Submit a Manuscript to the Journal
Applied Artificial Intelligence
For a Special Issue on
The Rise of Smart Healthcare Using AI and Blockchain
30 December 2022
Special Issue Editor(s)
Dr. Debabrata Samanta,
Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. The Coordinator, IPR Cell, CHRIST (Deemed to be University), Bangalore, India
Dr. Debanjan Konar,
Postdoctoral Researcher (Quantum Machine Learning), CASUS-Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Untermarkt 20, 02826 Görlitz, Germany. Department of Electrical Engineering, IIT Delhi, New Delhi 110016, India
M S Mekala,
Department of Information and Communication Engineering, Yeungnam University as well as RLRC for Autonomous Vehicle Parts and Materials Innovation, Yeungnam University, Gyeongsan, Korea
The Rise of Smart Healthcare Using AI and Blockchain
With the increasing quantity and speed of medical studies, there is indeed a pressing want for effective mining techniques to analyze this information to aid illness detection, offer medical remedies, and enhance the quality of care. Machine learning is a sophisticated computing technology that has already been applied in various domains, including visual identification, computational linguistics, and wellness. Machine learning methods, on either hand, can indeed level of accuracy with a large quantity of information, which is extremely crucial in healthcare since it may often determine whether or not a patient's life could be spared. Within the healthcare industry, blockchain and artificial intelligence technology offer unique advancements.
However, AI can perform complex calculations and evaluate large amounts of patient information fast. Yet, several physicians are wary about utilising AI in healthcare, especially in roles where they may directly impact a patient's well-being, despite AI's tremendous capabilities that have proved that it might perform numerous dynamic and intellectual processes faster than a human. Use of machine-learning algorithms and techniques, or AI, to replicate human thought in the processing, display, and interpretation of complicated healthcare and health facts often referred to as artificial intelligence in healthcare. Healthcare professionals will be more capable of understanding the daily behaviours and requirements of both individuals who serve as a result of AI. They will be capable of giving greater comments, advice, and encouragement for remaining healthy due to this knowledge. Artificial intelligence aids in identification and treatment. A thrombus in the artery, known as cerebral infarction, is responsible for most overall strokes. Quite a few more individuals could obtain prompt treatment caused by a lack of early detection of stroke symptoms. Villar et al. created a gadget that detects motion and predicts strokes promptly. The original detection approach added a step of human action recognition and a stroke onset detection level. When the patient's activity deviates greatly from the usual scenario, a stroke warning is generated and the patient is examined for intervention as quickly as feasible. Enhanced prevention strategies, efficiency improvements, and patient hold times can benefit from faster and more genuine outcomes. AI aids in the streamlining procedures, the automation of activities, quick sharing of data, and the organisation of operations, which all ease medical personnel of the burden of balancing too many jobs. Such devices have limitations in that they rely on human surveillance. While AI can help lower expenses and relieve clinical stress, it could eliminate certain employment.
Supply chain, IoT security for monitoring systems, Smart contracts, Physician health records, Clinical study and drug tracking, and hospital personnel credentials authentication are all applications. Patients have some access to the data thanks to the confidentiality provided by blockchain records, and their information cannot be shared among specialists unless they consent. Patient anonymity can be protected successfully, allowing patients to seek clinical services more discretely. Blockchain is considered suitable for documenting activities with compact fingerprints if clarity and immutability are desired. With their distinctive identities and encrypted message, users may provide third entities access to individual health records in a clear and traceable fashion also on the blockchain. Quality care, data protection, and interoperability concerns are just a few challenges that blockchain in healthcare could solve. One of Blockchains main drawbacks always is data immutability. The ultimate choice to deploy Blockchain technology in the healthcare business is heavily influenced by cost. Installing and maintaining a Blockchain project is complex, so it needs a thorough understanding of the organisation to fulfil the requirements.
Healthcare practitioners will be able to view the patient's health records here on the blockchain, and AI will rely on a range of suggested methods and judgement skills, as well as vast amounts of data. As a result of incorporating the most recent advancements in such techniques, the healthcare team shall increase service quality, lower costs, and democratize medicine. Blockchain makes it possible to store encrypted documents, which AI requires. The implications of blockchains seem endless; nevertheless, real evidence regarding long-term healthcare results based on blockchains driven by AI and IoT is still to be gathered.
• Digital transformation of the healthcare
• Technological trends
• The development of new smart healthcare
• Plugging blockchain technique in existing health care system
• Reaping benefits of AI in early disease detection
• IoT enabled health care equipment
• Integration of Smart Healthcare
• Diagnostic and Curative Healthcare
• Concern and Obstruction in Implementation of Smart Healthcare
• The efficiency of medical assistants in terms of health.
• Enhanced palliative healthcare via AI.
• Health monitoring wearable devices.
• Customized nutritional management.
Special issue title: The Rise of Smart Healthcare Using AI and Blockchain
Type of paper: Research Paper
Article Submission Deadline: 21st December, 2022
Authors Notification Date 11th January, 2023
Revised Papers Due Date 21st March, 2023
Final notification Date 1st April, 2023
View the latest tweets from tandfSTEM