Acceptability of artificial intelligence among Indian dermatologists

Pangti, Rashi; Gupta, Sanjeev; Gupta, Praanjal; Dixit, Ambika; Sati, Hem Chandra; Gupta, Surabhi

doi:10.25259/ijdvl_210_2021

Cited by 6 publications

(8 citation statements)

References 6 publications

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“…Medical students also felt that they mainly heard about AI from media and colleagues, but received minimal training from their schools ( 18 , 30 ). Accordingly, 15 studies suggested an urgent need to integrate AI into residency programs or school curricula ( 17 – 19 , 21 , 29 – 33 , 38 , 41 , 45 , 49 – 51 ). Our questionnaire appears to confirm this situation with few respondents having good knowledge of AI (13% agreement).…”

Section: Resultsmentioning

confidence: 99%

“…Similar positive opinions also existed among radiologists ( 22 , 23 , 25 , 29 , 33 , 39 , 47 , 48 , 53 , 55 , 61 ), gastroenterologists ( 24 , 35 ), general practitioners ( 28 , 62 ), psychiatrists ( 59 , 63 ), ophthalmologists ( 23 , 50 ). Additionally, in 14 studies reporting use intentionality, more than 60% respondents in 10 (71.43%) studies were willing to incorporate AI into their clinical practice ( 17 , 21 , 26 , 34 , 36 , 44 , 49 , 55 , 56 , 61 ). The perceived benefits of AI included promoting workflow efficiency, quality assurance, improving standardization in the interpretation of results, as well as liberating doctors from mundane tasks and providing more time to expand their medical knowledge and focus on interacting with patients ( 11 , 22 , 35 , 50 , 64 ).…”

Section: Resultsmentioning

confidence: 99%

“…Multiple challenges were emphasized in the development and implementation of clinical AI, including an absence of ethically defensible laws and policies ( 11 , 33 , 49 , 55 , 57 , 59 ), ambiguous medico-legal responsibility for errors made by AI ( 11 , 22 – 24 , 37 , 48 , 57 ), data security and the risk of privacy disclosure ( 35 , 40 , 54 , 69 ), “black box” nature of AI algorithms ( 57 , 70 ), low availability of high-quality datasets for training and validation ( 57 ), and shortage of interdisciplinary talents ( 11 ). Among the respondents in our survey, the lack of interdisciplinary talents was the primary concern, followed by an absence of regulatory standards and a scarcity in high-quality data for AI training ( Figure 4C ).…”

Section: Resultsmentioning

confidence: 99%

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Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

Chen

Zhang²,

Cai³

et al. 2022

Front. Med.

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BackgroundArtificial intelligence (AI) needs to be accepted and understood by physicians and medical students, but few have systematically assessed their attitudes. We investigated clinical AI acceptance among physicians and medical students around the world to provide implementation guidance.Materials and methodsWe conducted a two-stage study, involving a foundational systematic review of physician and medical student acceptance of clinical AI. This enabled us to design a suitable web-based questionnaire which was then distributed among practitioners and trainees around the world.ResultsSixty studies were included in this systematic review, and 758 respondents from 39 countries completed the online questionnaire. Five (62.50%) of eight studies reported 65% or higher awareness regarding the application of clinical AI. Although, only 10–30% had actually used AI and 26 (74.28%) of 35 studies suggested there was a lack of AI knowledge. Our questionnaire uncovered 38% awareness rate and 20% utility rate of clinical AI, although 53% lacked basic knowledge of clinical AI. Forty-five studies mentioned attitudes toward clinical AI, and over 60% from 38 (84.44%) studies were positive about AI, although they were also concerned about the potential for unpredictable, incorrect results. Seventy-seven percent were optimistic about the prospect of clinical AI. The support rate for the statement that AI could replace physicians ranged from 6 to 78% across 40 studies which mentioned this topic. Five studies recommended that efforts should be made to increase collaboration. Our questionnaire showed 68% disagreed that AI would become a surrogate physician, but believed it should assist in clinical decision-making. Participants with different identities, experience and from different countries hold similar but subtly different attitudes.ConclusionMost physicians and medical students appear aware of the increasing application of clinical AI, but lack practical experience and related knowledge. Overall, participants have positive but reserved attitudes about AI. In spite of the mixed opinions around clinical AI becoming a surrogate physician, there was a consensus that collaborations between the two should be strengthened. Further education should be conducted to alleviate anxieties associated with change and adopting new technologies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

Chen

Zhang²,

Cai³

et al. 2022

Front. Med.

