Artificial Intelligence Powering Healthcare Innovation.


Uploaded on May 4, 2021

PPT on Artificial Intelligence Powering Healthcare Innovation.

Category Technology



Artificial Intelligence Powering Healthcare Innovation.

Artificial Intelligence Powering Healthcare Innovation Introduction The emergence of new-age technologies has made lives easier by adding value to healthcare as a field. Artificial intelligence alone has brought about revolutionary changes in the industry. Source: AI Innovations A variety of AI-fueled innovations have transformed the landscape of healthcare while providing efficient services and facilities in almost every department including pathology, radiology, cardiology etc. Source: Mental Healthcare AI can reduce barriers to access for mental and behavioral healthcare through a new approach to connecting patients with services. The smartphone-based cognitive behavioral therapy promises to treat conditions like – depression, eating disorders, and substance abuse. Source: Streamlining Medical Workflows Smart speakers are ready to relieve clinicians of their burdensome routine while capturing free-form conversations and translating the content into structured documentation. They can collect and retrieve information more quickly. Source: Identifying Acute Strokes The researchers are currently working on AI-fueled tools that can automate the detection of stroke and support decision-making process around appropriate treatment. Source: Reducing Administrative Burdens Its goal is to reduce the complexity of coding and billing using automation. Healthcare organizations are most likely to continue adopting this strategy in order to control costs and speed up their billing cycles. Source: Wide Access to Health Information Patients, providers, and researchers across the healthcare industry will be able to avail the benefit from a more fluid health information exchange environment especially using artificial intelligence models. Source: New Approaches for Eye Health AI has started benefitting image- based disciplines of healthcare early on. Ophthalmology has seen significant changes as AI algorithms turned more accurate, precise and robust. Source: Brain Health Monitoring AI is aiding discoveries by assisting providers to interpret extremely complex data produced by the brain. Predicting seizures by reading EEG tests and identifying the beginning of dementia earlier can be done using AI technology. Source: Malaria Detection Deep Learning tools can automate the process of measuring the number of malaria parasites in blood samples. Source: