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Medical imaging (such as X-ray and photography) is a commonly used tool in dermatology [54] and the development of deep learning has been strongly tied to image processing. Therefore, there is a natural fit between the dermatology and deep learning. Machine learning learning holds great potential to process these images for better diagnoses. [55]
Medical open network for AI (MONAI) is an open-source, community-supported framework for Deep learning (DL) in healthcare imaging. MONAI provides a collection of domain-optimized implementations of various DL algorithms and utilities specifically designed for medical imaging tasks.
The thrust draws from innovations in sensors, devices, UAVs, networks, optimization, and machine learning for applications in healthcare, manufacturing, transportation, safety, and a range of other contexts that benefit society. Current research focuses on cloud robotics, deep learning, human-centric automation, and bio-inspired robotics. [8]
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Its authors propose that health-care institutions, academic researchers, clinicians, patients and technology companies worldwide should collaborate to build open-source models for health care of which the underlying code and base models are easily accessible and can be fine-tuned freely with own data sets. [10]
The MIT Abdul Latif Jameel Clinic for Machine Learning in Health (commonly, MIT Jameel Clinic; previously, J-Clinic) is a research center at the Massachusetts Institute of Technology (MIT) in the field of artificial intelligence (AI) and health sciences, including disease detection, drug discovery, and the development of medical devices.
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For example, there is a prototype, photonic, quantum memristive device for neuromorphic (quantum-)computers (NC)/artificial neural networks and NC-using quantum materials with some variety of potential neuromorphic computing-related applications, [366] [367] and quantum machine learning is a field with some variety of applications under ...