AI is all about giving a computer or system the ability to think and react to a condition on its own which humans would either can’t do or take more time. AI is very useful in medical image analysis, decision-making, early diagnosis, treatment, patient data assessment, medical chatbots, drug discovery, cancer research, predictive analytics etc. 

IoT in healthcare is all about giving physical medical and non-medical devices the ability with sensors, chips and software to share and receive data over the Internet. IoT is very useful for remote patient monitoring and tracking of medical devices.

RPA is all about building software which works as bot and performs fixed tasks on a computer without the intervention of humans. In healthcare, it is majorly used to automate manual data entry, data extraction, asset tracking, appointment booking, EMR/EHR automation, post-treatment care etc.

Computer vision is all about giving the ability to a device to assess and figure out the meaning from a visual element which includes images. In healthcare, it is used to track the body movements in physiotherapy sessions, assess the wound & skin images and know the healing progress over time which ends up revealing the effectiveness of the care plan.

AR is all about overlaying medical and non-medical objects into real environments whereas we can create virtual replicas of any real environment using VR. In healthcare, AR/VR is used for mainly research, training and education as it does not require costly and infeasible required medical resources for purposes around education.

Data privacy, regulations, cost-effectiveness, learning curve, security, scalability, performance, and usability are some of the challenges experts first need to overcome to claim maximum benefits from healthcare technologies. One way to solve all these challenges is to have knowledge of clinical use cases of these healthcare technologies. ​