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Artificial Intelligence in Health Care

Artificial Intelligence in Health Care

What is Artificial Intelligence?

Artificial intelligence is creating artificially intelligent models that can do high-level computations and solve complicated problems using techniques such as Machine Learning, Deep Learning, Natural Language Processing, and others. Artificial intelligence aims to solve problems by combining computer science with robust datasets.

AI has many sub-fields, but machine learning and deep learning are two of the most popular. Using machine learning, computers can acquire knowledge from data without being explicitly programmed. An algorithm is used to model high-level abstractions in deep learning, a subset of machine learning.

What Is the role of Artificial Intelligence in Healthcare?

AI and healthcare technologies are very important in the healthcare field, but hospitals and other healthcare organisations may have very different strategies that they support. Putting AI to work in the healthcare field has made it possible to give care and help like never before. It’s also a win for patients, as AI-powered apps and technologies continue to help people get care quickly and easily.

Examples of Artificial Intelligence in Health Care

  1. Accurate Diagnosis of Cancer: PathAI (Pathology AI) is a strong Machine Learning and AI technology that helps Pathologists make accurate diagnosis. PathAI decreases cancer diagnostic mistakes and offers innovative treatments. Better cancer detection might treat or cure most individuals before the disease is deadly, saving many lives.
  2. Early Detection and Diagnosis of Fatal Blood Disease: Artificial intelligence is helpful when it comes to spotting potentially deadly blood-related diseases early on. With AI-enhanced microscopes, doctors can now check blood samples for dangerous compounds and germs like Staphylococcus, E. coli, and others much faster than when they had to do it by hand.
  3. Customer Service Management: NLP (Natural Language Processing)-powered chatbots allow patients enquire about appointments, invoices, and more. Chatbots may communicate to patients about their condition and symptoms, making physicians’ jobs simpler. Chatbots assist patients get answers so doctors may focus on other things. This healthcare approach engages patients and improves treatment and outcomes.
  4. Virtual Health Assistants: Virtual health assistants reply to regular patient queries via phone and email, manage patients’ medical information, schedule doctor visits, provide follow-ups and clinical appointment reminders, etc. Cognitive computing, augmented reality, speech, and body gestures are used.
  5. Health Task Automations: Artificial intelligence automates repetitive, time-consuming processes in the healthcare business. Administrators might then focus on other duties. Olive is an AI-powered platform that automates operations like determining if unadjudicated medical claims are acceptable and transmitting medical data to clinicians. Olive uses a hospital’s existing tools and software, so there are no downtimes or integrations.
  6. Medical Record Management: AI could help gather, store, and analyse important data, like medical information. This could help doctors get the information they need more quickly, making them more efficient.
  7. Dosage Errors Reduction: Even one overdose of a prescription or substance can be bad for a patient’s health, which is why it is so important for the patient to follow the dosage instructions. If not, terrible things could happen. With the help of Artificial Intelligence, mistakes will be less likely to occur in the medical field.
  8. Surgeries Assisted by Robots: Robot surgery is popular now. Many hospitals utilise robotics for duties requiring accuracy, control, and adaptability. It’s utilised for difficult tasks like open-heart surgery. Robots with mechanical arms, cameras, and surgical equipment boost surgeons’ abilities and knowledge. This creates a new operation. Surgeons may operate the robot’s mechanical arms from a computer interface while viewing a magnified, three-dimensional picture of the surgical site.
  9. Fraud Detection: Contrasting with the rising need for reasonably priced healthcare, the incidence of fraud is skyrocketing. Most medical institutions and patients have suffered severe losses as a result of this. With the support of AI-based solutions, the number of fraud attempts has fallen considerably, as these technologies allow complicated process navigation and detect fraud.
  10. Image Diagnosis Automation: AI simplifies picture analysis. Deep Learning technologies and programmes allow AI systems to analyse CT Scan images and MRIs more quickly. The automated image diagnostic method improves clinicians’ diagnosis accuracy. In addition, it helps hospitals deal with a shortage of radiologists and other medical staff. Recently, AI has enhanced medical imaging.
  11. Participation in Multiple Clinical Trails: Clinical trials collect and organise data to uncover disease and therapeutic theories. AI may help hospitals enhance clinical trial findings. AI predicts a patient’s bioactivity and traits. AI systems have helped discover patients to test experimental treatments. AI improves the speed and efficiency of clinical trials in healthcare. Finding the proper individuals is crucial.
  12. Advanced Health Access: AI-powered medical software provides interactive, personalised services like anytime doctor visits. AI chatbots enhance patient care. If the disease is mild, patients are given the right medicine and encouraged to consult a doctor.
  13. Helps in the Development of New Medicines: Creating new drugs for clinical trials takes a lot of time and money. Artificial Intelligence technology allows doctors to scan existing medications and modify them for specific diseases. It lowers the cost of developing new drugs.
  14. Drug Creation: By analysing data and current medications, AI may help to develop new therapies. New medication development is expensive and frequently takes years. However, AI may assist in reducing costs and accelerate medication development in this field of medicine.
  15. Customized Treatment Plans: By analysing a patient’s data, clinical studies, and knowledge, AI may help establish the best course of therapy for a patient and assist medical practitioners in developing a personalised and focused treatment.

How AI is Used in HealthCare?

Healthcare AI might save lives. AI helps physicians with routine chores. AI may enhance patient quality of life, diagnosis, treatment, and health outcomes. Analysing government, healthcare, and other data, AI can anticipate and track sickness transmission. Artificial intelligence can fight global illnesses and pandemics.

Pros and Cons of Artificial intelligence in Healthcare:

Artificial intelligence (AI) is becoming more popular among organizations and people. Every business, from retail to healthcare to banking and manufacturing, uses AI to automate processes, boost output quality, and acquire insights. Despite its advantages, AI has several drawbacks.

Pros:

  • Ability to evaluate data and generate better therapies
  • AI gives real-time data for speedier diagnosis based on outcomes
  • Performing administrative and regular tasks without barriers
  • Streamlining activities using AI has substantially eased healthcare tracking and digital consultations AI can help hospitals assess cases and analyse needs.
  • AI may mix research-based knowledge with illness analysis.

Cons:

  • AI can be expensive at times
  • AI has trouble generalising from one activity to another
  • It requires continual human observation as it still needs many adjustments
  • There is a limited supply of skilled people to construct AI tools.
  • The majority of patients are prejudiced against AI ideas and facilities.
  • AI in healthcare might threaten data privacy security.

Position of AI Healthcare Market Globally:

The AI-driven healthcare sector is expanding rapidly and has the potential to grow. According to Mordor Intelligence, the worldwide market for AI in healthcare will be $23.8 billion by 2025. The sector’s CAGR(Compound Annual Growth Rate) is 39.8%. (For 2018-2026). (Ref. https://neoteric.eu/blog/10-examples-of-artificial-intelligence-in-healthcare-that-will-powerfully-transform-your-business/ )

Future of Artificial intelligence in Healthcare:

AI healthcare is worth billions. Daily technology advances are accelerating AI’s growth. Future AI in healthcare will interpret photos and scans, make diagnosis, devise treatment programmes, and enhance patient care.

AI technology in medicine might minimise human error by recognising anomalies, aid surgeons by knowing the ‘grammar of surgery,’ and forecast readmissions by establishing a readmissions algorithm.

Conclusion:

AI offers several advantages in healthcare industry. AI reduces expenses, increases efficiency, and improves patient outcomes. AI will become increasingly fundamental to healthcare, benefiting patients and professionals.

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