Top 8 Applications of AI in Healthcare

Source: Medium

What is AI

Artificial Intelligence(AI) is a branch of computer science that deals with simulation of human intelligence by machines processes and computational rationality.

The top 8 applications of Artificial Intelligence in Healthcare are as follow:

AI Robot-Assisted Surgery

Artificial Intelligence influence in improving health outcomes has proffered solution by implementing Robotic -Assisted Surgery by making use of robotic systems to improve surgical procedures.

Robotic Assisted Surgery improvement of Accuracy Cyberknife robot that utilize 6d motion sensing technology to aggressively track and attack cancerous tumors while saving healthy tissue has become valuable in the healthcare industry.

Virtual Nursing assistants

These nursing assistants are virtual they communicate with patients via tele-services (Phone, Internet video calls and so on) by providing solution to patients in various aspects such as identifying health issues by symptoms, scheduling doctor’s visits, monitoring health anomalies and providing patient data through data-driven technology powered by artificial intelligence.

Clinical trial Participation (Discovery)

The process of clinical trial participation is data-driven by experimental approach with human body. This type of discovery involves human participation for new innovations to help resolve health conditions found in humans.

Artificial Intelligence has improved key areas of clinical trial process in selection/ recruitment of patients and patient monitoring.

Natural Language Processing (NLP) and machine learning (ML) has improved processes like electronic phenotyping, focused on reducing population heterogeneity.

Automated Image diagnosis

Source: TorontoSun

AI has helped in improving automated image diagnosis in magnetic resonance imaging, radiography, ultrasound, computed tomography, mammography and breast tomosynthesis, detecting fractures and musculoskeletal injuries in the healthcare industry.

EMR Data Analysis

Mining and managing healthcare medical data with AI tools have improved EMR data analysis.

Predictive Analysis

Source: Erpva

Predictive analysis has to do with forecast of occurrence based on past data. AI has helped manage cost and inefficiencies by utilizing deep learning algorithms to study patient data.

Precision Medicine (Genomics)

Precision medicine deals with patient care by prescribing treatment to help patients in lieu to genetics.

Genetics and genomics look for mutations and links to disease from the information in DNA. With the help of AI, body scans can spot cancer and vascular diseases early and predict the health issues people might face based on their genetics.

Health Monitoring

The use of health trackers like Fitbit, Garmin, Samsung, Apple and so on, monitor heart rate and activity levels. They send alerts to users to improve their exercise and also share information to doctors (AI systems) for additional data points on the needs and habit of patients.

Generally, artificial intelligence emergence in healthcare has helped expedite processes, minimize cost, improve patient care outcome by study of patient data and helping in forecasting healthcare outcomes and so on.

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