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I'm a doctor specialized on Internal Medicine, working in the Emergency Department of a big public hospital in Vigo (Galicia, Spain). I'm interested on new technologies, eHealth, leadership and clinical management. I lead some research projects using BigData to analyse clinical processes.

Presenter of 1 Presentation

ARTIFICIAL INTELLIGENCE USES IN MEDICINE OF THE NOT-SO-DISTANT FUTURE.

Date
09.07.2021, Friday
Session Time
10:30 AM - 12:00 PM
Room
Hall 5
Lecture Time
11:03 AM - 11:14 AM
Session Icon
Pre-Recorded with Live Q&A

Abstract

Abstract Body

Background:

The future of clinical care will be shaped by the introduction of artificial intelligence (AI) into the workflow of general practitioners (GPs). Digital competencies will be fundamental to develop an Exponential Medicine that could help to improve care quality and patient safety. Understanding the importance of clinical data management and its applications could enhance medical performance.

Aim and learning objectives:

To learn the overview of the application of AI in clinical practice, introducing concepts and specific terms related to this topic.

Methods and timetable:

60 minutes version:

5 min: Team presentation.

25 min: Introduction to eHealth and Artificial Intelligence. Concepts: data quality. Interoperability. Medical ontologies. BigData analysis. Clinical Decisions Support Systems. Exponential and Personalized Medicine. Bioethics, challenges and opportunities of AI for healthcare. Clinical research in times of AI.

25 min: Interactive exercises. Brainstorming. Digital competencies for physicians in times of AI.

5 min: Take-Home messages.

The 90-minute version is possible by dedicating 30 minutes to degreasing the topics of "Bioethics, challenges and opportunities of AI for healthcare" and "Clinical research in times of AI", 15 minutes each.

Proposed results:

To develop digital competencies and skills of Family Doctors.

To understand the role of AI in different steps of clinical care and clinical research.

To raise awareness of the importance of AI-based tools to power clinical care.

To inspire innovation based on AI-based tools to improve clinical care.

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