Ophthalmologists

Document or evaluate patients' medical histories.

AI: Fully automatable - AI systems in 2025 can reliably collect, summarize, and evaluate patient medical histories from forms, interviews, and records with high accuracy and automation.

Educate patients about maintenance and promotion of healthy vision.

AI: Fully automatable - AI can fully generate personalized, accessible education materials, risk-reduction advice, and behavior-change supports for patients about maintaining and promoting healthy vision.

Perform ophthalmic surgeries such as cataract, glaucoma, refractive, corneal, vitro-retinal, eye muscle, or oculoplastic surgeries.

AI: Partial - Robotic assistance and planning tools exist for ophthalmic surgery, but fully autonomous performance of complex eye surgeries is not clinically or legally standard in 2025.

Perform comprehensive examinations of the visual system to determine the nature or extent of ocular disorders.

AI: Partial - AI and devices can perform many components and generate diagnostic outputs for comprehensive eye exams, but complete examination including nuanced clinical judgment and patient interactions still requires a clinician.

Diagnose or treat injuries, disorders, or diseases of the eye and eye structures including the cornea, sclera, conjunctiva, or eyelids.

AI: Partial - AI can accurately diagnose many ocular diseases from images and suggest treatments, yet definitive treatment decisions and hands‑on interventions still need clinician responsibility and expertise.

Provide or direct the provision of postoperative care.

AI: Partial - Postoperative care can be partially automated through monitoring, alerts, and protocolized recommendations, but individualized management and escalation still require clinician oversight.

Perform, order, or interpret the results of diagnostic or clinical tests.

AI: Partial - AI can autonomously interpret many diagnostic tests (imaging, labs) and suggest orders, but test ordering and integration of results into complex clinical context remain partially human‑dependent.

Develop treatment plans based on patients' histories and goals, the nature and severity of disorders, and treatment risks and benefits.

AI: Partial - AI can generate evidence‑based treatment plans tailored to history and risk profiles, but final plan development requires physician judgment about tradeoffs, preferences, and legal responsibility.

Prescribe or administer topical or systemic medications to treat ophthalmic conditions and to manage pain.

AI: Partial - AI can recommend appropriate ophthalmic medications and dosing, yet legal prescribing authority, monitoring for adverse effects, and controlled decisions typically require a clinician to finalize.

Perform laser surgeries to alter, remove, reshape, or replace ocular tissue.

AI: Partial - Many ophthalmic laser procedures use automated laser platforms, but full autonomous performance and responsibility for altering ocular tissue is not standard practice and needs surgeon supervision.

Provide ophthalmic consultation to other medical professionals.

AI: Partial - AI can generate evidence-based consult notes and image-driven recommendations to support ophthalmic consultations, but it cannot replace the clinician's judgment, responsibility, and legal authority for patient-specific consultations.

Collaborate with multidisciplinary teams of health professionals to provide optimal patient care.

AI: Partial - AI can synthesize data, generate summaries, and facilitate communication among team members, but it cannot reliably perform the nuanced interpersonal, ethical, and decision-making roles of human multidisciplinary collaborators.

Refer patients for more specialized treatments when conditions exceed the experience, expertise, or scope of practice of practitioner.

AI: Partial - AI can identify red flags and recommend appropriate referrals based on guidelines and data, but making and executing formal referrals requires clinician judgment, consent, and professional/legal authority.

Develop or implement plans and procedures for ophthalmologic services.

AI: Partial - AI can draft, simulate, and optimize plans and procedures for ophthalmologic services, yet actual development, approval, implementation, and change management require human leadership and organizational authority.

Instruct interns, residents, or others in ophthalmologic procedures and techniques.

AI: Partial - AI can provide didactic content, simulations, and performance feedback for ophthalmologic procedures, but hands-on supervision, skill assessment, and credentialing of trainees remain human responsibilities.

Prescribe ophthalmologic treatments or therapies such as chemotherapy, cryotherapy, or low vision therapy.

AI: Partial - AI can recommend ophthalmologic treatments and protocols (including dosing and indications), but prescribing invasive therapies or controlled treatments requires licensed clinician decision-making and legal authority.

Prescribe corrective lenses such as glasses or contact lenses.

AI: Partial - AI can compute refractive prescriptions from objective and subjective data and support lens selection, but contact-lens fitting, dispensing, and legal prescription issuance typically require a licensed eye-care professional.

Conduct clinical or laboratory-based research in ophthalmology.

AI: Partial - AI can design studies, run analyses, and draft reports for clinical or laboratory research, but it cannot independently perform physical bench work, on-site clinical procedures, or fulfill human-subjects oversight and regulatory responsibilities.