How AI-Driven Tools Can Impact Healthcare

How AI-Driven Tools Can Impact Healthcare

Healthcare Tech Outlook | Friday, June 25, 2021

Artificial intelligence (AI) has the potential to transform the healthcare industry. It can increase productivity and the efficiency of healthcare systems to provide more and better care to more people.

Fremont, CA: Healthcare is one of the most critical sectors of our society. Artificial intelligence (AI) can revolutionize healthcare by improving the productivity and efficiency of care delivery. AI offers several advantages over traditional analytics and clinical decision-making techniques. Below is a list of top ways artificial intelligence will revolutionize the delivery and science of healthcare.

Mind and machine are integrated using computers to communicate and create a direct interface between technology and the human mind without the need for keyboards, mice, and monitors. It has significant applications for some patients. Brain-computer interfaces (bcis) integrated with artificial intelligence could restore problems faced by neurological or trauma patients.

Innovations in next generation of radiology tools

MRI machines, CT scanners, and X-rays offer non-invasive visibility into the human body’s inner workings obtained through the radiological image. But biopsies still rely on physical tissue samples, which carry risks, including the potential for infection. Artificial intelligence can enable the next generation of radiology tools that are accurate and detailed enough to replace the need for tissue samples in some cases. Artificial intelligence is helping to promote “virtual biopsies” and advance the innovative field of radiomics, which focuses on harnessing image-based algorithms to characterize tumors’ phenotypes and genetic properties.

 Care expansion in underserved or developing regions

Shortages of trained healthcare provider can significantly limit access to life-saving care in developing nations worldwide. Artificial intelligence could help taking over some of the diagnostic duties typically allocated to humans. For example, AI imaging tools can screen chest x-rays for signs of tuberculosis, often achieving a level of accuracy comparable to humans.

Making medical devices and machines intelligent

In the medical environment, smart devices are critical for monitoring patients in the ICU. Artificial intelligence can enhance the ability to identify deterioration or sense the development of complications and significantly improve outcomes and reduce costs related to hospital-acquired condition penalties.

Advancement in immunotherapy for cancer treatment

Immunotherapy is one of the most promising avenues for treating cancer. Machine learning algorithms can synthesize highly complex datasets and illuminate new options for targeting therapies to an individual’s unique genetic makeup.

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