How will Artificial Intelligence improve healthcare? Part 2

March 18, 2022
  1. Medical devices and machines with intelligence

Cars can drive on their own, your phone knows exactly where you parked, and your oven sends you a notification when the cake is done. What about smart devices in the medical environment?

Indeed, they are crucial in the monitoring of patients in the ICU. ArtificialIntelligence can help with determining any deterioration.

“When we’re talking about integrating disparate data from across the healthcare system, integrating it, and generating an alert that would alert an ICU doctor to intervene early on – the aggregation of that data is not something that a human can do very well,” said Mark Michalski, Executive Director of the MGH& BWH Center for Clinical Data Science.
  1. Advancement of immunotherapy for cancer treatment

Immunotherapy involves using your body’s immune system to help fight cancer, and it is the most promising type of treatment. Sadly, the majority of patients do not respond to this option. Oncologists are trying for a more reliable method for establishing which patients are likely to recover with this type of therapy.Long Le, Director of Computational Pathology and Technology Development at the MGHCenter for Integrated Diagnostics pointed out that there is a need for more patient data. Therapies are relatively new, and it is crucial to augment the patient population to drive the modeling process.

  1. Electronic Health Record as a reliable risk predictor

It is a fact that EHRs are reliable. Of concern is how ridiculously hard it is to extract and analyze the data buried in said Health Record.

Ziad Obermeyer, Assistant Professor of Emergency Medicine at BWH and AssistantProfessor at HMS noticed that the gist lies in the act of integrating data to be in one place. He also added that understanding the algorithm behind predictions may be a challenge. When predicting, AI shows the billing code for the disease.

Relying only on these results is not enough.

The analytics have created prosperous tools that score risk and stratification; however, it is critical to ensure that these algorithms do not confirm hidden biases in the data.

  1. Wearables and personal  devices

If you ever find yourself at the UAM University in Poznań, you may notice that literally everybody is wearing a Mi Band. Monitoring your heartbeat every minute is today’s normality as well as ensuring that you fulfill a goal of 8k steps a day.

By gaining a unique perspective with health monitoring devices, people feel safe. Checking out their last night’s sleep, they find themselves in control. Without artificial intelligence, this would not be possible.

Getting people to share data is more complex than collecting said data - said Omar Arnaout, Co-director of the Computation Neuroscience Outcomes Center and an attending neurosurgeon at BWH.

These days, more and more users become aware of the big chunks of data they share and with whom. Omar highlighted that people trust their doctors more than, for example, Facebook. The granular data is of great help when experiencing health problems, and talking about it with professionals, may result in a more accurate diagnosis.

  1. Selfies as a diagnostic tool?

Surely you must have noticed that Instagram selfies have evolved into out-of-this-world photoshoots, where you can see your every wrinkle and the lightest acne.Because of the increase in the quality of phone cameras, it is possible to create a viable model for analysis.

We have noticed that soon-to-be dermatologists are using their Instagram accounts as a platform to practice their skills.

UnitedKingdom researchers did their work and developed a code that analyzes an image of a child’s face and then identifies developmental diseases. The algorithm is able to notice features like the jawline, eye and nose placement, and other attributes.

We should be more aware of the power our own phone holds. Hadi Shafiee, Director of theLaboratory of Micro/Nanomedicine and Digital Health at BWH emphasized how great the opportunity is to provide even smarter services.

  1. Clinical decision making with Artificial Intelligence

Nowadays, we tend to get ahead. Ahead of forgetfulness by setting up an alarm, ahead of our hangover by eating before going to sleep, ahead of… our health.

In today's world, we create the processes enabling predictions. Artificial Intelligence isa core here. It is in power to warn us about a variety of conditions, so we are always in the lead.

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