Abstract

Artificial Intelligence (AI) is a fleetly arising technology in healthcare that has the implicit to revolutionise clinical nutrition. AI can help in analysing complex data, interpreting medical images, and furnishing personalised nutrition interventions for cases. Clinical nutrition is a critical aspect of patient care, and AI can help clinicians make further informed opinions regarding cases’ nutritive conditions, complaint forestalment, and operation. AI algorithms can assay large datasets to identify novel associations between diet and complaint issues, enabling clinicians to make substantiation- grounded nutritive recommendations. AI- powered bias and operations can also help in tracking salutary input, furnishing feedback, and motivating cases towards healthier food choices. Nutrition support brigades (NSTs) and clinical nutrition professionals (CNPs) have evolved over the times in response to changes in technology, healthcare terrain, healthcare backing, and more. The legal position regarding the provision of CANH varies between countries and countries; still, all clinicians have a moral and professional responsibility to act within the principles of medical ethics and respect cases' wishes, accepting that cases don't have the right to gain every treatment they wish or request if the treatment isn't medically indicated

Keywords: Anorexia; Cachexia; Cancer; Chemotherapy; Malnutrition; Radiotherapy