Science

The future of healthcare, a question of balance between AI and robotics

Technology is about to revolutionize and revolutionize the healthcare sector: innovations in artificial intelligence or robotics promise to transform diagnostics and care for physicians.

According to a CB Insights report, we have seen an explosion of AI use cases in healthcare in recent years, especially in the wake of the pandemic.
Whether it’s cheaper, faster, better MRI, CT scans or telepathology… These new technologies have the potential to change the way pathology labs work, and AI has a critical role to play.

Faster and better diagnostics

Given that misdiagnosis can have potentially fatal consequences, the promise of AI to improve the diagnostic process presents a very attractive alternative.
With the help of AI, scans are converted into a personalized 3D model that helps doctors accurately study blood flow.
In radiology, computer vision can help detect abnormalities in medical scans and improve diagnosis.

On the other hand, a machine learning algorithm built by an MIT-led research team can now analyze 3D scans 1,000 times faster. Such applications could prove to be extremely valuable, as image analysis is currently a tedious and time-consuming process for clinicians.

Better Decision Making

By providing much-needed actionable insights based on data analytics, AI can help healthcare workers by enabling them to make better decisions.
However, the main concern remains accessibility as well as data protection to avoid any misuse. Therefore, it is necessary to provide for a sufficient number of interventions and checks.
Platforms and governance models should be designed to provide good flexibility in protecting personal data.

Faster discovery with simplified administrative procedures

With serious diseases like cancer, every minute counts. AI-based solutions can not only provide early detection of diseases, but also help predict the right treatment.

Currently, medical processes are tedious, repetitive and time-consuming. Technologies such as automatic speech-to-text transcription can help doctors, nurses, and support staff.
Of course, rather than blindly automating existing processes, the focus should be on eliminating unnecessary or redundant processes by providing direct, real-time processing.

Making the Most of AI in Healthcare

While AI has huge potential in healthcare, it now has to address certain issues, especially in terms of privacy and ethics. Given the highly personal nature of healthcare, it is essential to earn the trust of patients when it comes to using machines for diagnosis and treatment.

From a broader technological perspective, here are a few ways healthcare providers can prepare to make the best use of AI in their business.

>> Creating a data lake. Consolidating data as a data lake gives you the flexibility to use it for different use cases. Even if it is not for immediate use, having the necessary analysis capabilities can be very helpful.

>> Establish data privacy protocols: With the rise of automation, it is important to have detailed, established and internal privacy protocols.

>> Training: It is very important to educate all participants in the healthcare ecosystem on the correct use of information. Otherwise, it may lead to unforeseen consequences that can cause serious damage.

From a regulatory perspective, government agencies are already setting up forums and committees, among other things, to put in place control and governance mechanisms to prevent misuse of data.

AI and machine learning have proven to be fundamental to the early diagnosis of serious diseases and have radically improved the accuracy of correct diagnoses. This transformation has had a real positive impact on patients. With a combination of new AI innovations, a growing shortage of skilled healthcare professionals, and a rapidly aging world population, AI in healthcare is here to stay.
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Subhro Mallik, Senior Vice President and Head of Life Sciences at Infosys

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Advanced AI and cybersecurity.

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