Introduction: Artificial intelligence (AI) in medical education has progressed gradually, with numerous authors debating whether to prohibit, restrict, or adopt its use in academic contexts. