Today AI is taking over the world, and its wide use in nearly every development sector is gaining immense popularity. You all must have encountered some or the other AI trends while you visited your doctor or the hospital or simply one of the AI gadgets which might be used to monitor your health. However, there are many other AI trends you must know about, and to tell you about some of the recent AI trends, this article will serve you just right!
AI and Healthcare:
AI use in healthcare has gained significant popularity, especially during the pandemic. From combining specific scientific papers on coronaviruses to actually searching the CT scans for Covid-19 symptoms. AI is leaving a significant trail of developments in its use. It is also making a lasting impact on the industry.
Want to know more? Keep reading!
AI and Pandemic:
The WhiteHouse has partnered with AI research institutions to mine specific literature to understand the Covid-19 virus better. Biotech companies and big tech players have leveraged AI to understand the structure of the novel coronavirus to expedite drug discovery. In this process, many AI trends have played significant roles in expediting the discovery of the antidote to coronavirus. Social distancing and lockdown measures have forced the medical labs to accelerate their digital pathology capabilities.
Now, let us look at some of the AI trends the healthcare industry saw during the pandemic. Are you all ready? Let’s get started!
Healthcare AI Trends:
Healthcare Analytics:
It is one of the most significant AI trends that use ML algorithms to rapidly discern relevant information from large amounts of medical data. It enables early detection and timely intervention by analyzing data from EHRs, medical devices, and wearables.
The German startup of Medplus has enabled an AI-assisted software platform that analyzes respiratory and heart acoustic data. The startup’s stethoscope has a digitizer that converts an analog stethoscope into a digital device. This device collects auscultation data.
Many other startups developed predictive models for analyzing patient datasets to prevent stroke, cardiovascular disease (CVD), neurodegeneration, and other complications among at-risk populations.
Telehealth:
AI has made health monitoring easier. Routine patient health and recovery monitoring has enabled many professionals to focus on complex cases and emergencies. The AI-driven virtual consultations and remote patient monitoring have enabled them to assist patients worldwide and provide data-driven care. There are also AI assistants, one of the recent AI trends. The NLP-powered virtual health assistants and chatbots automate disease diagnosis, health monitoring, and triaging.
Medical Robots:
Today, technology has advanced immensely, and we can now see the use of medical robots. The startups develop medical robots for providing healthcare facilities in remote areas. These robots perform complex procedures with higher precision. Surgical robots assist surgeons in reducing the risk of complications and increasing the success rate of surgeries. Isn’t it amazing? Keep reading, as we have more to share with you all.
Medical Diagnostics:
AI trends are visible in every subdivision of the Healthcare industry. Similarly, in medical diagnostics, the use of AI has improved patient outcomes by providing faster diagnoses for supporting clinical decisions and reducing the risks of human errors. Startups today use a range of data processing methods, such as ML and deep learning, to increase the capacity and streamline radiologists’ workflows. Examples include medical analysis of computed tomography (CT) scans and retinal images, electrocardiogram (ECG) waveforms, and genetic testing.
All these uses of AI minimize the need for unnecessary tests and procedures, and it also decreases the burden on the healthcare infrastructure.
Clinical Decision Support:
AI-based clinical decision support, or CDS, has minimized the time for identifying patients at high risk and predicting the possibility of diseases. This has enabled healthcare providers to provide preventive actions early for disease management and improve patient outcomes.
The AI algorithms have provided diagnostic support and test recommendations using evidence-based guidelines. Startups have leveraged NLP for analyzing patient data from EHRs and other clinical data sources for treatment recommendations. This facility also assists physicians in providing patient-specific care and advances personalized medicine. This has also allowed healthcare institutions to identify the patterns of drug interactions and support clinical trials and drug development.
Public Health Management:
AI trends are also seen in the sphere of public health management. Disease surveillance, management, and outbreak prediction are some of the primary uses of AI in population management. Startups have developed these AI models for data from heterogeneous sources, including social media, to monitor trends and the spread of infectious diseases. This information has been utilized to develop targeted interventions and policies to protect public health.
Startups have also developed programs with an in-built AI tailoring these programs for individual populations.
Do you know about some of the most popular trends highlighted in the pandemic? Keep reading to know more.
Healthcare AI Trends that have been Accelerated by Covid-19:
- Telepathology: AI and digital slides will be the new normal for labs
- Faster, cheaper, better: The next generation of MRI and CT scans
- Instant blood and at-home rapid testing: AI will edge out labs for certain tests
- From nursing homes to quarantine wards, AI-driven passive monitoring has taken off
These are some of the best AI trends which have gained immense popularity during the pandemic and are continuing to do so.
Conclusion:
That’s all, folks. I hope the article helped you in getting all the information you needed.
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