COVID‐19 and artificial intelligence: Experts and dermatologists perspective

Abstract

Introduction Artificial intelligence (AI) has an important role to play in future healthcare offerings. Machine learning and artificial neural networks are subsets of AI that refer to the incorporation of human intelligence into computers to think and behave like humans. Objective The objective of this review article is to discuss perspectives on the AI in relation to Coronavirus disease (COVID‐19). Methods Google Scholar and PubMed databases were searched to retrieve articles related to COVID‐19 and AI. The current evidence is analysed and perspectives on the usefulness of AI in COVID‐19 is discussed. Results The coronavirus pandemic has rendered the entire world immobile, crashing economies, industries, and health care. Telemedicine or tele‐dermatology for dermatologists has become one of the most common solutions to tackle this crisis while adhering to social distancing for consultations. While it has not yet achieved its full potential, AI is being used to combat coronavirus disease on multiple fronts. AI has made its impact in predicting disease onset by issuing early warnings and alerts, monitoring, forecasting the spread of disease and supporting therapy. In addition, AI has helped us to build a model of a virtual protein structure and has played a role in teaching as well as social control. Conclusion Full potential of AI is yet to be realized. Expert data collection, analysis, and implementation are needed to improve this advancement.

Use of Artificial Intelligence in Public Health

“…The global reaction to the pandemic was influenced by BlueDot's early warnings to public health personnel about the COVID-19 outbreak that occurred in Wuhan, China, towards the end of 2019. 19 Another AI-driven epidemiological information surveillance system in the United States is called "HealthMap." Based on time, geographic location , and infectious pathogens, it monitors, organizes, and visualizes disease outbreaks.…”

The Artificial Intelligence in Teledermatology: A Narrative Review on Opportunities, Perspectives, and Bottlenecks

“…In this specific case, it can be observed that the selected reviews did not have the specific task of addressing the development of the integration of TD and AI jointly, which we find were handled as a non-primary sub-research topic. Taking this into account, it is reported that: four reviews addressed the issue by relating it to the impact of the COVID-19 epidemic [42][43][44]46], also with specific reference to some national realities [46]. Some studies have focused on specific pathologies, such as melanoma [47], psoriasis [45], or occupational medicine [54].…”

“…The role of technological innovation in various sectors of healthcare during the COVID-19 pandemic, including dermatology, was highlighted. The review reported that technology had enabled the sharing and rapid detection of cutaneous signs and symptoms of COVID-19, resulting in reduced face-to-face visits and cost and time savings [44] The development of AI during the COVID-19 pandemic with reference to dermatology was addressed. Research showed that the use of TD and AI was strategic to discern six clinical dermatological patterns with a probable prognostic connection to COVID-19.…”

Ten Years of TeleHealth and Digital Healthcare: Where Are We?

“…TH and DH have also been integrated in the use of artificial AI tools in the diagnosis and treatment of COVID-19. Digital radiology, digital pathology, and digital dermatology, as brief examples, have explored new potential in health care [ 49 , 50 , 51 ]. Big Data have played a strategic role in overcoming the pandemic [ 52 ].…”