Surgical Assistants

Verify the identity of patient or operative site.

AI: Fully automatable - Identity and site verification can be fully automated using barcode/RFID, EHR cross-checks, and image/biometric matching workflows that are already widely deployed by 2025.

Determine availability of necessary equipment or supplies for operative procedures.

AI: Fully automatable - By 2025 inventory-management and EMR-integrated AI systems can reliably track stock and flag availability for planned procedures without human intervention.

Operate sterilizing devices.

AI: Fully automatable - Sterilization equipment (autoclaves, washers) is already highly automated and can be operated and monitored by AI/software systems in routine use.

Adjust and maintain operating room temperature, humidity, or lighting, according to surgeon's specifications.

AI: Fully automatable - Building management systems integrated with surgical scheduling and AI can reliably adjust and maintain OR temperature, humidity, and lighting to specified setpoints.

Monitor and maintain aseptic technique throughout procedures.

AI: Partial - Computer vision and monitoring can detect breaches of aseptic technique and provide real-time alerts, but AI cannot physically maintain sterility or reliably intervene without human staff in current practice.

Coordinate or participate in the positioning of patients, using body stabilizing equipment or protective padding to provide appropriate exposure for the procedure or to protect against nerve damage or circulation impairment.

AI: Partial - AI-guided positioning systems and motorized tables can perform many positioning tasks and safeguards, yet hands-on coordination for complex positioning and protection against nerve/circulatory injury still requires human oversight and intervention.

Cover patients with surgical drapes to create and maintain a sterile operative field.

AI: Partial - Robotic draping prototypes and guided workflows can assist with sterile draping, but fully autonomous, reliable draping across varied patient anatomies and emergencies is not broadly realized by 2025.

Maintain an unobstructed operative field, using surgical retractors, sponges, or suctioning and irrigating equipment.

AI: Partial - Automation can assist with suction/irrigation control and deploy self-retaining retractors, and vision systems can flag obstructions, but maintaining the operative field still depends on human dexterity and judgment in most cases.

Prepare and apply sterile wound dressings.

AI: Partial - AI can plan dressing selection and support robotic or assisted application in controlled settings, but reliably preparing and applying sterile dressings across diverse wounds and environments is only partially automatable in 2025.

Apply sutures, staples, clips, or other materials to close skin, facia, or subcutaneous wound layers.

AI: Partial - Robotic platforms can assist with suturing and staples and research demonstrations show autonomous closures in controlled settings, but routine, fully autonomous closure of skin, fascia, and subcutaneous layers under clinical variability is not yet standard.

Discuss with surgeon the nature of the surgical procedure, including operative consent, methods of operative exposure, diagnostic or laboratory data, or patient-advanced directives or other needs.

AI: Partial - AI can synthesize operative plans, consent forms, and summarize diagnostics to support the discussion, but the interpersonal, ethical, and legal aspects of discussing consent and directives with a surgeon require human-to-human communication and responsibility.

Clamp, ligate, or cauterize blood vessels to control bleeding during surgical entry, using hemostatic clamps, suture ligatures, or electrocautery equipment.

AI: Partial - AI can guide decisions and assist robotic systems, but fully autonomous clamping/ligating/cauterizing in general surgery remains experimentally limited and not broadly deployable.

Assess skin integrity or other body conditions upon completion of the procedure to determine if damage has occurred from body positioning.

AI: Partial - Computer vision and decision-support tools can screen dressings and images for positioning injury but cannot replace a full hands-on clinical assessment in all cases.

Assist with patient resuscitation during cardiac arrest or other life-threatening events.

AI: Partial - AI can provide real-time guidance, defibrillator automation, and device control, but cannot universally perform all physical resuscitation tasks autonomously in the clinical setting.

Obtain or inspect sterile or non-sterile surgical equipment, instruments, or supplies.

AI: Partial - AI can automate inventory checks and visual/ RFID-based inspection but physical retrieval and some sterile handling steps still typically require humans or specialized robots.

Pass instruments or supplies to surgeon during procedure.

AI: Partial - Dexterous, context-sensitive instrument passing is partially automatable with robotics and AI assistance but not fully reliable or widely available for all procedures by 2025.

Monitor patient intra-operative status, including patient position, vital signs, or volume and color of blood.

AI: Partial - AI fully automates vitals monitoring and alarms, but comprehensive intraoperative assessment including precise positioning and accurate blood volume/color estimation remains only partially automated.

Remove patient hair or disinfect incision sites to prepare patient for surgery.

AI: Partial - Automated hair removal and antiseptic applicators with vision guidance can perform routine prep steps, yet sterility assurance and atypical cases typically need human intervention.

Assist in the insertion, positioning, or suturing of closed-wound drainage systems.

AI: Partial - AI-assisted guidance can aid placement of drains, but the manual insertion/positioning and suturing tasks remain largely manual or semi-automated with limited robotic support.

Assist members of surgical team with gowning or gloving.

AI: Partial - Assisting with gowning/gloving involves fine tactile interaction that is only partially automatable with specialized devices and not fully replaced by AI systems in routine practice.

Gather, arrange, or assemble instruments or supplies.

AI: Partial - Robotic pick-and-place and inventory systems can assemble standardized instrument trays and assist with ordering, but variability, sterility checks, and ad-hoc requests still require human oversight.

Coordinate with anesthesia personnel to maintain patient temperature.

AI: Partial - AI can continuously monitor patient temperature and coordinate alerts or suggestions with anesthesia staff, but real-time team coordination and clinical judgments remain human-led.

Assist in applying casts, splints, braces, or similar devices.

AI: Partial - Robotic aids and guided devices can assist with standardized casting and brace application, but tailoring to individual anatomy and complex manual adjustments still need humans.

Transport patients to operating room.

AI: Partial - Autonomous transport robots and scheduling/navigation AI can handle many patient transfers in controlled settings, but varied patient mobility and safety handling still often require human staff.

Postoperatively inject a subcutaneous local anesthetic agent to reduce pain.

AI: Partial - Robotic injection systems and guidance AI can perform straightforward subcutaneous injections in controlled contexts, but regulatory, safety, and variable clinical scenarios limit full autonomous use.

Insert or remove urinary bladder catheters.

AI: Partial - Automated guidance and assistive devices can help with catheter insertion/removal, but anatomical variation, patient comfort, and sterility concerns keep humans involved.

Assist in volume replacement or autotransfusion techniques.

AI: Partial - Autotransfusion and volume-replacement devices are highly automated for routine processes, but setup, troubleshooting, and critical decisions still require human supervision.

Incise tissue layers in lower extremities to harvest veins.

AI: Not automatable - Making surgical incisions for vein harvest requires nuanced tactile feedback and intraoperative judgment that autonomous AI systems cannot reliably perform in clinical practice by 2025.