MedicalResearch.com Interview with: Andreea Udrea, PhD
Associate Professor
University Politehnica of Bucharest
MedicalResearch.com: What is the background for this study?
The skin cancer incidence rate is increasing worldwide. Early diagnosis and prevention can reduce
morbidity and are also linked to decreased healthcare costs. During the last years, efforts have been
made in developing smartphone applications for skin lesion risk assessment to be used by laypersons.
In parallel, as machine learning (ML) is on the rise, and medical image databases are increasing in size, a
series of algorithms have been developed and compared in clinical studies to dermatologists for skin
cancer diagnosis. The accuracy of the algorithms and experts were comparable.
One drawback of these clinical studies is that they use images acquired by professionals in standardized
conditions. So, there is little knowledge of what the accuracy will be when including an ML algorithm in
an app and testing it in a non-clinical setup where the image quality may be lower, and the variability in
image taking scenarios is higher as images are acquired by non-professionals using the smartphone
camera. This study is one of the first that evaluates the accuracy of an app (SkinVision) when being used
for risk assessment of skin lesions in the general population.
(more…)
MedicalResearch.com Interview with:
Michael J. Mahan PhD
Professor, Microbiology and Molecular Genetics
Dept of Molecular, Cellular, and Developmental Biology
University of California, Santa Barbara, CA
MedicalResearch.com: What is the background for this study? What are the main findings?Response: Urinary tract infections (UTIs) cause nearly 10 million doctor visits each year in the United States. Women are much more likely to have a UTI than men, and are particularly harmful to pregnant women and can cause miscarriage. Thus, there is a medical need for rapid, low-cost, on-site testing — particularly in resource-limited settings.
We developed a new app that enables a smartphone to identify (ID) bacteria causing UTIs in just one hour — a fraction of the time and cost of clinical diagnostics.
(more…)
MedicalResearch.com Interview with:
Dr. Raymond E. Bertino, MD
airRx lead developer and
Clinical Professor of Radiology and Surgery at UICOMP
MedicalResearch.com: What is the background for the airRX app and study?Response: With increasing air travel, in-flight medical emergencies have increased and physicians on commercial airline flights are routinely asked to volunteer assistance. A study presented this week at the annual meeting of The Society for Academic Emergency Medicine (SAEM) examined physician performance during practice simulations of in-flight medical emergencies with use of a smartphone app, airRx.
In the unique study, cases based on commonly occurring in-flight medical emergencies were portrayed in a mockup of the airline cabin setting. Actors portrayed patients, family members, seat neighbors and flight attendants. Resident physicians in non-emergency specialties were asked to assist as if they were volunteering in actual medical emergencies.
The study utilized airRx, the mobile app developed to help physicians and other medical personnel volunteering during in-flight medical events. The airRx app enables healthcare professionals to access 23 scenarios of the most common medical emergencies, with concise treatment algorithms and reference information to help evaluate and treat the patient.(more…)
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