How powerful is Metaverse in the medical field? The technological innovations carried out by Metaverse are quietly promoting a subversive reform of the medical industry.

Metaverse is an emerging ecosystem that integrates the three major technologies of XR (AR/VR/MR), Web 3.0 and blockchain data encryption, and the Metaverse platform, together with the mutual integration of user group behavior and data. Benefiting from the spatial isolation limitations of the Xinguan epidemic, the traditionally conservative and stringent healthcare environment is looking for a solution to reduce the risk of contact with infections, and opens up the opportunity for the innovation of metaverse technology-driven clinical solutions. The new technology will open up innovative opportunities for clinical solutions driven by meta-universe technology.

Metaverse in Clinical Solutions7oldestApplication Trends

Metaverse's applications in the medical and healthcare field include clinical surgical navigation, medical robotics, medical teaching, drug and medical device development, medical imaging and pathology diagnosis, and AI doctors.

(1) Clinical Surgical Navigation: Through VR and AR technology to realize 360-degree realistic imaging of the patient's internal anatomical structure, applied to pre-operative simulation, surgical planning and intra-operative assistance.

(2) Medical robots: VR, human-computer interaction, and AI are applied to treatment to solve bottlenecks in rehabilitation, brain and mental diseases.

(3) Drug and medical device R&D: AI artificial intelligence, big data, AR and other technologies are applied to drug R&D and medical device R&D and creation to shorten the R&D time and cost, and achieve the benefits of lowering the cost and increasing the efficacy of drugs and devices.

(4) Medical teaching: Based on 5G network speed, VR and AR technology can provide 360-degree view of patient's disease, which is not limited by time and space, and can be used for medical learning, nursing training, patient hygiene and clinical operation training such as surgical training.

(5) AI doctor: Based on big data and AI technology, it can carry out case health management, remote medical consultation, remote condition monitoring and remote chronic disease management, as well as intelligent diagnosis and prediction of diseases.

(6) Medical Imaging Pathology Diagnosis: Digital pathology image AI diagnosis, 3D stereo image, reconstructing the tissue structure model, assisting doctors in the diagnosis of diseases.

(7) Rehabilitation training: Psychological rehabilitation training and physical rehabilitation training.