Artificial intelligence in medicine : present and future

Artificial intelligence (AI) promises a significant transformation of health care in all medical areas, which could represent "Gutenberg moment" for medicine. The future of medical specialties came largely from human interaction and creativity, forcing physicians to evolve and use AI as a tool in patient care. AI will offer patients safety, autonomy, and access to timely medical care in hard-to-reach areas while reducing administrative burden, screen time, and professional burnout for physicians. AI will also make it possible to reduce the frequency of medical errors and improve diagnostic accuracy through the integration, analysis, and interpretation of information by algorithms and software. The safety of repetitive activities will free up time for health personnel and will enhance the doctor-patient relationship, return to personalized attention and interaction with the patient, through accompaniment, communication, empathy, and trust during illness, activities that will never be replaced by AI. It is still necessary to standardize research in the area, which allows improving the quality of scientific evidence knowing its advantages and risks, accelerating its implementation in current medical practice.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:158

Enthalten in:

Gaceta medica de Mexico - 158(2022), Suplement 1 vom: 15. Dez., Seite 17-21

Sprache:

Spanisch

Weiterer Titel:

Inteligencia artificial en medicina: presente y futuro

Beteiligte Personen:

Lanzagorta-Ortega, Dioselina [VerfasserIn]
Carrillo-Pérez, Diego L [VerfasserIn]
Carrillo-Esper, Raúl [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
English Abstract
Journal Article
Medical education
Medical errors
Patient care
Precision medicine

Anmerkungen:

Date Completed 20.03.2023

Date Revised 20.03.2023

published: Electronic

Citation Status MEDLINE

doi:

10.24875/GMM.M22000688

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM354267507