What is the impact of Artificial Intelligence in the healthcare industry?

With the advent of artificial intelligence, the world has undergone radical changes in every field, and the combination of AI + healthcare has become increasingly close. Artificial intelligence (AI) plays an important role in healthcare and can significantly reduce costs, increase efficiency, improve care and ignite new hope for the healthcare industry. This will be the main driver of AI in the healthcare industry.

Medical Imaging. The application of artificial intelligence technology in medical imaging mainly refers to the rapid reading and intelligent diagnosis of medical images through computer vision technology, which is rooted in medical data collected in traditional medical means to automatically identify clinical variables and indicators of patients, while combining relevant medical knowledge to provide doctors with auxiliary medical work in pathological diagnosis and medical image identification, and to provide patients with reference to treatment methods.

New drug development. Artificial intelligence (AI) technologies are emerging in the field of new drug development, particularly the use of machine learning (ML) and deep learning (DL) algorithms to improve the drug development process. AI techniques are used to identify and optimize candidate compounds to have the desired pharmacological properties. The use of AI algorithms can shorten the development process, which would otherwise take years, to just a few months.

Surgical robots. The use of robots for surgical procedures has become increasingly popular, with robots successfully performing 20,000 surgical procedures ranging from prostate removal to cardiac surgery in the United States in 2004 alone. Many large hospitals are now applying artificial intelligence technology to surgery, making it easier and more precise for doctors to analyze patients and treat them surgically by using data-based and 3D technology to turn traditional two-dimensional image information into three dimensions. Surgical robots can greatly improve the accuracy of surgery, reduce surgical trauma and side effects, and can speed up post-surgical recovery and reduce the cost of surgery for patients.

Rehabilitation robots. Rehabilitation robots, a combination of industrial and medical robots, are one of the most successful low-cost rehabilitation robotic systems in the world. Today some medical rehabilitation robots, such as minimally invasive surgical robots, spine surgery robots, vascular intervention robots, limb function rehabilitation robots, intelligent prostheses, exoskeleton assisted robots, etc., have already been applied to clinical applications or have the technical conditions and foundation for clinical applications. Many clinical trials have shown that rehabilitation robots can help long-term paralyzed stroke patients to restore their own active control of their limbs to a certain extent. Patients can perform accurate and repetitive motor exercises on the affected side of the limb with the help of rehabilitation robots, thereby accelerating the process of motor function rehabilitation.

The development of artificial intelligence technology is built on the basis of big data, and its commercial implementation is naturally inseparable from the support of big data. The huge data characteristics of the medical information industry make it a natural advantage to combine with artificial intelligence. According to IBM’s judgment, in 2020, medical data will double every 73 days. Medical data can be divided into four main categories according to the source: First, the data of medical institutions. Medical institutions generate massive amounts of data every year, and general medical institutions generate 1~20TB of relevant data every year, and the annual medical data of individual large-scale hospitals even reach the petabyte level. Second, genetic and clinical trial data. The accumulation of a large amount of genetic data and clinical trial data promotes the deepening of human understanding of the mapping relationship between diseases and genes, and makes precision medicine and telemedicine possible for individual patients; third, patient data. The data generated by the patient’s own behavior and senses outside the hospital, mainly including wearable devices, data collected by various online light medical platforms, health management data of physical signs, online behavior data (such as registration and consultation, online drug purchase, health management, doctor-patient patient communication, etc.), etc.; fourth, health insurance and payment data. Everything related to payers’ audit/reimbursement records, mainly including patients’ payment records, reimbursement records, medicine circulation records, etc. Various medical and health data provide strong support for the application of AI technology in the medical and health industry.

As AI + healthcare becomes more and more closely integrated, artificial intelligence (AI) plays a certain important role in healthcare, which can significantly reduce costs, increase efficiency, improve healthcare, and ignite new hope for the healthcare industry, which will be the main driver of AI in healthcare. Specific applications of AI in healthcare include insight and risk management, medical research, medical imaging and diagnosis, lifestyle management and monitoring, mental health, nursing, emergency room and hospital management, drug discovery, virtual assistants, wearables, and others. In summary, the current application of AI technology in the medical field is focused on five areas: medical robotics, intelligent drug development, intelligent diagnosis and treatment, intelligent image recognition, and intelligent health management.

At present, the AI technology of Wisdom Eye Technology Co., Ltd (referred to as Wisdom Eye) is mainly applied in two fields: intelligent diagnosis and treatment and intelligent health management. After years of accumulation, Wisdom Eye has built a “3+X” digital health product system, which includes an AI intelligent brain, a medical knowledge map database, an AI-assisted diagnosis and treatment platform, and multiple application scenarios. “AI+Medicare” is applied in the fields of medical insurance fund supervision, payment settlement and anti-fraud; it builds a medical SAAS service platform based on medical knowledge mapping and assisted decision-making to help medical institutions transform from informationization to intelligence and connect doctors and patients; it provides health management services for patients through AI+Health Knowledge Mapping. Realize the whole life cycle health management of patients inside and outside the hospital, bring intelligent medical and health services to every corner of the city and countryside, and guard the life and health of the public.

In the future, AI will play an important role in driving change and improvement in all aspects of the healthcare system through quality improvement, cost reduction and gain, and model innovation. But new medical technology in many ways will not replace medical workers, after all, the hearts of doctors, this point machine can never replace.

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