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