DiagnosUs vs Radiology Technique Simulator

DiagnosUs is an educational game for medical students, doctors, premed students, other healthcare professionals, and citizen scientists to analyze medical cases, improve their skills, and earn prizes! Participation is open to anyone, regardless of educational background. Players compete against their peers to hone their skills by analyzing cases in our datasets. At the same time, they contribute their knowledge to help advance artificial intelligence research. DiagnosUs is a wonderful supplement for classes, clerkships, and in preparation for exams such as the USMLE® Step 1 & 2 Clinical Knowledge (CK), NBME® exams, MBBS, NCLEX® exams, COMLEX Level 1 & 2, MCAT®, NEET-PG, and many more! The app promotes an engaging, dynamic platform to test anyone’s medical knowledge while simultaneously contributing to the development of crucial machine learning algorithms. Try a wide range of cases in subjects such as radiology, dermatology, USMLE® preparation, MCAT® preparation, NBME® preparation, NCLEX® preparation, ultrasound, neurology, cardiology, ophthalmology, emergency medicine, surgery, internal medicine, pediatrics, orthopedics, family medicine, gastroenterology, pathology, and pulmonology. Utilize the power of DiagnosUs to study interactively! New datasets are added regularly, so players can always keep learning! Learn medicine fast: see a wide range of cases! - Anatomy - Physiology - Auscultation to listen for pulmonary abnormalities - Dermatological images to identify melanoma, basal cell carcinoma, squamous cell carcinoma, psoriasis, dermatitis, and other skin conditions - EEG - EKG / ECG - USMLE® practice questions - MCAT® practice questions - NBME® practice questions - Chest X-rays to look for pneumonia and cancer - Musculoskeletal X-rays - Ultrasound identification problems - Fundus eye images - MRI - Whole Slide Pathology Imagery - Chest CT - Mammograms and much more! The rewards that participants can earn in the app are made possible by our research partners and customers, who are developing artificial intelligence related to image analysis. These research partners and customers subsidize our prizes because our app participants help analyze images from large datasets of our research partners and customers. After participants win rewards, they can tap on the Profile tab and tap on the icon in the top-left corner of the Profile screen. This screen then shows a log of all the participant's rewards, and they can withdraw their rewards to a payment account.

Radiology Tech Simulator for RadTech is a simulator of exams and exposure factors: kVp and mAs for student learning. Through the choice of positioning, chassis size, position of the central ray and radiological exposure factors, you can simulate exams and practice radiographic techniques.