Integrating Artificial Intelligence–Based Mentorship Tools in Dermatology

Abstract

To the Editor: Mentorship plays a crucial role in the field of dermatology by providing guidance, support, and knowledge to medical students and residents. However, mentors often face time constraints due to their own clinical responsibilities and research endeavors. Artificial intelligence (AI) may prove to be the solution to a human problem. Mentorship fosters professional growth and development in the field of dermatology by enabling medical students and residents to learn from those who have been in their position.1 We have personally gained invaluable insights into career advancement, research opportunities, and professional networking through our mentors. The challenge we often face is that of restricted time. Medical students and residents must strike the balance of engaging in clinical activities, studying for board exams, and pursuing research endeavors. Similarly, mentors have their own bustling clinical practices and research pursuits that consume most of their time. AI-based mentorship tools have potential to help, as they remove the time barrier and provide students and residents with unlimited guidance. AI-based tools also offer students and residents a safe space to ask the "stupid" questions they may hesitate to ask in person, thus mitigating the fear of sounding unintelligent or inexperienced in front of experts in their field. In addition to fostering an efficient, open learning space, AI-based tools could help residents hone their technical skills. The incorporation of AI for medical mentoring has demonstrated success in residency programs within fields like surgery and radiology.2,3 The same technology could offer guidance and feedback to dermatology residents, allowing them to perfect skills, such as imaging interpretation, procedural techniques, and surgical proficiency. Mentorship continues to be an indispensable element for fostering professional growth in dermatology. However, mentors are only human and face real-world constraints. By integrating AI into medical school and residency programs, we can mitigate time limitations and provide trainees and their teachers with enhanced mentorship experiences. Olivia M. BurkeMedical student, University of Miami Miller School of Medicine, Miami, FloridaEran C. Gwillim, MDDermatology resident, University of Miami Miller School of Medicine, Miami, Florida; email: [email protected]

Ähnliche Arbeiten