The necessity, technology, process, service, and ergonomics of the clinical remote massive public education, primary, secondary and tertiary breast cancer prevention upon innovative networks for specialists and citizens in the context of the clinical prevention operations of the tele-medicine and cloud technology based novel mobile clinical unit (MCU) called "Macedonia" has been studied, tried and standardized in the program of Excellence 2014-16. It is analyzed the clinical prevention operability, maneuverability and reliability of the above mentioned technology and method empowered with cognitive ergonomics of AI and a robotic framework the "Charicleia" Rb integrated with Prometheus I (pn 1008239) digital medical device all integrated with (MCU) in the tenth and the eleventh clinical diseases prevention action in Promyrion village of the Municipality of South Pelion Mountain and in the Parish of Agioi Anargyroi of Volos on 05-06.06 and in Demene village of Municipality of Aisonia on 07.07.2020 for remote clinical remote massive public education, primary, secondary and tertiary breast cancer prevention. Ergonomic Integration of (MCU) operations enriched with AI and Big Data analytics and Robotics may optimize: (1) breast cancer prevention status, (2) quality of healthcare especially in developing countries.
Aim: To search feasibility and reliability of Telemedicine Systems (TS) in the remote multidisciplinary oncology conference for decision making and treatment of liver lesions. Material and Methods: By an experimental TS, twenty six (n=26) specialists based on a series of five (N=5) simulated remote image examinations, assessed sensitivity-specificity of the remote examination of the Liver (L) for neoplastic diseases and damages (Virtual Examination=VE). Results: Analysis showed injuries (sensitivity=96%), injuries of the capsula (sensitivity=91.7%), hematomas (sensitivity=91,7%), non-neoplastic diseases (specificity=100%), neoplastic diseases (sensitivity=100%). Conclusion: The VE of the (L) in combination with high-tech visualization and multimedia and the remote participation of liver surgical oncology, oncology, radiology, pathology and cytology experts composes a feasible and reliable e-Multidisciplinary Oncologic Conference for a Personalized and Optimum Decision Making and Treatment in Liver Cancer.
Aim: Feasibility-reliability control of Telemedicine Systems (TS) integrated with Multimedia Systems (MS) and Artificial intelligence (AI) for remote e-Multidisciplinary Oncology Conference in Breast Cancer. Material and Methods: Forty (n1=40) patients suffering from breast surgical oncology malignant (n2=32) and non-malignant (n3=8) diseases classified to seven categories: Nipple Discharge, Dominant Breast Mass, Occult Breast Lesion, Early Breast Carcinoma, Advanced Breast Carcinoma, Recurrent Breast Carcinoma) and treated clinically with the standard diagnostic (Mammography, US, MRI, Cytology, Pathology, BRCA1/2 Mutation Predisposition and Breast Cancer Risk Analysis) surgical, auxiliary therapeutic methods. Then clinical decisions compared to those proposed remotely by the virtual AI supported e-Oncology Conference for each patient. Results: In four (n4=4) out of forty patients (TS, MS and AI) supported decision making and surgical treatment proposal including postoperative Radiotherapy proposal was not as clear as expected. Non-output answer for non-malignant breast pathologies (n3=8) was accurately indicated by (MS and AI). Mean accuracy of (TS, MS and AI) for: 1.Surgical Operative Planning including Rad=94.1%, 2.Chem=96.8%, 3.Horm=96.7% [In 95%, (Confidence interval: 85–99%)]. Conclusion: High feasibility-reliability of the virtual AI supported e-Multidisciplinary Oncology Conference for remote decision making and surgical planning and for optimum outcomes in Breast Cancer treatment makes it a clinical necessity especially for the periphery of Hellas.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.