Telemedicine and Artificial Intelligence

Artificial Intelligence (AI) has a lengthy history. Process automation, cognitive insight, cognitive engagement, and machine learning are the initial functions of AI application in the human realm as an advanced level in machine technology. Artificial Intellect, the act of replicating human intelligence in machines, has proven immensely effective in tackling technical challenges that are intended and appropriate for the human mind. Simulating learning, reasoning, and perception in a machine has actually assisted the human race to break through many barriers, from the simplest to the most complicated of jobs.

Modern Medicine and Artificial Intelligence

Artificial Intelligence (AI) is no longer confined to the laboratory. Within clinical research, it has long been theorized and pushed for its use in medicine. Artificial Intelligence (AI) has recently been introduced into the doctor-patient relationship, allowing online doctors like WebDoctors to do basic repetitive healthcare chores. AI has shown unequaled potential in many facets of virtual healthcare delivery, from gathering patient data to randomly shifting health information in a waiting room. Many types of research have been undertaken to investigate the safety of process automation in medical care in a haste to appropriately integrate Artificial Intelligence with current medicine.

Telepathology, teleradiology, teledermatology, and telepsychiatry were formally acknowledged as AI-assisted telehealth services in the most recent World Health Organization worldwide eHealth observatory study. This comes at a time when several health regulatory authorities are preparing to allow Artificial Intelligence to be used in patient treatment. The FDA awarded a De Novo clearance for the marketing of AI-assisted cardiac ultrasonography software in February 2020. This guiding tool, created by Caption Health, assists medical professionals in producing high-quality ultrasound images in diagnostic tests.

Many licensed software programs are now studying the evolution of Artificial Intelligence to aid in the improvement of medical treatment. Patients' vital signs can now be measured and recorded in the comfort of their own homes using wearable gadgets. Many smartphone apps have also been created to assist in the management of personal health records, on-demand minor case diagnosis, and the recommendation of nutritional options appropriate for a patient's medical condition.

Telemedicine and Artificial Intelligence

By providing remote patient care, online doctor services help to drive the digitization of healthcare. Telemedicine, as a fast evolving healthcare delivery technology, saves time, relieves medical practitioners of their duties, and relieves patients of the stress of traveling vast distances to receive medical care. Online doctor services may now conduct virtual consultation sessions, perform diagnostic tests, issue an online prescription, and adopt a therapy monitoring plan thanks to the integration of digital technology and medicine.

Artificial Intelligence (AI) in modern medicine will undoubtedly broaden the scope of telemedicine. The volume of health data collected by individual individuals, healthcare professionals, and medical institutions has increased exponentially in the last few years. Personal records, clinical reviews, and medical practice advances are examples of data sources. Artificial Intelligence is expected to greatly enhance the real-time integration of all of these data into modern medicine in order to advance healthcare.

The Importance of "AI" in Telemedicine

1 – Medical Condition Tele-Diagnosis

Evidence-based processes that rely on the doctor's objective assessment of the presenting symptoms are quickly replacing clinical-examination-based processes in clinical diagnosis. Advances in Artificial Intelligence (process automation) and telemedicine are supporting this single transition (digital technology). Artificial Intelligence can establish a unique cloud storage of data by remotely generating and storing diagnostic images and vital signs from distinct individuals suffering from a medical illness. To accurately conduct a remote diagnosis, this storage can be compared with data from a fresh patient.

A study using deep neural networks to classify skin cancer at the dermatologist level was reported in Nature in 2017. The goal of this study is to use AI to do automated skin lesion classification utilizing diagnostic photos and machine learning. The findings imply that the AI systems designed for this purpose performed similarly to dermatologists, demonstrating artificial intelligence capable of classifying skin cancer at a dermatologist's level of expertise.

2 - Patient Monitoring via the Internet

In medical treatment, patient monitoring is a continual procedure. It's crucial for following illness progression, analyzing therapy response, and determining whether or not therapy has to be changed. For years, online doctor services have used improved audio-visual technology to investigate telemedicine in remote patient monitoring plans. Artificial Intelligence is a powerful tool for improving telemedicine standards in remote patient monitoring. Telepresence Robots — a remote-controlled robot-aided monitoring system gathering real-time data on patient response to therapy – were the first application of Artificial Intelligence in remote patient monitoring.

Artificial intelligence has also aided the development of smartphone applications and wearable gadgets that transfer clinical data from patients to doctors via a simple Wi-Fi connection. Based on data comparisons, researchers are working on an AI-assisted monitoring system that can accurately identify the need for therapy change. Without a doubt, this technology will increase adherence, ongoing clinical monitoring, and therapy outcomes.

3 – Programs for the Care of the Elderly

According to UN data on World Population Ageing, the worldwide population of people aged 65 and up is expanding at a greater rate than other age groups. In 2018, this group outnumbered youngsters under the age of five around the world. Globally, the population of adults aged 80 is expected to reach 426 million by 2050. This data suggests that, in the not-too-distant future, a more effective healthcare system will be required to meet the needs of the world's rapidly aging population. The most practical alternative for providing remote healthcare for this demographic is to integrate Artificial Intelligence into telemedicine and online medical services.

4 – Management of Health Information

Artificial Intelligence can automate activities such as clinical data collection, medication management, and medical record analysis. Accurate health information management is a critical component of remote healthcare delivery (Telemedicine). Artificial Intelligence helps the medical team assess the incidence of sickness in a region, notify a medical institution to a developing unique disease, and help physicians compare the outcomes of medical procedures, among other things.

An automated software prompt in medicine management can reliably remind the patient of drug dosage per time and increase medication adherence. Artificial Intelligence's advantages in health information management are virtually endless. Although the combination of AI and telemedicine is still in its early stages, the stage is set for advancement in global healthcare indices once it is completely realized.