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Artificial Intelligence integration in health Analysis

In recent times, artificial intelligence has taken the field of healthcare by storm with its precise diagnostic skills in deploying more detailed, resourceful, and impactful interventions in patient’s care. There has been talks of AI doctors ousting human physicians in the future, this is highly unlikely but what would rather play out is AI doctors providing quality help to assist physicians in making better clinical decisions or even take charge of some decision in certain critical healthcare fields like radiology.

Recent success recorded by AI in healthcare is as a result of increasing availability of healthcare data and swift development of big data analytic techniques. Hidden information present in huge healthcare data can be uncovered through powerful AI techniques steered by appropriate clinical questions. In deploying artificial intelligence in healthcare applications, the model needs to be trained with data created from clinical activities such as diagnosis, screening, and several other treatment activities. The model learns different features present in the dataset to form a quality representation of the subject matter. Artificial intelligence-based healthcare system offers varieties of advantage over conventional medical analytics and medical decision-making methods. AI-based learning medical algorithms can become more accurate as they interact with more training data, thereby permitting human physicians to access unparalleled insights into treatment variability, care procedures, diagnostics and patient results. In a case of patient’s record having hundreds or thousands of interrelated laboratory results accrue over years, humans are not optimally wired to handle such a complex datasets. With the help of artificial intelligence, this complex dataset can be analyzed and quality inference will be drawn based on information retrieved from the dataset. It has been proven that AI imaging tools are capable of screening chest X-rays to detect tuberculosis signs and also adjudged to have achieved a very accuracy comparable to humans. This competency could be deployed through a mobile application to wage-earners in low-resource areas thereby plummeting the need for a skilled onsite radiologist.

Influence of VR on healthcare industry in making deep and predictable analysis

Virtual reality (VR) is a computer-assisted technology capable of creating a simulated environment practically. Over times, growing expenses in healthcare industry and the necessity of innovative technologies for the development of unique diagnostics and treatments pushed for the need of integrating VR technology in the healthcare industry. This technology can be combined with current technologies such as X-ray or magnetic resonance imaging (MRI) systems to gather all the required information in performing improved and precise surgeries. A recently circulated market intelligence article written by BIS research projected the market for augmented reality and virtual reality in healthcare to reach $11.14 billion by 2025. The introduction of VR technology in healthcare service has positively pull off the apprehensions related to simulation-based training system. The emergence of this technology has further hasten the development and deployment of a more robust and secure systems and prescribed modified data for medical dealings. This innovative technology has enabled medical experts to have firsthand assessment of images structures devoid of intrusive methods, thereby making diagnostics an easy process for patients. Presently, VR technology in healthcare has been employed in drug store administrators, medical trials, therapeutics and patient understanding.

Deploying Artificial Intelligence (AI) and Virtual Reality (VR) in battling and creating new vaccines for COVID-19

In the midst of this present global healthcare emergency, the medical sector is working vigorously in unravelling new technologies to screen, control and if possible create vaccines to curtail and end the spread of COVID-19 (Coronavirus). An innovative technology like artificial intelligence is indisputably capable of tracking infection spread, recognizes at-risk patients, and is useful in curtailing this disease gradually. This technology has the capability in anticipating death through proper analysis of previous patient’s data, and it is also capable of serving as evidence-based medical tool aimed at improving the treatment plans and give a report of the outcomes of COVID-19 patient. Artificial intelligence can swiftly examine irregular signs, cautions, and therefore restrain the medical authorities and the patients. This technology is useful in accurate analysis of medical imaging of infected cases with the aid of advanced devices like computed tomography (CT), Magnetic resonance imaging (MRI) and others. Several research work has been embarked on by different institute in searching for a COVID-19 vaccine, as at Monday January 11, 2021 over 90 million coronavirus cases have been reported and over 1.9 million deaths have also been recorded worldwide. Recently, Pfizer-BioNTech vaccine was developed to stop this deadly virus and is recommended for people aged 16 years and older. State-of-art technologies such as virtual reality (VR) and artificial intelligence (AI) can also be employed to fast-track Coronavirus (COVID-19) vaccine development globally.

It was reported that some group of scientist from Bristol University have presented a novel virtual reality solution that could support the development of drugs to battle COVID-19. This virtual reality solution is centered on SARS-CoV-2 enzyme which is seen as the key protease and an auspicious element in the quest for new treatments. In battling COVID-19, molecules that inhibit key protease from working is also capable of stopping the virus from developing which is very crucial in combatting the virus. Researchers from Bristol School of Chemistry opined that virtual reality tools can perfect the working of viral proteins and inhibitors. Also, researchers are very confident in this powerful innovative technology to fathom how enzymes works and proffer prospective drug leads. This team of scholars have developed a virtual framework for simulating molecular dynamics, an open-source software called Narupa was deployed. This solutions employed an easy-to-access virtual reality equipment, a 3D model of the coronavirus (COVID) Mpro was built and used virtual reality replication to access it and envisage the bounding of enzyme with molecules to have an atomic point of view. This effort was strongly considered as one of many innovative technology underway to ascertain drug leads to combat COVID-19. Also, this is a great resource capable of permitting virtual partnership among drug innovation community. Ongoing VR computational modelling has indicated how drugs bind to the SARS-CoV-2 protein has been vital in progressing the fight against this deadly virus. The virtual technology from this university is seen as a giant step towards ending coronavirus (COVID-19) pandemic as soon as possible.

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