultrasound Windows

    Use videoclips to identify six different bedside cardiac ultrasound views: Apical, Parasternal long, Parasternal short – aortic, Parasternal short – mitral, Parasternal short – papillary, Subxyphoid

  • Cardiac Ultrasound Anatomy

    Identify anatomical features in normal bedside cardiac ultrasound images

  • Cardiac Ultrasound Diagnosis
    • Cardiac Ultrasound: Ventricular Dysfunction
    • Cardiac Ultrasound: Valve Regurgitation and Prolapse
    • Cardiac Ultrasound: Chamber Dilation
    • Cardiac Ultrasound: Endocarditis, Stenosis/Sclerosis, PCE
  • eFAST Ultrasound

    To be added soon.

  • Transesophageal Echocardiography

    Identify normal and abnormal findings based on transesophageal cardiac ultrasound videoclips using three different ultrasound views: Mid-esophageal long axis, Transgastric mid-papillary short axis, Mid-esophageal 4-chamber

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What People Say

"This looks fantastic! This is absolutely what I am looking for."
— AF, MD, Columbia University College of Physicians and Surgeons

"I’ve just started working on the ECG module... I think it’s a great way to learn ECG patterns." WB, MD, Jump Trading Simulation & Education Center, UICOMP
"I have been exposed to 3 or 4 ECG software programs, and the PALMs software had the cleanest interface, and presents efficient learning based on sound conceptual framework. I think our medicine residents would certainly benefit from it." JW, MD, Chief Resident, Ronald Reagan - UCLA Medical Center
"It's [the ECG PALM] a great tool, and reinforces pattern recognition of abnormal ECG characteristics, as well as STEMIs ... You will definitely love it!" MS, MD, Chief Resident, Harbor-UCLA Medical Center
"These modules were tremendously helpful for me. I found it very helpful to see multiple presentations of everything in order to get a broad scope and intuition for what I was learning. Additionally, the format of the program was fun and interactive, in a way that kept me engaged while pushing me to improve." DA, MS2, David Geffen School of Medicine
"I found the module to be extremely helpful. It kept me engaged while I was learning the [dermatology] morphologies rather than staring passively at pictures. I wish more of these types of modules could be incorporated into the curriculum." CB, MS2, David Geffen School of Medicine
"The game-type set up made the exercise fun." SS, MS2, David Geffen School of Medicine
"It definitely forced me to look at the 'big picture' and try to recognize [histopathologic] patterns rather than take my time and try to locate individual cells to deduce the pathology." JA, MS1, David Geffen School of Medicine
"The repetition drilled it in my head--it provided great practice. Viewing the pathologies in different forms allowed me to see the patterns." AG, MS1, David Geffen School of Medicine
"I found the number of slides useful because there is a huge amount of variation with the same condition so seeing one or two examples in class just isn't enough." DA, MS1, David Geffen School of Medicine
"This exercise really helped us learn how to recognize the different cellular pathologies (or normal) when compared to each other. Also it is very useful in defining what is normal since normal can be different." MB, MS1, David Geffen School of Medicine
"I think it was much easier to learn histopathology when it was shown with contrasting slides. It was also easier to learn by looking at a LOT of images and seeing patterns instead of talking about a small handful -- I found that I learned more in the module than in most classes." AL, MS1, David Geffen School of Medicine