Quick Intake
The Future of Artificial Intelligence in Healthcare –
Every one of us has the heard of this term. But is it going to take control of humans? Certainly NOT !!
AI, through its capabilities, is assisting the humans in carrying out their activities with much more speed, efficiency, and accuracy. It has its footprints in almost every Sector
Let us have a quick review of areas it is serving w.r.t the Medical field.
1.Data Mining and Big data analytics in Patients medical records to provide better and faster medical services
2. Designing customized and suitable treatment plans.
3. Medical Sieve – Assisting the doctors by acting as a Cognitive Assistant
4.Babylon – Online medical consultation app
5.Virtual Nurse – A bot which will monitor the medical condition of patients thus assisting the doctors
6.AI Cure app – an App Monitoring patients adherence to medical prescriptions and advice via smartphone
7.Drug Creation – Virtual R&D support, which enables drug creation and testing
Almost all of the areas are harnessed by AI thus helping the doctors to efficiently carry out their functions. Though it is a helping hand, It will NEVER substitute the affection between a Doctor and Patients.
Read the below article for more information on AI and Health Care.r
Artificial intelligence already found several areas in healthcare to revolutionize starting from the design of treatment plans through assistance in repetitive jobs to medication management or drug creation. And it is only the beginning.
#1 Mining medical records:
The most obvious application of artificial intelligence in healthcare is data management. Collecting it, storing it, normalizing it, tracing its lineage – it is the first step in revolutionizing the existing healthcare systems. Recently, the AI research branch of the search giant, Google, launched its Google Deepmind Health project, which is used to mine the data of medical records in order to provide better and faster health services.
#2 Designing treatment plans:
IBM Watson launched its special program for oncologists has an advanced ability to analyze the meaning and context of structured and unstructured data in clinical notes and reports that may be critical to selecting a treatment pathway. Then by combining attributes from the patient’s file with clinical expertise, external research, and data, the program identifies potential treatment plans for a patient.
#3 Assisting repetitive jobs:
IBM launched another algorithm called Medical Sieve. It is an ambitious long-term exploratory project to build the next generation “cognitive assistant” with analytical, reasoning capabilities and a wide range of clinical knowledge. Medical Sieve is qualified to assist in clinical decision making in radiology and cardiology. The “cognitive health assistant” is able to analyze radiology images to spot and detect problems faster and more reliably.
#4 Getting the most out of in-person and online consultations:
The British subscription, online medical consultation and health service, Babylon launched an application this year which offers medical AI consultation based on personal medical history and common medical knowledge. Users report the symptoms of their illness to the app, which checks them against a database of diseases using speech recognition. After taking into account the patient’s history and circumstances, Babylon offers an appropriate course of action.
#5 Health assistance and medication management:
World’s first virtual nurse, Molly developed by the medical start-up Sense.ly. It helps people with monitoring their condition and treatment. The interface uses machine learning to support patients with chronic conditions in-between doctor’s visits. It provides proven, customized monitoring and follow-up care, with a strong focus on chronic diseases.
#6 The AiCure app supported by The National Institutes of Health uses a smartphone’s webcam and AI to autonomously confirm that patients are adhering to their prescriptions, or with better terms, supporting them to make sure they know how to manage their condition.
#7 Drug creation:
Developing pharmaceuticals through clinical trials takes sometimes more than a decade and costs billions of dollars. Atomwise uses supercomputers that root out therapies from a database of molecular structures. Last year, Atomwise launched a virtual search for safe, existing medicines that could be redesigned to treat the Ebola virus.
They found two drugs predicted by the company’s AI technology which may significantly reduce Ebola infectivity. This analysis, which typically would have taken months or years, was completed in less than one day.
We have to tear down the prejudices and fears regarding artificial intelligence and help the general population understand how AI could be beneficial and how we can fight its possible dangers. The biggest fear is that AI will become so sophisticated that it will work better than the human brain and after a while, it will aim to take control of our lives.
