Mostly Resilient
Last Update: 5/19/2026
AI Resilience Score for Dermatologists:
61.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forDermatologists
>$239,200 median salary•400 annual openings•SOC Code: 29-1213.00
Dermatologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Dermatology earns a "Mostly Resilient" label because while AI is getting really good at analyzing skin images and handling paperwork, patients still want a real doctor involved in their care — and that's not changing anytime soon. The hands-on parts of the job, like performing biopsies and procedures, building trust with patients, and making complex judgment calls, are things AI simply can't replicate.
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Dermatology earns a "Mostly Resilient" label because while AI is getting really good at analyzing skin images and handling paperwork, patients still want a real doctor involved in their care — and that's not changing anytime soon. The hands-on parts of the job, like performing biopsies and procedures, building trust with patients, and making complex judgment calls, are things AI simply can't replicate.
Read full analysisAnalysis of Current AI Resilience
Dermatologists
Updated Quarterly
How is AI changing Dermatologists jobs?
The good news for anyone considering dermatology: AI is mostly working alongside dermatologists, not replacing them. A recent review covered by Practical Dermatology found that deep-learning models can grade acne, vitiligo, pigmented lesions, and melasma with over 90% accuracy in controlled datasets [1], but the authors stressed that AI is "unlikely to supplant dermatologists, but rather supplement their work." On the diagnostic side, the FDA cleared DermaSensor in early 2024 as the first AI-powered handheld device for detecting all three common skin cancers in primary care settings [2], and a 2026 Swedish study covered by ScienceDaily showed that advanced AI models flagged melanoma risk with about 73% accuracy using routine registry data, beating age-and-sex baselines [3]. Newer tools target other core tasks too: a prospective study in the British Journal of Dermatology tested a smartphone AI app for skin-cancer triage [4], and SquareMind raised $18 million in April 2026 to scale its robotic Swan system for full-body skin imaging [5].
Ambient AI scribes are also chipping away at the most automatable task—recording patient histories.
Sources
How fast is AI adoption growing for Dermatologists?
Adoption is moving quickly for paperwork and image triage, but more cautiously for diagnosis. Dermatology Times notes that ethical questions around accountability, bias, and consent are slowing full integration [6], and a JMIR Dermatology review found patients are hesitant to accept AI diagnoses without a dermatologist involved, demanding oversight and transparency [7]. Push factors—long appointment waits, rising skin-cancer rates, and tools now reimbursable or FDA-cleared—are powerful, but biopsy skills, hands-on procedures, and patient trust remain firmly human.
For students, that means dermatology is being reshaped, not erased: the dermatologists who thrive will be the ones who learn to work with these tools.
Sources
Will AI replace Dermatologists?
No. We don't think AI will replace Dermatologists, though we do expect the job to change.
That view is reflected in our 61.9% AI Resilience Score. AI is genuinely good at pattern recognition in skin images: deep-learning models can grade conditions like acne and melanoma with high accuracy in controlled settings, and the FDA has already cleared AI-powered devices for skin cancer screening in primary care [2]. Ambient scribes are also handling more of the documentation work. So yes, parts of the job are shifting.
But the parts that matter most are staying human. Patients are hesitant to accept AI diagnoses without a dermatologist involved, and they want transparency and oversight throughout [7]. Ethical questions around accountability and bias are also slowing full clinical integration [6]. Biopsy skills, hands-on procedures, and the trust built in an exam room are not things an algorithm can replicate.
The economic picture supports staying in this field. Earning potential is strong, and dermatologists who learn to work alongside AI tools, using them for faster triage and better imaging, will be well positioned. The job is being reshaped, not erased, and that is actually a reason to lean in rather than step back.
Sources
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Latest AI news for Dermatologists
These AI-related articles highlight the evolving role of dermatologists in a tech-driven landscape. For instance, the research shows that AI tools can match dermatologists' diagnostic accuracy, suggesting a future where collaboration with AI enhances clinical skills. Additionally, the need for transparent datasets underscores the importance of ethical practices in AI development, encouraging future dermatologists to advocate for high standards. Embracing AI resilience means preparing for a career that integrates advanced technology while maintaining the critical human touch in patient care.
An AI-powered dermatology program led to more confident, accurate diagnoses, cohort study shows
www.managedhealthcareexecutive.com • 4/20/2026
A study in JAMA Dermatology found that people using an AI tool were more accurate and confident in identifying skin conditions than those...
Revolutionizing dermatopathology using AI in skin diagnostics: scoping review
www.frontiersin.org • 2/2/2026
AI models are becoming is increasingly used to enhance skin disease diagnosis and treatment. This scoping review complies with the PRISMA-ScR guidelines and...
Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label
www.nature.com • 11/5/2025
Biased and poorly documented dermatology datasets pose risks to the development of safe and generalizable artificial intelligence (AI) tools...
Cutaneous Squamous Cell Carcinoma AI Model Rivals Dermatologists in Differentiation Assessment
ascopost.com • 9/26/2025
Performance of a convolutional neural network in determining differentiation levels of cutaneous squamous cell carcinomas was on par with...
Navigating the AI tide: challenges, opportunities, and future directions for early-career dermatologists
www.frontiersin.org • 9/19/2025
Artificial intelligence (AI) has demonstrated diagnostic accuracy comparable to dermatologists in specific tasks (e.g., 92.5% vs.
More Career Info
Career: Dermatologists
They help people with skin issues by examining their skin, diagnosing problems like acne or rashes, and providing treatments to improve skin health.
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Employment & Wage Data
Median Wage
>=$239,200
Jobs (2024)
10,900
Growth (2024-34)
+6.4%
Annual Openings
400
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Instruct interns or residents in diagnosis and treatment of dermatological diseases.
2
Perform incisional biopsies to diagnose melanoma.
3
Provide liposuction treatment to patients.
4
Prescribe hormonal agents or topical treatments such as contraceptives, spironolactone, antiandrogens, oral corticosteroids, retinoids, benzoyl peroxide, and antibiotics.
5
Provide dermatologic consultation to other health professionals.
6
Conduct clinical or basic research.
7
Evaluate patients to determine eligibility for cosmetic procedures such as liposuction, laser resurfacing, and microdermabrasion.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
