首页|University College Reports Findings in Artificial Intelligence (Artificial intel ligence and endo-histo-omics: new dimensions of precision endoscopy and histolog y in inflammatory bowel disease)

University College Reports Findings in Artificial Intelligence (Artificial intel ligence and endo-histo-omics: new dimensions of precision endoscopy and histolog y in inflammatory bowel disease)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Cork, Ireland, by NewsRx editors, research stated, "Integrating artificial intelligence into in flammatory bowel disease (IBD) has the potential to revolutionise clinical pract ice and research. Artificial intelligence harnesses advanced algorithms to deliv er accurate assessments of IBD endoscopy and histology, offering precise evaluat ions of disease activity, standardised scoring, and outcome prediction." Our news journalists obtained a quote from the research from University College, "Furthermore, artificial intelligence offers the potential for a holistic endo- histo-omics approach by interlacing and harmonising endoscopy, histology, and om ics data towards precision medicine. The emerging applications of artificial int elligence could pave the way for personalised medicine in IBD, offering patient stratification for the most beneficial therapy with minimal risk. Although artif icial intelligence holds promise, challenges remain, including data quality, sta ndardisation, reproducibility, scarcity of randomised controlled trials, clinica l implementation, ethical concerns, legal liability, and regulatory issues."

CorkIrelandEuropeArtificial Intell igenceBowel Diseases and ConditionsDigestive System Diseases and ConditionsEmerging TechnologiesEndoscopyGastroenteritisGastrointestinal Diseases an d ConditionsHealth and MedicineHistologyInflammatory Bowel DiseaseMachin e LearningMinimally Invasive Surgical ProceduresSurgery

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.30)