Top 10 Life-Saving Use Cases of AI in the Healthcare Industry in 2023

Top 10 Life-Saving Use Cases of AI in the Healthcare Industry in 2023

AI is very resourceful in the healthcare industry, rounding up top such lifesaving AI applications in 2023

AI is being used in radiology and chronic diseases like cancer to develop accurate and effective inventions that will assist treat patients who are afflicted by these conditions and, ideally, finding a cure. Compared to conventional methods of analytics and clinical decision-making, AI offers several benefits. As training data is understood by AI algorithms, the systems become more accurate. This allows humans to get previously unattainable insights into treatment variability, care processes, diagnostics, and patient outcomes. Here are the top 10 uses of AI in the healthcare sector.

  1. One of the top artificial intelligence and machine learning tools in healthcare, PathAI enables pathologists to make a precise diagnosis. PathAI lowers errors in the cancer diagnostic process and provides a variety of fresh methods for customized medical care. Numerous lives may be saved if cancer patients were diagnosed more accurately so that the majority of them could be treated or cured before it becomes fatal.

  2. When it comes to early diagnosis of potentially fatal blood-related disorders, artificial intelligence is a huge asset. Doctors are now able to check for dangerous compounds and germs in blood samples, such as Staphylococcus, E. coli, etc., at a far faster rate than they could with manual scanning thanks to AI-enhanced microscopes. With the use of AI, the robots were able to learn to recognize these bacteria in the blood and predict their existence in fresh samples with a 95% accuracy rate, significantly lowering the fatality rate.

  3. Chatbots help patients by providing the necessary solutions, freeing up healthcare professionals to concentrate on other pressing responsibilities. In addition to engaging patients, this healthcare solution also provides them with cutting-edge care and improves outcomes. To lessen the burden on the medical staff, chatbots also communicate with patients regarding their sickness and symptoms.

  4. By combining systems with cognitive computing, augmented reality, and body and voice gestures, virtual health aides are produced. It is one of the most helpful AI applications in healthcare that provides patients with a tailored experience in managing their health and removing their questions. Both patients and medical professionals gain from the decrease in hospital visits.

  5. An AI-based clinical-stage biotech platform called BERG seeks to map diseases to hasten the discovery and development of cutting-edge breakthrough drugs and vaccines, revolutionizing the way healthcare is provided. Medical practitioners can produce durable products for patients suffering from rare diseases thanks to research and development (R&D) and interrogative biology.

  6. BenevolentAI was able to deliver the appropriate care to the required patients at the right time with the aid of technologies like Deep Learning and AI, improving target patient selection and providing insights. The business is aiming to provide portable treatments for uncommon diseases and obtain licensing for its products.

  7. Automation of time-consuming, duplicated processes is a key function of artificial intelligence and its tools in the healthcare industry. Olive is an AI-based platform that automates several activities, including determining whether adjudicated medical claims are eligible and sending the required medical data to the appropriate medical practitioners. Olive simply interacts with a hospital's existing equipment and software, eliminating the need for pricey downtimes and integrations.

  8. One of the upcoming Big Data frontiers that need to be conquered is healthcare. Significant and useful data may get lost in the massive data collection like a needle in a haystack, costing the industry billions of dollars annually. Several healthcare companies have turned to AI as a result of data science in healthcare to stop the loss of data. They can now segment and connect the necessary data using AI, which used to take years to handle.

  9. Because even a single excess dose of a medication or substance might have serious effects on a patient's body, the patient must take the recommended dosage promptly. Otherwise, there can be severe consequences. The industry will be able to lower the potential for drug errors with the aid of artificial intelligence.

  10.  To create a new type of surgery, robots outfitted with mechanical arms, cameras, and the necessary surgical equipment enhance the knowledge, abilities, and experience of the surgeons. This enables doctors to operate the robot's mechanical arms from a computer panel while the robot provides a magnified, three-dimensional vision of the surgical site that is not possible to see with the naked eye. Robotic surgeries assisted by AI lead to fewer problems, relatively less discomfort for the patients, and quicker recovery times.

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