In light of the rapid developments in the field of artificial intelligence, the health sector is witnessing an unprecedented digital revolution that reshapes the methods of diagnosis, treatment and health care management. Artificial intelligence applications have become able to provide innovative solutions to the chronic challenges facing this sector, such as work pressure on doctors, the complexity of administrative procedures, and the need for more accuracy in diagnosis and duration.
During the past few weeks, a group of innovations that embodies the enormous potential for artificial intelligence in medicine, whether through automation of routine tasks, promoting diagnostic efficiency, accelerating scientific research, or expanding access to high -quality health care. Below is a presentation of the most prominent of these applications developed by leading companies and institutions, which represents a qualitative shift in the future of artificially backed health care.
Ambience: Ambience uses artificial intelligence to immediately create medical notes while doctors register their visits with patients with their approval. The company used tools from Openai to build the new model. Ambience compete in a very competitive market that has flourished in light of the health care sector managers for solutions to reduce professional fatigue and increased administrative burden. The new model of Ambience can listen to doctors’ interactions with patients and identify ICD-10 symbols, which are international standardized diseases and medical conditions. There are about 70,000 ICD-10 code that are updated regularly and used to facilitate billing and other reports in the health sector. Ambience mentioned that its new model can reduce billing errors and help doctors and professional medical programmers to work higher, and the model achieved a “relative improvement of 27% compared to the standards of doctors’ performance.
– City of Hope: City of Hope, a national cancer treatment center, designed, scrutinized and improved a gym, depends on its extensive data in the field of tumors and its specialized experience. Obstetrician dedicated based on individual patient records, and extracts real data for scientific research purposes. Hopellm enhances patients and care service providers, speeds up pioneering research, and expands the scope of access to global cancerous care, contributing to saving lives.
– Microsoft: Microsoft has unveiled an artificial intelligence system that shows a better performance than human doctors in complex health diagnoses, describing it as a “path towards super medical intelligence.” Diagnostic. As for the doctors who were experienced in the same cases – without referring to colleagues, books, or robots – their success rate was only two cases of 10. This development opens the way for a radical change in the health care market. While the term general artificial intelligence (AGI) indicates systems that comply with human cognitive capabilities, “super intelligence” is used to indicate systems that exceed human mental performance in all fields.
– Alpha Genome: The Google Deepmind team in London has developed an artificial intelligence model that can help scientists understand the so -called “dark matter” in the genome, and know how it can affect diseases such as cancer and interpret their role in the mechanism of cells. With multiple properties, such as genetic expression levels and how these levels can be affected by mutations. Understanding DNA functions is more difficult than determining the 3D shape, as in the alphafold model, because one series of DNA may have multiple and interconnected roles – from attracting certain cellular machines to stick to a part of the chromosome and convert the near gene to the RNA molecule, to attracting Protein copy factors control Matthew and where and at what level is the gene to be expressed.
