What uses and advantages does artificial intelligence have in the medical field

1. Management of medical records and other information

While the first step in healthcare is collecting and analysing data (e.g. medical records and other backgrounds), data management is a more commonly used term for artificial intelligence and digital automation. Robots collect, store, retrieve and monitor data, enabling faster and more consistent access.


2. Repetitive task management


Exams, X-rays, CT scans, data entry, and other routine tasks can be performed faster and more accurately with robots. Cardiology and radiology are two fields that require a lot of data and time to analyse. Future cardiologists and radiologists should see only the most complex cases where human observation is useful.


3. Treatment plan


Build artificial intelligence systems that analyse data from patient history records, reports, external research, and clinical practice to help choose the right course of treatment.


4. Digital advice


Apps such as Babylon in the UK use artificial intelligence to provide medical advice based on a person's medical history and general health information. When users report symptoms to the app, voice recognition is used to compare those symptoms to a database of diseases. Babylon considers the medical history you have and suggests a course of action.


5. Virtual nurse


Molly is a digital nurse created by startup Sense.ly that helps people monitor patients between doctor visits and follow-up care. This program uses machine learning to help professionals living with chronic diseases.

In 2016, Boston Children's Hospital created an Amazon Alexa app to provide basic health information and advice to parents of sick children. The app answers questions about your medications and your doctor's needs about your symptoms.


6. Administration of medicines


AiCure was developed by the National Institutes of Health to monitor drug abuse in patients. Smartphone webcams work with artificial intelligence to help patients fill prescriptions and manage their conditions. The most common users may be people with serious illnesses, patients not following medical advice, or clinical trial participants.


7. Medicines


Improving a drug through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could make a big difference. During the recent Ebola scare, AI-based programs were used to analyse existing drugs and redesign them to fight the disease.

The program discovered two drugs that could slow the spread of Ebola in one day, trials that typically take months or years. This means thousands of lives could be saved.


8. Precision medicine


Genetics and genomics deal with mutations and diseases in DNA information. Body scanners equipped with artificial intelligence can detect cancer and vascular diseases early and predict a person's health problems based on genetic makeup.


9. Health regulations


Health trackers from FitBit, Apple, Garmin, and others monitor heart rate and activity level. They can encourage users to exercise more and share this information with doctors (and AI systems) to learn more about the patient's needs and habits.


10. Medical system analysis


In the Netherlands, 97% of healthcare payments are digital. A Dutch company is using artificial intelligence to help local healthcare systems sift through data to highlight treatment errors and workflow inefficiencies and prevent unnecessary patient admissions.


Benefits of AI Applications in Medicine


AI has the potential to improve medical practice in a number of ways, such as by accelerating research or assisting clinicians in making more informed decisions.Some examples of AI applications are presented in the following subsections.


  • AI in disease detection and diagnosis


In order to identify risk variables, ML models are employed to track the vital signs of patients undergoing critical care.AI models can predict input data to alert doctors in emergency situations. Prematurity prediction AI model that is 75% more accurate in detecting severe sepsis can also detect complex conditions such as sepsis. For example, IBM's Innocence BV uses AI models to predict sepsis in endangered newborns.


  • AI in Medical Imaging


Artificial neural networks have proven to be as effective as many radiologists in accurately identifying symptoms of disease. Computing resources allow storing large numbers of medical images, allowing doctors to more easily track a patient's medical history. This important information is also very useful during the treatment process.


  • Acceleration of new drug development


Because the drug discovery process is complex, expensive, time-consuming and challenging, computer-based drug discovery techniques are being used in drug discovery and development to study their physicochemical and biological properties. These data-driven approaches can help identify drugs that contain low-risk compounds and can be repurposed to treat diseases at low cost and short timelines. AI can help design better drugs, develop new combination therapies based on patient history, and many key challenges to big data in the pharmaceutical industry can be overcome with the help of AI.


  • Reduce errors


AI improves patient safety and AI safety tools ensure accurate decisions through better error detection and medication management. AI-based tools make life easier for doctors and healthcare workers.


  • Real-time data provided


AI tools can instantly provide accurate information for diagnostics and other medical fields. AI provides healthcare professionals with fast, accurate data to accelerate and improve critical clinical decision-making. Standardised outcomes lead to improved treatment outcomes, cost efficiencies, and reduced patient waiting times, leading to improved doctor-patient relationships. Patients can also monitor their condition using data through a mobile phone app. A variety of AI apps help patients plan their diet, exercise, reduce anxiety, and connect patients suffering from similar illnesses around the world. Mobile notifications can notify medical staff of emergencies and emergencies. More data may be accessed and gathered by advanced AI technology than by conventional means of gathering and archiving medical records.


Read Also : Top ai applications in the medical field

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