Assist anesthesiologists in the administration of anesthesia for surgical and non-surgical procedures. Monitor patient status and provide patient care during surgical treatment.
U.S. Workers
155,540
Median Salary
$133,260
10-Year Growth
+20.4%
Annual Openings
12,000
Typical entry: Master's degree
16 of 16 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Assist anesthesiologists in monitoring of patients, including electrocardiogram (EKG), direct arterial pressure, central venous pressure, arterial blood gas, hematocrit, or routine measurement of temperature, respiration, blood pressure or heart rate.
AI: Fully automatable - AI can continuously monitor physiologic waveforms, interpret EKGs and pressures, and provide real‑time alerts and summaries, effectively performing the monitoring assistance role.
Collect and document patients' pre-anesthetic health histories.
AI: Fully automatable - AI chatbots and clinical documentation tools can reliably collect structured pre‑anesthetic histories and populate records with high accuracy.
Verify availability of operating room supplies, medications, and gases.
AI: Fully automatable - AI systems integrated with inventories, sensors and EHRs can fully verify availability of supplies, medications, and gases and raise alerts or order replenishment.
Participate in seminars, workshops, or other professional activities to keep abreast of developments in anesthesiology.
AI: Fully automatable - AI can continuously ingest literature, synthesize updates, attend virtual events, and generate learning materials, effectively automating much of professional education upkeep.
Control anesthesia levels during procedures.
AI: Partial - Closed‑loop controllers and decision support can assist or partially automate anesthesia dosing for certain agents, but comprehensive autonomous control across diverse patients and situations is not yet standard.
Respond to emergency situations by providing cardiopulmonary resuscitation (CPR), basic cardiac life support (BLS), advanced cardiac life support (ACLS), or pediatric advanced life support (PALS).
AI: Partial - AI can detect arrests, provide step‑by‑step prompts and coordinate responders, but cannot physically perform chest compressions or other hands‑on resuscitation independently.
Provide airway management interventions including tracheal intubation, fiber optics, or ventilary support.
AI: Partial - AI can provide guidance, video assistance, and decision support for airway management but cannot reliably perform invasive procedures like intubation or fiberoptic manipulation on its own in 2025.
Administer blood, blood products, or supportive fluids.
AI: Partial - AI can handle ordering, compatibility checks, infusion calculations and monitoring, but cannot perform the physical tasks of establishing access or delivering transfusions unaided.
Assist in the provision of advanced life support techniques including those procedures using high frequency ventilation or intra-arterial cardiovascular assistance devices.
AI: Partial - AI can guide and partially automate advanced support device settings and monitoring, but hands‑on procedures involving specialized devices require human operators and clinical judgment.
Pretest and calibrate anesthesia delivery systems and monitors.
AI: Partial - AI can run diagnostics, interpret self‑test results, and recommend calibration steps, but physical calibration and some manual checks still require human/technician action.
Monitor and document patients' progress during post-anesthesia period.
AI: Partial - AI can continuously monitor vitals and auto-generate documentation and alerts but cannot replace clinician oversight or perform hands-on interventions in the post-anesthesia period.
Administer anesthetic, adjuvant, or accessory drugs under the direction of an anesthesiologist.
AI: Partial - Closed-loop infusion systems and decision support can assist with drug administration under supervision, but direct delivery and final clinical decisions remain human responsibilities.
Assist anesthesiologists in performing anesthetic procedures, such as epidural or spinal injections.
AI: Partial - AI can provide imaging guidance, planning, and stepwise instructions for epidural/spinal procedures, but cannot autonomously perform invasive anesthetic procedures without skilled clinicians.
Provide clinical instruction, supervision or training to staff in areas such as anesthesia practices.
AI: Partial - AI can generate training materials, simulations, and remote coaching for anesthesia practices, but cannot fully replace in-person clinical supervision and credentialing.
Assist in the application of monitoring techniques, such as pulmonary artery catheterization, electroencephalographic spectral analysis, echocardiography, or evoked potentials.
AI: Partial - AI excels at signal analysis (EEG spectral, echo interpretation) and guidance, yet the application of invasive monitoring techniques (e.g., pulmonary artery catheterization) requires clinician skill and hands-on performance.
Collect samples or specimens for diagnostic testing.
AI: Partial - AI can coordinate, guide, and in limited settings control robotic sample collection, but routine specimen collection is still primarily a physical task done by clinicians or technicians.