ARTIFICIAL INTELLIGENCE APPLICATIONS IN HEALTH CARE
Tags: Healthcare, Corona, AI, Health, Coronavirus

Software are interactive intuitive and robust play a vital role in giving best solution to a problem. When the advanced data processing power of medical information system is integrated with the artificial intelligence of deep machine learning, it gives outcomes of life saving medicines

AI offer predictions capabilities through machine by analyzing, the patterns in patient medical clinical datasets, to make predictions by diagnosis and early detection identifying potential health outcomes with high-end diagnostic services

Doctors can now refer to cloud enabled use case database, of an individual patient and immediately compare it with other patients with similar disease symptoms. This helps in accurate treatment of patients and expansion of medical assistance, to a large population as medical care providers can keep in touch with the latest updates on patient’s health by sharing real-time alerts about possible health.

Checking patient wellness

Tracking and Preventing Diseases

Discovery of Drugs

Image Analysis

Help in Surgeries

Automated customer support

A.I for health care clinical diagnosis and treatment

Machine learning is one of the most common forms of AI. This ease on the whole process of prescribing precision medicine for authentic treatment.

The advantages of Artificial Intelligence to leverage faster computing processing of graphics processing units and its subsequent integration, of cloud architectures, helps in sharing the test reports with multiple doctors at the same time.

The healthcare system gain new insights with the clinical data set diagnosis in image analysis, based on deep learning, data and machine learning algorithms of radiology test report of X rays, MRI and CT scan.

Use of A.I in health care with physical robots

Automation in industries ease the whole process of repetitive tasks, multiplying the whole capacity of surplus productions with accuracy. Robots play, a vital role in industries and using AI to develop robots that assist in complex surgeries requiring minimum invasion.

Health care system of every country need better integrated infrastructure, to combine technology in medicine. The easy availability of medical instrumentation has helped docs a lot, in rapid diagnosis with innovation in Robot-assisted minimal invasive surgeries.

These complex surgeries are a success now with extreme precision. With the provision of pre-op medical records in real-time operating metrics the robotic operations has minimized the overall time of surgery post stay at hospitals.

Integrating machine learning AI capabilities intelligence, into physical robots to enhance their operating systems, backed by minimized sophisticated camera that can explore the inside of the human veins offering docs a magnified view of the disease to perform minimally invasive surgery.

A.I in medical field with conversational Chatbot

The wide scale use of AI to develop Chatbot equipped with patients medical database. Hospital records are now automated and the same computers are used by doctors to help diagnose and help the trend out of thousands of medical records.

Further with the more improvement in AI applications healthcare sector will be getting more equipped facilities to provide the better medical treatments at faster pac.

Pharmaceutical companies AI in drug development

The technology scientists used Big Data, Predictive Analytics, Machine learning, AI for the research and diagnosis of unstructured medical data consisting of numerous (radiology images, blood tests, EKGs, genomics, patient medical history, blood samples to develop algorithm for the machines giving them intelligence to search for bacteria analyses.

Wearable health tech gadgets and fitness bands monitors’ health in real-time providing invaluable user information on parameters such as movement steps, calories burnt, blood pressure, sleep patterns, heart rate.

This opens up new scenario for a comprehensive suitable discovering of new medicines new antivirus molecules and vaccine as well as development of new and fast diagnostic tools.