View full text Add to dashboard Cite

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“…Opinion surveys are important tools in assessing satisfaction with a particular service and consist of a list of questions whose objective is to extract certain data from a group of people [8]. Previous studies on the acceptance of the use of AI in medicine were limited to specific areas, such as radiology [5,[9][10][11], dermatology [1,[12][13][14], and ophthalmology [15][16][17], as well as to specific countries. However, at the time of writing, we were unable to find studies exploring this subject among Brazilian physicians, and there are very few studies in Latin America, leaving a gap in this part of the globe.…”

Section: Introductionmentioning

confidence: 99%

Medical Expectations of Physicians on AI Solutions in Daily Practice: Cross-Sectional Survey Study

Giavina-Bianchi,

Amaro Jr,

Machado

2024

JMIRx Med

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Background The use of artificial intelligence (AI) in medicine has been a trending subject in the past few years. Although not frequently used in daily practice yet, it brings along many expectations, doubts, and fears for physicians. Surveys can be used to help understand this situation. Objective This study aimed to explore the degree of knowledge, expectations, and fears on possible AI use by physicians in daily practice, according to sex and time since graduation. Methods An electronic survey was sent to physicians of a large hospital in Brazil, from August to September 2022. Results A total of 164 physicians responded to our survey. Overall, 54.3% (89/164) of physicians considered themselves to have an intermediate knowledge of AI, and 78.5% (128/163) believed that AI should be regulated by a governmental agency. If AI solutions were reliable, fast, and available, 77.9% (127/163) intended to frequently or always use AI for diagnosis (143/164, 87.2%), management (140/164, 85.4%), or exams interpretation (150/164, 91.5%), but their approvals for AI when used by other health professionals (85/163, 52.1%) or directly by patients (82/162, 50.6%) were not as high. The main benefit would be increasing the speed for diagnosis and management (106/163, 61.3%), and the worst issue would be to over rely on AI and lose medical skills (118/163, 72.4%). Physicians believed that AI would be useful (106/163, 65%), facilitate their work (140/153, 91.5%), not alter the number of appointments (80/162, 49.4%), not interfere in their financial gain (94/162, 58%), and not replace their jobs but be an additional source of information (104/162, 64.2%). In case of disagreement between AI and physicians, most (108/159, 67.9%) answered that a third opinion should be requested. Physicians with ≤10 years since graduation would adopt AI solutions more frequently than those with >20 years since graduation (P=.04), and female physicians were more receptive to other hospital staff using AI than male physicians (P=.008). Conclusions Physicians were shown to have good expectations regarding the use of AI in medicine when they apply it themselves, but not when used by others. They also intend to use it, as long as it was approved by a regulatory agency. Although there was hope for a beneficial impact of AI on health care, it also brings specific concerns.

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“…The Indian Council of Medical Research (ICMR) has recently issued an ethical guideline regarding AI that developers need to follow. [ 28 ] This is also intrinsically linked with the trust that is currently lacking among both dermatologists (national survey[ 29 ]) and the general population. [ 30 ]…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Diagnostic Dermatology: Challenges and the Way Forward

Sengupta

2023

Indian Dermatology Online Journal

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Artificial Intelligence (AI) has emerged as a transformative force in the field of diagnostic dermatology, offering unprecedented capabilities in image recognition and data analysis. Despite its promise, the integration of AI into clinical practice faces multifaceted challenges that span technical, ethical, and regulatory domains. This article provides a narrative overview of the current state of AI in dermatology, tracing its historical evolution from early diagnostic tools to contemporary hybrid supervised models. We identify and categorize six critical challenges: data quality and quantity, algorithmic development and explainability, ethical considerations, clinical workflow integration, regulatory frameworks, and stakeholder collaboration. Each challenge is dissected from the perspectives of academia, industry, and healthcare providers, offering actionable recommendations for future research and implementation. We also highlight the paradigm shift in AI research, emphasizing the potential of transformer architectures in revolutionizing diagnostic methodologies. By addressing the challenges and harnessing the latest advancements, AI has the potential to significantly impact diagnostic accuracy and patient outcomes in dermatology.

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Acceptability of artificial intelligence among Indian dermatologists

Cited by 6 publications

References 6 publications

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

Medical Expectations of Physicians on AI Solutions in Daily Practice: Cross-Sectional Survey Study

Artificial Intelligence in Diagnostic Dermatology: Challenges and the Way Forward

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