How is Artificial Intelligence, Machine learning and Deep Learning helping healthcare
Artificial Intelligence supports healthcare providers with faster services such as early diagnoses of diseases, drug development, personalized medicine, patient monitoring, virtual nursing assistance.
How is Artificial Intelligence, Machine Learning and Deep Learning helping healthcare
Healthcare world, where sometimes situations become complex, issues of life-death arises, epidemic outbreaks and genetic diseases seek a cure. Artificial Intelligence supports healthcare providers with faster services such as early diagnoses of diseases, drug development, personalized medicine, patient monitoring, virtual nursing assistance.
How it works
Deep learning, based on an algorithm, which learns from a predefined data set, prepared by analyzing large samples such as symptoms of a disease, genetic trend, lifestyle, medical history, pathological test results etc. Based on which medical professionals predict the risks and threats to a patient.
Some trending applications of Artificial Intelligence, Machine Learning and Deep learning in healthcare are:
Robotics in surgery
Robots assist the physicians in precise and accurate microsurgical procedures. They help in reducing variations and compensate for the differences in the skills of doctors.
Robots relieve medical personnel from the high labour requirement, helps them in routine tasks; therefore, they could focus on other responsibilities. They could be used to disinfect patient rooms, work in laboratories to take samples and could also be used to transport carts and meals from floor to floor.
Overall, healthcare robotics provides a robust, powerful, low cost, accurate solution in many complex situations.
Virtual nursing assistants
Pressing the bell to call the nurse has been upgraded to a prototype smart speaker. Virtual nursing assistance includes voice recognition technology, voice biometrics with a secure platform. Accenture 2018 Consumer Survey on Digital Health revealed that 61% had used virtual health assistance, and 55% have used virtual nurses that monitor health conditions and medications.
People sometimes are not able to follow a medication schedule without some reminder or assistance. Care Angel is one of the AI and Voice powered virtual Nurse assistant provider. It has designed the world's first Artificial Intelligence powered Virtual nurse assistant to meet the complex needs of people with chronic conditions.
"An engaged consumer is a healthier consumer. Engagement is the blockbuster drug of the century." Says Wolf Shlagman, CEO of Care Angel.
Pathology and Radiology
Images obtained by MRI machines, CT scanners and X -rays often contain complex data, AI tools could help in decision making in such cases. An AI algorithm could also detect distal radius fractures.
IBM Watson Imaging Clinical Review set provides an AI-powered tool that helps in image diagnosis. It helps in the reconciliation of the difference between clinical diagnosis and administrative records.
During the examination of slide in pathology, Artificial Intelligence could assist as a skilled pathologist. Since trained eyes of an experienced pathologist are not present everywhere, AI could help in accurate and precise examining of samples.
'IBM's Watson for Oncology provides a solution based on information gathered from relevant guidelines, best practices, journals and various sources. Patients medical record is kept in the account. It has deep expertise in cancer care.
Pharmacy plays a significant role in treatment. Artificial Intelligence could help in personalized healthcare offerings. AI can provide guidelines on drug interaction, drug therapy monitoring and formula selection.
Abbvie, Amgen, BASF, Genentech, Nestlè and WAVE are some of the pharmaceutical companies using artificial intelligence in drug discovery.
Pfizer is using IBM Watson's Machine Learning to fuel its search for immuno-oncology drugs.
Sanofi has also sealed with the UK startup Exscientia's artificial intelligence platform for its research on metabolic disease therapies.
Health monitoring is a common and fun application of AI in healthcare. Apple, Fitbit and Garmin are already offering wearable health trackers. Glucose monitors, Smartwatches, Diagnostic wearables, Cardiac monitors, Wearable Imaging, are finding popularity among health-conscious people.
Wearables provide information on heart rhythm, blood pressure, breathing patterns, physical activity and glucose levels. The fitness tracker could be worn on the body. They alert if someone misses a workout routine.
Wearables can be used in research also. The information like sleep, heart rate and blood pressure could help in experimenting a 'drug's effects.