Published: Mar 01, 2022

top 6 artificial intelligence trends emerging in health in 2022

Healthcare, like many industries across the globe in recent years, has experienced an increased level of digital transformation. 2022 for the healthcare sector will be no different. This significant change in the industry will allow for an increase in high quality and affordable healthcare to be accessible by more patients than ever before. Patient-centric healthcare has become the cornerstone of the industry, aiming with the use of AI, to improve the overall patient experience. The increase in demand for improved patient experience has made it essential for these organisations to deliver more patient-centric business models that are unpinned with the correct technologies.

With inward-facing, single-view care becoming increasingly more in demand within the healthcare sector, Artificial intelligence is likely to become an integral tool in offering patients a more sophisticated, affordable and personalised healthcare experience. These are the top 6 AI trends that are emerging in 2022.

In recent years, the use of AI for diagnosis of critical diseases, such as cancer and coronary heart disease, has been deployed in a few hospitals across the United States. The use of the AI in the diagnosis stage of treatment is advantageous to both the patient and the healthcare provider as it increases the accuracy of the diagnosis within the early stage of illness. An example of how AI organisations are transforming the healthcare space in diagnosis is Enlitic. Enlitic, a start up in the United States, is a medical intelligence company that is aiming to enhance the capabilities of patient care, by utilising artificial intelligence to enhance tumour detection. The software's algorithms, with the help of a Computed Tomography (CT) scan, helps detect tumours in the patient's lungs, allowing for earlier detection rates, which can increase the likelihood of survival.

New capabilities for Artificial Intelligence have been found in the data mining sector of medical records. Data mining is primarily utilised to interpret big data and analytics in the healthcare sector. The use of big data mining is a great all-round technique that has the ability to benefit surgeons in healthcare, allowing them to better evaluate large capacities of data and to gain better insights, encouraging greater precision in surgery. With the recent sale of IBM Watson, companies such as RapidMiner and Google's Cloud AI Platform are leading the charge in data mining for healthcare, allowing for healthcare organisations to better identify data patterns in patients and visualise future trends for the sector.

Artificial Intelligence chatbots have been intellectualised by a large amount of technology organisations in recent years. These artificial intelligence chatbots can help patients of healthcare in many ways including; providing medical reminders, the scheduling of appointments, and providing pre-diagnosis before the patient even enters the clinic based on their symptoms. Well known AI health organisations such as Healthily have utilised technologies to assist patients and physicians in streamlining the healthcare process through appointment scheduling and reminders.

The use of robots in surgery can soon be a reality. Many technology organisations such as Jaka Robotics are conceptualising surgical robots for precision surgery. Robots now have the capability to analysing CTI, MRI and X-ray scans to streamline the treatment process. In the future, medical robots powered by AI, could make the surgical process not only more accurate, but far more efficient. Jaka Robotics aims to push the boundaries of medical procedures through this new venture. With the use of these surgical robots, doctors will have the ability to oversee procedures, leading to increased efficiency and precision in surgery.

The capabilities of Artificial Intelligence in the research and medication design have been, in recent years, recognised more than ever. Applications of AI in medical research and development include; protein detection and analysis, which can enable researchers to adjust the protein levels in a medicine as it is being produced, streamlining the process and increasing accuracy in production. In addition, this could assist researchers in discovering new protein features, leading to the creation of revolutionary medicines that may not have otherwise been discovered.

Artificial Intelligence is already being utilised in healthcare to help doctors to identify ideal candidates for clinical trials. GNS Healthcare, have developed a clinical trial strategy with data and AI that enables the researcher to recognise a patient's response to a particular treatment based on the individual's medical history and characteristics. This allows for the participant to receive a much more personalised experience when undergoing a clinical trial, as the doctor can identify the candidate's suitability for the treatment earlier, allowing for increased efficiency and personalisation in the clinical trial process.