AI for Medicine and Healthcare: Projects for Middle School and High School kids

Updated: Sep 2, 2021

The Intersection of AI and healthcare has tremendous potential for student projects. There is a wide range of healthcare sectors where AI can be used to automate and improve processes. In this blog, we focus on some key areas where middle school and high school can build impactful projects. We discuss hot topics in healthcare, possible projects, and examples of past AIClub student projects in these areas.



What are some examples of AI in healthcare?

AI can be used in any discipline that has data where patterns can be extracted from the data to make informed decisions. Healthcare is perfect for AI because it has a tremendous amount of historical and new data being generated every second. AI has already permeated several sectors in healthcare. Some examples are: drug discovery, personalized medicine, automated segmentation and analysis of medical images etc.


What are some hot topics in healthcare?

The table below lists some of the hot topics for AI in healthcare. These areas have many opportunities for kids to build innovative science fair or other distinctive projects using AI.



Intelligent Mobile Patient Tracking for Infectious Diseases

Sensors that track vitals such as heart rate, skin temperature and other physiological markers etc in addition to motion and activity are available easily in devices like smartphones, smart watches etc. Data generated from these devices over time can be used to detect the advent of diseases, impending heart attack and even COVID-19 days before any symptoms appear. There are several publicly available datasets that capture this type of information.


Foundational AI technologies for Faster Adoption of Telemedicine

Telemedicine is the practice of remote interaction between a patient and the professional health care provider for delivering care. Technologies such as video conferencing, messaging and AI are used to make this process smooth. The COVID-19 pandemic has a huge impact on health care as patients are afraid to visit hospitals due to the fear of exposing themselves to the virus. Healthcare professionals are also at a high risk when seeing patients at their clinics. Telemedicine is a practice that becomes necessary especially in such situations. AI can help the process by tracking, analyzing and alerting based on information provided from wearable sensors. For example, AI embedded into sensors can help doctors examine patient vitals without having to be present with the patient physically.


Disease prediction using multi signal analysis

Multi-signal analysis is another area with great potential. Instead of looking at data generated from a single device, combining data from different modalities is known to improve performance. An example of such data would be a combination of (a) clinical data such as height, weight, age, heart rate etc (b) MRI images (c) Histopathology images when a biopsy is ordered. Combining the rich and diverse information available about a patient over time allows the AI to detect complex patterns and interactions in data leading to better predictive performance.


AI Driven Remote Home Based Patient Monitoring

Remote home based monitoring of the patient becomes necessary in situations where the patient is unable to visit the doctors office, lives alone or has communication issues. During the COVID-19 pandemic, this has become much more common and necessary. This involves collection of patient data from sensors for monitoring heart rate, oxygen levels, blood sugar levels and then transmitting this to the doctors office regularly. Remote patient monitoring is going to become the norm and AI has a pivotal role in making this a seamless experience for both, the patient and the doctor. The amount of data generated by these sensors on a daily basis makes manual inspection by a professional healthcare provider prohibitively time consuming. AI can process this information and alert the healthcare provider with pieces of data that are concerning and need attention. This is an example of one of the many ways in which AI will become an integral part of this area.