Literature DB >> 32511846

Artificial intelligence in diagnosis and management of COVID-19 in dermatology.

Roxanna Sadoughifar1, Mohamad Goldust1,2, Hormoz Abdshahzadeh3, Reyhaneh Abrishamchi3, Lidia Rudnicka4, Mohammad Jafferany5, Mrinal Gupta6.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32511846      PMCID: PMC7300453          DOI: 10.1111/dth.13794

Source DB:  PubMed          Journal:  Dermatol Ther        ISSN: 1396-0296            Impact factor:   3.858


× No keyword cloud information.
Dear Editor, Artificial intelligence (AI) has been defined as “the field of science encompassing the computational understanding of intelligent behavioral patterns, and the development of models which exhibit similar behavior.” In the world of medicine, AI has a significant role and is being used to provide an aid to the clinician in reaching a diagnosis and predicting the outcome. It is particularly useful in settings where health care infrastructure in terms of manpower is inadequate. New coronavirus (COVID‐19) has spread rapidly throughout the world leading to more than 350 000 deaths and World Health Organization has declared it a global pandemic. , , , AI is being used by the health care workers in different aspects of COVID‐19 management. AI is helping the health care professionals in understanding the transmission and high‐risk populations; establishing the natural course of COVID‐19, incubation period, the estimated mortality rate; identification and characterization of the causative virus; and in planning effective prevention and control measures. , , Researchers used AI for real‐time forecasting of COVID‐19 for estimating the size, duration, and expected time of end of COVID‐19 in China and were able to forecast its trajectory across different regions, which was useful in public health planning and policy making. AI has been used for diagnostic purposes where AI has been used to detect lesions of COVID‐19 pneumonia and assess its shape and density. AI comes in handy by lowering the burden on physicians and in early diagnosis as polymerase chain reaction (PCR) based diagnostic tests take a long time. AI has recently been incorporated in dermatology practice by researchers and clinicians where AI‐based software programs have been used for diagnosing various dermatoses. The efficacy of the diagnostic techniques becomes important in the specialty of dermatology as COVID‐19 has been seen to present with a wide variety of dermatological manifestations ranging from perniosis like lesions, vesicular rash, petechial lesions, and vascultic rash, which may present a diagnostic difficulty for the dermatologist. AI‐based diagnostic tools can be useful in the early diagnosis of COVID‐19 cases who present mainly with dermatological manifestations and may present a diagnostic problem for the attending health care worker or the dermatologist. AI will play a major role in this pandemic and its utility will shape the course of any similar event in future. The dermatology‐based AI tools can be incorporated among the initial screening measures for COVID‐19 as it will broaden the spectrum of clinical manifestations and will be helpful in screening out more patients who might have been missed by the conventional screening methods. The early diagnosis and management of COVID‐19 patients is pivotal for reduction of disease spread and for flattening of the curve.

CONFLICT OF INTEREST

The authors declare no conflicts of interest.
  8 in total

Review 1.  Artificial intelligence in medicine.

Authors:  A N Ramesh; C Kambhampati; J R T Monson; P J Drew
Journal:  Ann R Coll Surg Engl       Date:  2004-09       Impact factor: 1.891

2.  Mental health status of dermatologists during the COVID-19 pandemic: A technology-based therapy.

Authors:  Mohamad Goldust; Komal Agarwal; George Kroumpouzos; Mohammad Jafferany; Torello Lotti; Indrashis Podder
Journal:  Dermatol Ther       Date:  2020-06-19       Impact factor: 3.858

Review 3.  Psoriatic arthritis and COVID-19 pandemic: Consequences in medical treatment?

Authors:  Uwe Wollina; Massimo Fioranelli; Mohamad Goldust; Torello Lotti
Journal:  Dermatol Ther       Date:  2020-06-30       Impact factor: 3.858

4.  Covid-19 infection in psoriasis patients treated with cyclosporin.

Authors:  Vito Di Lernia; Mohamad Goldust; Claudio Feliciani
Journal:  Dermatol Ther       Date:  2020-06-24       Impact factor: 3.858

5.  A dermatologist's perspective of the COVID-19 outbreak.

Authors:  Dedee F Murrell; Gulhima Arora; Lidia Rudnicka; Martin Kassir; Torello Lotti; Mohamad Goldust
Journal:  Dermatol Ther       Date:  2020-06-23       Impact factor: 3.858

6.  Will teledermatology be the silver lining during and after COVID-19?

Authors:  Aseem Sharma; Veenu Jindal; Palvi Singla; Mohamad Goldust; Madhulika Mhatre
Journal:  Dermatol Ther       Date:  2020-06-04       Impact factor: 3.858

7.  COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread.

Authors:  Becky McCall
Journal:  Lancet Digit Health       Date:  2020-02-20

8.  COVID-19 and economy.

Authors:  Mrinal Gupta; Ayman Abdelmaksoud; Mohammad Jafferany; Torello Lotti; Roxanna Sadoughifar; Mohamad Goldust
Journal:  Dermatol Ther       Date:  2020-04-08       Impact factor: 3.858

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.