AI – The future of healthcare and medicine
In recent years, the evolution of some wonderful medications has increased the probability of life-saving opportunities. There are medications that claim to cure even the most serious illnesses such as cancer and other chronic diseases. The medical industry is changing and this has led to increasing expectations of patients from their hospitals.
When machines and their advancements are introduced in the healthcare industry, it opens up endless opportunities to use technology to conduct different operations and processes in a smart, precise, and efficient manner. Further, it can contribute to risk assessment of a particular illness so that providing treatment can be facilitated with an impactful intervention at the right moment for ensuring the best patient care.
AI can offer the ability of smart learning algorithms that can add advantages to clinical decision-making techniques to perform diagnosis and care processes in a precise and accurate way. It helps maintain smart data for patients that enable a structure to monitor and maintain voluminous data about the patients.
There are several ways in which AI will revolutionize the healthcare sector and these are:
- Unifying mind and machinery using brain-computer interfaces
Computers and machinery have long been used in many sectors, but with the help of AI, it is possible to create a smart interface between technology and the human mind. When AI is used in health care applications, it provides a cutting-edge specification for research and treatment.
Using AI in neurological diseases and trauma, it is possible to detect the issues at the right time and provide the best treatment in such cases. Smart machinery offers brain-computer interfaces that could directly connect with the brain to improve their medical condition. This could help reduce the extreme effects of such diseases as loss of speech or loss of movement.
- Development of smart radiology tools
Most doctors trust reports of MRI machines, CT scanners, and X-rays. Such machines offer a visualization report of the inner functions of a human body. This is a smart diagnostic process that can be relied on for several outcomes, however; many believe these machines offer non-invasive visibility. Doctors often trust physical tissue samples or biopsies reports.
Through tissue, medical examination and biopsies offer the most precise samples to study the condition of an individual patient they create an unidentified risk of infections. Artificial intelligence is thus set to introduce the concept of virtual biopsies that could peep into tumours’ genetic properties and other types of cancers.
- Providing technological support in developing areas
There is the easy availability of radiologists, but such segments often lack in other health care executives such as ultrasound technicians. This shortage reduces the overall efficiency of radiologists. Artificial intelligence can impact the needs of the clinical staff because radiologists can then be able to use technology to perform additional tasks.
When AI will be introduced to imaging tools, it could enable x-ray machines to detect even the early signs of diseases such as tuberculosis with high accuracy so that treatment can be availed at the right time.
- AI in clinical documentation processes
Computers have been long used to maintain patient records in healthcare organizations and hospitals, but those digital records have slowly started to create issues. Electronic health records are already flooded with patients’ information and sometimes it is hard for clinical staff to keep track of it.
This cognitive information overload, user burnout, and endless documentation made it quite essential to introduce AI for managing electronic health records. This can help create a focus on three essential tasks of information and these are maintaining perfect clinical documentation, easy entry of patient information, and sorting of information in a well-managed manner.
- Identification of the antibiotic resistance risks
Overdose of certain medications may cause superbugs to evolve. When certain critical drugs are given to individuals, their bodies may stop responding to such drugs. It is thus important to monitor the patients on such medications.
Introducing artificial intelligence can help keep track of such patients so that the right drug pattern can be suggested to such patients as soon as they develop any symptoms of antibiotic resistance.
- Introducing intelligence to machinery and medical devices
For monitoring critical patients, advanced mechanisms and improved instruments are essentials. The introduction of artificial intelligence may help develop smart devices. The aggregation of such devices monitors patients and provides the right treatment even when they are in critical conditions.
Using smart devices, it is possible to reduce complications in patients and ensure improved outcomes. The introduction of intelligence to smart devices can also help monitor patients admitted to ICU even when they are not in a stage to respond properly.
- Advancement of procedures like immunotherapy for cancer patients
Treatment such as chemotherapy and immunotherapy is effective to treat patients with cancer. Cancer is a serious illness that creates a risk of life for many patients. However, in recent years, effective medical treatment is successful to treat cancer patients in the early stages, but the evolution of effective treatments is still awaited.
With artificial intelligence, it would be easy to collect data of past patients to ensure better treatment for them. The introduction of machine learning algorithms in immunotherapy could help act right on the genetic functions of patients and thus help provide precise treatment for cancer patients.
- Using health records for prediction of risk
Computers have long been used to manage and maintain the health records of patients. Electronic health records have wide data of past patients and their related treatments. Even when they have precise information about patients, it is sometimes difficult to extract reliable data from it. Artificial intelligence helps extract reliable, accurate, and timely data for analysis and clinic decisions.
There are algorithms in AI that could help retrieve just the required information in order to predict the risk of certain diseases and treatments. EHR analytics can help depict diseases at the right time and can also suggest which medication will be effective for such issues.
- Predicting health issues with smart and wearable devices
In recent years, AI has been successful in introducing effective medical devices that could collect the health information of a patient. There is software that could detect heartbeats right on smartphones. Instruments of blood pressure, oxygen level, and fever tracking devices have long been used in each home now.
When artificial intelligence works with such devices, it is easy to extract meaningful data so as to conduct actionable insight about health and treatment in humans. With such smart devices, it is no longer required to visit the clinic for basic health checkups because this can be done right at home in easy steps.
- Using Smartphone images as diagnostic tools
People love taking selfies but now these selfies can be used as an important input for clinical imaging. With huge populations, it is hard to conduct individual imaging for every patient and in such cases, such photographs from smart devices could act as a medical input.
The earlier and most basic example is dermatology and ophthalmology. There are algorithms supported by AI that could provide attributes for the detection of features such as a child’s jawline, eye placement and nose placement etc.