Artificial intelligence (AI) - along with its associated concepts like deep learning, machine learning, and the dizzying concept of robots at work – is changing healthcare in unprecedented ways. Today, it assists in accurate medical diagnosis without a doctor’s help and in predicting patterns of illness among common groups of people even before the onset of disease. Here are some specific ways that AI is changing the healthcare worldwide.
Digital consultation
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AI-powered apps are providing medical consultation based on individual medical history as well as common medical knowledge. Users will report symptoms, enter them into the app, and the app in turn will use speech recognition to compare against a set database of diseases. Recommendations for next patient action are also offered.
Controlling antibiotic resistance
Antibiotic resistance or the spread of superbugs is a growing threat to global populations, damaging the hospital setting and killing thousands annually. Electronic health record data can help identify infection patterns and highlight people at risk before symptoms surface. AI and machine learning can be leveraged to drive these analytics for greater accuracy and speedy health alerts.
Medical data management
In healthcare, the first step is to compile and analyze data using medical records and history. AI improves data management through automation and robots collecting, storing, re-formatting, and tracing data for easier and consistent access.
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Advancing immunotherapy for cancer treatment
Immunotherapy harnesses one’s own immune system to attack a malignancy, improving the fight against persistent tumors. Machine learning algorithms and their expert synthesis of very complex datasets can assist in therapies most suitable to a patient’s unique genetic makeup.
Matias Campiani is the co-founder and CEO of Welwaze Medical, Inc., a health tech company dedicated to the development of application-centric software solutions tied to health-monitoring sensors. Learn more about healthcare trends on this page.
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