Medical web app prototypes designed by medical doctors and software engineers who understand both worlds at a technical level.
AppKita is a specialized startup that creates cutting-edge web application prototypes for the healthcare sector. Our unique team comprises medical doctors and software engineers, giving us deep expertise in both medicine and technology. We build innovative prototypes for medical professionals, research institutions, medical seminars, and medical students, helping them explore new possibilities at the intersection of healthcare and digital innovation.
Partnership Model: We currently serve select institutions and professionals through closed contracts. For collaboration inquiries, please reach out via email.
Our team includes practicing medical doctors who understand clinical workflows and healthcare challenges.
Software engineers with deep expertise in AI, computer vision, and modern web technologies.
All prototypes are built with research and innovation in mind, pushing boundaries in healthcare technology.
Leveraging machine learning and artificial intelligence to solve complex medical challenges.
Explore our collection of medical and healthcare web application prototypes. Each app demonstrates innovative approaches to clinical challenges and medical education.
AI-powered classifier to detect the presence or absence of intrasellar tumors from medical imaging.
Launch App →Real-time body pose detection prototype for identifying hands up or hands down positions.
Launch App →Training tool for hands up/down detection models using custom datasets.
Launch App →Screening tool for diabetic retinopathy using ConvNet.js technology.
Launch App →Convert DICOM and other medical images into organized grid layouts for analysis and presentation.
Launch App →Interactive exergame that uses body pose detection to encourage physical activity and rehabilitation.
Launch App →Real-time fall detection system using computer vision and pose estimation algorithms.
Launch App →Training application for developing and testing fall detection models.
Launch App →Comprehensive gait analysis tool with timeline visualization for physical therapy and research.
Launch App →Interactive game controlled by specific body poses for rehabilitation and engagement.
Launch App →Step detection system using smartphone attached to walker for gait monitoring.
Launch App →Fun and educational quiz application for physical medicine and rehabilitation topics.
Launch App →Advanced multi-class classification system for different types of intrasellar tumors.
Launch App →Predictive tool for estimating stroke patient in-hospital duration based on clinical parameters.
Launch App →AI-assisted chest X-ray classification tool specifically designed for pediatric cases.
Launch App →Enhanced fall detection system with improved accuracy and real-time monitoring capabilities.
Launch App →Advanced training platform for the Fall Detection 2.0 system.
Launch App →BodyPose visualization wrapper that displays anatomical locations and movement analysis.
Launch App →Audio-based snoring detection tool for sleep study and respiratory monitoring.
Launch App →Batch image cropper for creating 224x224 square images optimized for AI model training.
Launch App →Risk assessment tool for stroke prediction based on patient profile and clinical parameters.
Launch App →Advanced screening tool for diabetic retinopathy using TensorFlow.js.
Launch App →Text-to-speech application for digital therapy and accessibility in healthcare settings.
Launch App →Classify MRI Images into either Low or High Fazekas Score.
Launch App →