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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
AI is already widespread in health care. Algorithms are used to predict patients' risk of death or deterioration, to suggest diagnoses or triage patients, to record and summarize visits to save ...
The documents address ethics, assessment/evaluation, handling, and regulation of AI for health solutions, covering specific use cases including AI in ophthalmology, histopathology, dentistry, malaria detection, radiology, symptom checker applications, etc. FG-AI4H has established an ad hoc group concerned with digital technologies for health ...
Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]
In the healthcare industry, health informatics has provided such technological solutions as telemedicine, surgical robots, electronic health records (EHR), Picture Archiving and Communication Systems (PACS), and decision support, artificial intelligence, and machine learning innovations including IBM's Watson and Google's DeepMind platform.
The use of electronic and communication technologies as a therapeutic aid to healthcare practices is commonly referred to as telemedicine [1] or eHealth. [2] [3] [4] The use of such technologies as a supplement to mainstream therapies for mental disorders is an emerging mental health treatment field which, it is argued, could improve the accessibility, effectiveness and affordability of mental ...
The company provides artificial intelligence software to automate the interpretation of medical images. [7] The intended use is in conjunction with handheld, point-of-care lung ultrasound technology which the company purports can enable healthcare providers to diagnose various lung conditions with speed, accuracy, and objectivity. [8]
The Entrez Global Query Cross-Database Search System is used at NCBI for all the major databases such as Nucleotide and Protein Sequences, Protein Structures, PubMed, Taxonomy, Complete Genomes, OMIM, and several others. [9] Entrez is both an indexing and retrieval system having data from various sources for biomedical research.
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