5f4087f89cf71c51 Top 10 AI Use Cases for Healthcare Industry | BLOGGERELITES

Top 10 AI Use Cases for Healthcare Industry

The onset of pandemic and the ever-growing repercussions of it, the malicious coronavirus all in together have created a big scope for one technology in the healthcare industry- Artificial Intelligence or the effervescent AI. Testing the efficacy of COVID-19 vaccines and safety level, tracking the chances of infection or vulnerability of communities to COVID-19, AI has been helping healthcare most innovatively and smartly. However, AI is not a recent invention in this industry.AI in medicine (AIM)has dramatically evolved over the last five decades or so. As per an estimate(Accenture), AI can handle 20% of unmet demands by the year 2026 as the technology will advance to a greater level. In this blog, we will discuss the top 10 AI-based use cases for the healthcare industry.

1. Automated or Assisted Diagnosis & Prescription

AI-powered chatbots help inpatient care. Chatbots do help doctors in conducting a diagnosis of patients as well as help patients in self-health assessment or self-diagnosis. For example, Babylon health gives some relevant triage, health information once the patient provides input explaining symptoms. Being a chatbot, it does not give a diagnosis which it clearly states to the patients asking for one. This helps in minimizing any legal liabilities. However, AI technology is looking forward to bring out chatbots who can provide even diagnosis by improving their accuracy level.

2. Auditing Prescription

Artificial Intelligence (AI) audit systems do help in minimizing prescription- errors if any.

Normally, types of prescription errors that patients make are

  • Not aware of expiry dates
  • Don’t know the correct dosage
  • Usage rate & timing in a day to take drugs, etc.

All the above errors are hugely reduced by AI technology. For instance, AI-based mobile technology, which allows digital identification of medications facilitating the elimination of medication errors. Under this technology, patients can scan their medicines using their mobile phones. AI algorithms and advanced computer vision automatically do the identification of medications and immediately, too. They compare these medications with the users’ prescriptions.AI technologies such as Pill Recognition technology, image-guided medication management, etc. are empowering patients towards taking better control over their respective medications.

3. Managing Pregnancy

AI-powered digital tools monitor mother and fetus, both. This allows a smooth system involving the doctor, mother, and child and the entire clinic or hospital. This enables early diagnosis as well as reducing the mother’s worries! AI provides recommendations and adequate guidance to caregivers, as well as the doctors who are treating early symptoms in pregnant women. Based on the diagnosis, doctors recommend expecting mothers a change in lifestyle that’d help in overcoming varied challenges during as well as after their pregnancy.

4. Prioritization & Triage on a Real-Time basis

AI-powered Prescriptive-Analytics are used for real-time case prioritization and related triage. These analytics work on patients’ data and records enabling accuracy-based prioritization, triage.

  • Jvion- The AI-based cognitive-clinical- success- machine very precisely, comprehensively, and minutely foresees any sort of probable risks. Thereafter, it delivers recommendations, suggested actions that lead to improved outcomes.
  • Enlitic- The AI-based patient-triaging- solutions are another powerful solution for the given healthcare task. These solutions do the scanning of varied incoming cases for multiple, different clinical findings, determining their priorities and accordingly route them, or direct them, to the most appropriate doctor in the present network.
  • Wellframe- The AI-powered ‘Wellframe’ does the flipping of the script and directly on patients’ mobile phones, the software delivers interactive care programs that contain personalized clinical modules for each patient.

5. Patients’ Personalized Care & Medications

AI-based healthcare software hep in finding the best treatment plans for patients. The very software does the processing of patients’ data, and accurately analyzes them, and according to the result, customized treatment plans are produced This helps in effective healthcare for patients and reducing costs for stakeholders concerned.

  • Oncora- Medicals- The AI-based software is structured such a way that does accurate analysis of patients’ data and help the healthcare fraternities to come out with personalized treatment plan.
  • GNS- Healthcare- Healthcare companies use AI-powered Machine-Learning(ML) algorithms to match patients with a varied lot of treatments available, and finally sort out the best suitable treatment for them.

6. Data-Analytics of Patients

AI-based data analytics tools analyze patients’ data, even the third-party data, for discovering varied insights that can help in making appropriate decisions and timely actions. It provides appropriate suggestions for future actions. AI-based analytics tools allow healthcare institutions like hospitals, clinics, associated companies, to get accurate information and analysis about patients’ health, all thanks to the AI analyzing patients’ clinical data, as well as generating deeper insights into the same. Further reduction of costs, promoting the efficient use of resources, and managing people’s health in an easy manner is the power of AI in the healthcare domain.

7. AI-Surgical-Robots

AI-surgical robots assist in surgeries that require repetitive procedures and constant movement. These kinds of surgeries adopt AI technology in the form of collaborative robots. All the medical procedures that involve similar, repetitive movement-based tasks are delegated to these robots who never get tired! AI can also identify specific patterns within the given surgical procedures that help in improving best practices involving surgical robots ‘ control over accuracy level.

8. AI for an Early-Diagnosis

For example, Ezra. Several AI-based tools analyze patients’ chronic health conditions. They leverage varied lab- data, as well as several other medical data that lead to an early diagnosis of a patient’s health. As for Ezra, it is an AI-based tool that does a full-body MRI scanning thereby helping clinicians to detect cancer early (in the nascent stage itself). This way, treatment can start in time, saving the patient’s life!

9. Insights on Medical-Imaging

AI-powered medical imaging- insights help in analyzing and transforming images facilitating timely treatment of patients. For instance, SkinVision is powered with AI capabilities that enable a person to recognize skin cancer early just by clicking photos of his skin with his phone and showing images to the doctor on time.

Even in diagnosing COVID-19 cases, AI-enabled medical imaging is popularly used that helps to identify patients requiring ventilator- support.

10. Drug-Discovery & Gene-Analysis

AI-powered tools facilitate the findings of new medicines and drugs which are based on input out of previous data, as well as medical intelligence. For instance, NuMedii, a biopharma company, has developed an AI technology called AIDD (Artificial Intelligence for Drug Discovery).AIDD uses Big Data and AI capabilities to simultaneously find out connections between drugs and specific diseases, at a systems level. Furthermore, AI-powered predictive gene-analytics and editing tool helps healthcare to explore genes and their varied components. The tool also helps predict the several impacts of gene- edits.

CONCLUSION

The vast amount of data that are generated every moment using healthcare applications is worth signifying how Artificial-Intelligence (AI )is harnessing them, and helping the healthcare industry. From genomic, phenotype, and biomarker data to varied health records, delivery systems, AI technology is harnessing the full potential of these data available.AI also helping a great deal in data-centric radiology, ophthalmology, pathology, and several other healthcare activities. In fact, the market for AI-enabled tools is poised to cross $34billion by the year 2025.

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