Scientific and technological innovations have changed the nature of service delivery across various sectors around the globe. In this regard, the medical sector is not an exception at all.
In this informative article, we have considered the preliminary concept of Artificial Intelligence. We have illustrated the roles which AI is playing in the contemporary medical sector. Furthermore, we have focused on some revolutionary AI trends that are shaping the medical sector worldwide.
1/3rd of the healthcare practitioners across the globe are already incorporating Artificial Intelligence in their practices. With the rapid advancement of technology, HealthITAn lyrics have come into being. It involves in-depth exploration of several actionable insights collected from Electronic Health Records (EHR)
What Is Artificial Intelligence?
Artificial Intelligence is a form of super-advanced technology originally based on the concept of human intelligence. The primary goal was to make machines behave with intellect just like humans. The application of AI entailed teaching robots to respond and learn intelligently according to specific command inputs.
It Is evident that modern AI is linked to other advanced technological ideas, for instance, machine learning (ML). The ML algorithms give allowance to the machines for magnifying their functions. The rationale behind this is that the machines encounter complex algorithms.
Additionally, Deep learning and Neural networks are two other essential pillars of Artificial Intelligence.Deep learning makes these machines capable of taking actions on the basis of previous data and current trends. Moreover, neural networks lie with the coordinative functions of different AI tools.
How Artificial Intelligence Is Facilitating The Medical Sector?
Despite being at its Infant stage in the medical sector, Artificial intelligence is growing aggressively. In a wide range of healthcare aspects, its footprints can be found nowadays. In addition to hospitals, AI is being used in health insurance firms as well as medical research.
Below are explained the major contributions of AI in the healthcare sector worldwide:
1. Diagnosis
AI can precisely detect some most critical health complexities like diabetes. Additionally, it is able to augment therapeutics and diagnostics in multiple fields including neurology, oncology and endocrinology. In the medical sector, this is an additional footstep.
2. Treatment Plans
Drug interaction is the primary constituent of developing treatment plans. Often it becomes riskier for people taking multiple other medications. Machine learning algorithms can extract specific information about drugs. Therefore, AI is used to reduce the struggle of drug intake.
3. Health Monitoring
Artificial Intelligence (AI), is also successful in terms of fault diagnosis and health monitoring or condition monitoring. These tools are applied for routine health maintenance. Nevertheless, the implementation of AI in health monitoring is still not popular.
4. Data Storage
The Intelligent decision support system (IDSS) generates efficient results with respect to medical data storage. By assimilating the ideas of deep learning, AI algorithms, and neural networks, numerous healthcare organizations are managing big data storage.
5. Managing Medical Appointments
Few of the leading global healthcare organizations are managing patients’ appointments by automatically allotting individual token numbers. The estimated waiting time also remains mentioned along with the tokens. This is achieved by using AI methodologies which ultimately simplify appointment management.
AI Trends That Are Revolutionizing Modern Healthcare
In many ways, Artificial Intelligence is becoming an inevitable part of the medical sector. The healthcare industry is earning substantial profits by aligning the tools and techniques of AI in its day-to-day operations.
The healthcare AI projects in 2016 attracted the highest amount of investments in the global economy. Needless to mention that COVID-19 has encouraged the health sectors to adopt AI methods and big data solutions. Some crucial trends in AI-based medical care are elucidated below:
1. Electronic Health Records (EHRs)
EHRs are digital; records of the diagnoses, health journey and medical history of the patients. Fast Healthcare Interoperability Resources /(FHIR) is the gateway of AI and a leading medical record-keeping protocol. The hospitals and private practitioners are generating a huge amount of patient data accurately by adopting FHIR.
Companies can extract rich insights from these datasets easily. The medical providers therefore will be filled with error-free health information.
2. Telemedicine
By implying Machine learning-based models, medical firms are developing integrated care pathways. These are almost similar to the treatment of hospitals, however, the patients can receive it while staying at home. The AI Chatbot is one of the most progressive inventions that enhance the standards of medical guidance.
This approach has shown its highest benefits in the pandemic situation. Patients have received treatment plans virtually through remote-medicine technologies.
3. Diagnosis Prediction
This area comprises ML models for predicting a disease at its -pre-manifestation stage. In this process, the models are trained with larger volumes of labeled data. The models then detect the relationships between the disease and treatment strategies.
Conclusion
To conclude, Artificial Intelligence is positioned to transform the medical sector. The magnitude of influence that AI can have is mostly concentrated along 3 key trends: EHR, telemedicine and Diagnosis Prediction. The roles of AI in patient communication and identifying vulnerable conditions are also immense in all respects
