Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Dermatologists:
62.4%
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
$328,730 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 7 sources.
Dermatology is labeled "Mostly Resilient" because AI is stepping in as a helper, not a replacement. Tools like AI image scanners and ambient scribes are taking over repetitive tasks like paperwork and initial image screening, but the hands-on skills that define the job (performing biopsies, building patient trust, and making nuanced clinical calls) remain firmly human.
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Dermatology is labeled "Mostly Resilient" because AI is stepping in as a helper, not a replacement. Tools like AI image scanners and ambient scribes are taking over repetitive tasks like paperwork and initial image screening, but the hands-on skills that define the job (performing biopsies, building patient trust, and making nuanced clinical calls) remain firmly human.
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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.
Dermatology earns a 62.4% AI Resilience Score, and the evidence backs that up. AI is genuinely good at image-based tasks: deep-learning models can grade acne and pigmented lesions with over 90% accuracy in controlled settings [1], and the FDA cleared an AI-powered handheld device for detecting common skin cancers in primary care in early 2024 [2]. Ambient scribes are also taking over note-taking. So yes, parts of the job are shifting.
But the parts that matter most to patients are staying human. Biopsies, procedures, and the judgment calls that come with complex cases require hands-on skill that no algorithm replaces. Patients are also hesitant to accept AI diagnoses without a dermatologist in the loop, actively demanding oversight and transparency [7]. Ethical questions around accountability and bias are slowing full integration too [6].
The economic picture is solid. Earning potential and career flexibility both score well, which tells us dermatology will remain a rewarding path even as tools evolve. Students entering this field should expect to work with AI, not against it. The dermatologists who learn to use these tools well will be more effective, not less necessary.
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Latest AI news for Dermatologists
These articles highlight the significant role AI is playing in dermatology, enhancing diagnostic accuracy and treatment options. For instance, AI is already aiding in triaging skin cancer cases, as noted in the Medscape article, which shows how technology can streamline patient care. Additionally, the Medical News Today piece emphasizes that AI can match dermatologists in melanoma detection, suggesting a collaborative future where AI supports rather than replaces dermatologists. Embracing AI tools can empower future dermatologists to provide better patient outcomes while adapting to evolving technology in their field.
Dermatology AI Is Here. Now Comes the Hard Part
www.medscape.com • 7/13/2026
MANCHESTER, England – AI is already helping to triage patients with suspected skin cancer in parts of the NHS. Now, dermatologists are...
Dermatologists Are Using A.I. to Erase Wrinkles and Help You Grow Thicker Hair. Here’s How.
www.womenshealthmag.com • 7/13/2026
Experts explain how artificial intelligence is improving cosmetic dermatology, from laser treatments to hair loss tracking and patient...
Q&A: Can AI Match Dermatologists in Detecting Melanoma?
www.physiciansweekly.com • 6/20/2026
"Our goal should be to ensure that AI meaningfully supports both clinicians and patients," says Eleni Linos, MD.
Melanoma: AI shows promise, but real-world use raises questions
www.medicalnewstoday.com • 4/9/2026
A new study suggests that AI performs on par with dermatologists in melanoma detection. However, dermatologists assisted by AI performed...
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...
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
$328,730
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.
