Artificial intelligence in healthcare: A focus on the best practices DOI Creative Commons
I. Haddiya,

Sara Ramdani

ITM Web of Conferences, Год журнала: 2024, Номер 69, С. 02010 - 02010

Опубликована: Янв. 1, 2024

The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, improved access to information through virtual assistants. However, alongside this potential, challenges ethical considerations remain. Data privacy, algorithmic bias, transparency decision-making, responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance establishing robust best practices within institutions fostering collaboration among clinicians, data scientists, patients, policymakers. Through consideration ongoing refinement technologies, we can leverage its potential improve outcomes while upholding standards public health priorities.

Язык: Английский

The Future of Diabetes Management DOI

M. Hassan

Advances in healthcare information systems and administration book series, Год журнала: 2025, Номер unknown, С. 383 - 424

Опубликована: Янв. 17, 2025

The rise of digital medical tourism in diabetes care represents a transformative shift how patients manage their condition, leveraging technology to enhance accessibility and personalization. Diabetes poses significant global health challenge, affecting millions leading severe complications if left untreated. integration patient-centered with technologies, including artificial intelligence (AI), holds immense promise for revolutionizing management. Digital allows seek specialized across borders, often countries where treatment is more affordable or advanced. AI-powered tools can analyze patient data recommend personalized plans suitable healthcare providers. Virtual consultations enabled by AI telemedicine significantly reduce the need physical travel, thereby expanding scope tourism. However, it crucial establish robust regulatory frameworks ethical guidelines ensure responsible development deployment these technologies.

Язык: Английский

Процитировано

0

The Frontiers of Smart Healthcare Systems DOI Open Access
Nan Lin, Rudy Paul,

Sabine Christopher Guerra

и другие.

Healthcare, Год журнала: 2024, Номер 12(23), С. 2330 - 2330

Опубликована: Ноя. 21, 2024

Artificial Intelligence (AI) is poised to revolutionize numerous aspects of human life, with healthcare among the most critical fields set benefit from this transformation. Medicine remains one challenging, expensive, and impactful sectors, challenges such as information retrieval, data organization, diagnostic accuracy, cost reduction. AI uniquely suited address these challenges, ultimately improving quality life reducing costs for patients worldwide. Despite its potential, adoption in has been slower compared other industries, highlighting need understand specific obstacles hindering progress. This review identifies current shortcomings explores possibilities, realities, frontiers provide a roadmap future advancements.

Язык: Английский

Процитировано

1

Artificial intelligence in healthcare: A focus on the best practices DOI Creative Commons
I. Haddiya,

Sara Ramdani

ITM Web of Conferences, Год журнала: 2024, Номер 69, С. 02010 - 02010

Опубликована: Янв. 1, 2024

The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, improved access to information through virtual assistants. However, alongside this potential, challenges ethical considerations remain. Data privacy, algorithmic bias, transparency decision-making, responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance establishing robust best practices within institutions fostering collaboration among clinicians, data scientists, patients, policymakers. Through consideration ongoing refinement technologies, we can leverage its potential improve outcomes while upholding standards public health priorities.

Язык: Английский

Процитировано

0