Medical industry to adapt Artificial Intelligence for better anticipation

By powering a new generation with AI tools and systems that can make clinicians more aware, more efficient when delivering care, and more likely to get ahead of finding and developing problems, AI will usher in a new era of healthcare and exciting breakthroughs in patient care.

Medical industry to adapt Artificial Intelligence for better anticipation

AI & machine learning are remodeling the medical industry giving divergent technologies to get the cure, comfort, and caution to fight with threatening diseases and still, the researchers are working on AI algorithms to find the vaccine, inventing medical devices, or innovating surgical machines. check here about Innovations and Inventions of Artificial Intelligence in Healthcare Sector

Image Source : Artificial Intelligence

Electronic health record use :

Electronic health records (EHR)—the digital version of a patient's information—are secure, transferrable records with incredible potential to improve the care physicians provide for patients.

How does AI/ML fit into EHR?

Data mining: Medical practice requires a lot of data. Gathering this data takes a tremendous amount of time.

Finding data about the patient and the treatment :

ML is used to collect relevant information in the medical history and record of treatment to further aid in decision-making.

Data extraction:

ML gather pertinent data based on terms and outcomes across the EHR database. An example would be determining what medication proved to be active for specific ailments and the circumstances under which they were administered.

Natural language processing (NLP):

Most medical records are in text form combined with graphs and charts.

  • Medical transcription
  • Report generation
  • Document search

Artificial Intelligence in Digital Pathology:

As the digital pathology market grows, facilities that rely on digital pathology will start using artificial intelligence (AI) to assist. AI could help health professionals cope with the gigantic quantities of data that digital pathology images create.

According to experts, the global digital pathology market was worth $689.2 million in 2018. It’s also expected to grow at a rate of 11.7% each year between 2018 and 2026.

Google recently developed an AI algorithm called LYmph Node Assistant (LYNA) that’s drawing attention from people who work in digital pathology. The company reported that it could successfully detect metastatic breast cancer on slides 99% of the time.

One American gastrointestinal pathologist said more than half of the biopsies from endoscopic procedures he saw were problem-free. AI learns what’s normal and can flag the cases pathologists need to investigate further

Image Source : Digital Pathology

AI-Optimized Medical Devices :

AI-assisted medical innovations offer health care consumers more control, options, and accuracy than previously possible. Several examples:

Diabetes patients can keep track of diet, exercise, and medications with the help of AI medical devices. There are s digitized glucose meter links to a device to automatically record blood sugar results.

According to the most recent data reported by SelectUSA, the United States held 40 percent of the $140 billion global medical device market in 2015.

  • Management of chronic diseases :  Companies are using machine learning to monitor patients using sensors and to automate the delivery of treatment using connected mobile apps. Example: Diabetes and automated insulin delivery.
  • Medical imaging : companies are integrating AI-driven platforms in medical scanning devices to improve image clarity and clinical outcomes by reducing exposure to radiation Example: GE Healthcare CT scans for liver and kidney lesions.
  • AI and Internet of Things (IoT) : Companies are integrating AI and IoT to better monitor patient adherence to treatment protocols and to improve clinical outcomes. Example: Philips Healthcare solution for continuous monitoring of patients in critical condition.

Diabetes patients can keep track of diet, exercise, and medications with the help of AI medical devices. There are s digitized glucose meter links to a device to automatically record blood sugar results.

Image Source :High-tech innovations give diabetics formidable tools

Artificial Intelligence Predicts Lung Cancer Immunotherapy Success

An artificial intelligence algorithm can able to find previously unseen changes in patterns in CT scans and determine how well patients with lung cancer would benefit from immunotherapy, according to a study published in Cancer Immunology Research

Researchers from "Case Western Reserve University" stated that only about 20 percent of cancer patients would actually benefit from immunotherapy, a treatment different from chemotherapy in that it uses drugs to help your immune system fight cancer. Chemotherapy, on the other hand, uses drugs to directly kill cancer cells.

In the initial study, the AI team used CT scans from 50 patients to train the AI algorithm to identify changes in lesions and distinguish patterns most associated with immunotherapy success.

Additionally, the patterns on the CT scans also found that the arrangement of immune cells are also responsible for the original diagnostic biopsies of those patients.

This indicates that CT scans actually appear to be capturing the immune response elicited by the tumors against the invasion of cancer, and the ones with the strongest immune response would best respond to the immunotherapy.

The results demonstrate the potential for AI algorithms to enhance cancer care and reduce costs associated with cancer treatment.

Image Source : AI CT scans cancer

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