Medical Scientists, Except Epidemiologists

Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.

AI: Partial - AI can plan study designs, run simulations, and analyze data to support research, but directing studies—including ethical approval, team leadership, and operational execution—remains a human responsibility.

Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.

AI: Partial - AI can generate experimental designs, analyze data, and draft presentations for both scientific and public audiences, but cannot fully replace human-led conception, hands-on validation, and accountable interpretation of novel medical methodologies and instrumentation.

Study animal and human health and physiological processes.

AI: Partial - AI can model physiological processes and analyze observational or experimental data, but cannot independently perform in vivo/in vitro studies, clinical assessments, or ethically accountable human/animal research.

Follow strict safety procedures when handling toxic materials to avoid contamination.

AI: Partial - AI systems can monitor, instruct, and augment automated handling via robotics and provide SOP compliance alerts, but they cannot universally perform or guarantee the physical, context-sensitive safe handling of toxic materials without specialized integrated robotics and human oversight.

Write and publish articles in scientific journals.

AI: Partial - AI can draft, edit, format, and help submit manuscripts and respond to reviewer comments, but cannot independently produce and ethically validate the original experimental work and leadership typically required to publish in scientific journals.

Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems.

AI: Partial - AI can control instrument software, optimize settings, and interpret outputs for many automated workflows, yet routine physical setup, maintenance, troubleshooting, and certain manual adjustments of sophisticated instruments still require trained humans or specialized robotics.

Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.

AI: Partial - AI can analyze images and assay data to identify toxicity or microorganisms and can guide protocols, but it cannot in 2025 reliably perform the full range of delicate wet-lab sample preparation and bench procedures without human technicians or dedicated lab automation hardware.

Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.

AI: Partial - AI can assist in dose optimization, immunization strategy modeling, and process design for manufacturing, but final standardization requires clinical trials, regulatory approval, and manufacturing quality systems that cannot be fully automated by AI alone.

Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.

AI: Partial - AI can analyze data, run in silico toxicity and mechanism models, and synthesize evidence across studies, but cannot fully carry out the wet-lab, animal, or clinical experiments required to evaluate effects at all biological levels.

Investigate cause, progress, life cycle, or mode of transmission of diseases or parasites.

AI: Partial - AI excels at analyzing epidemiological, genomic, and experimental data and proposing hypotheses about disease causation and transmission, but cannot by itself conduct the full spectrum of field and laboratory investigations needed to confirm mechanisms.

Consult with and advise physicians, educators, researchers, and others regarding medical applications of physics, biology, and chemistry.

AI: Partial - AI can provide literature-based recommendations, simulations, and decision support to physicians, educators, and researchers, but cannot fully replace the contextual judgment, responsibility, and interdisciplinary communication performed in human consultation.

Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.

AI: Partial - AI can generate didactic content, simulations, and assessments to teach medical principles, but cannot fully replace hands‑on clinical supervision, credentialing, and nuanced mentorship required for physicians and technicians.

Confer with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.

AI: Partial - AI can analyze data and draft standards or program proposals and models, but cannot by itself conduct stakeholder negotiations, political advocacy, and the trust‑building needed to implement public health programs.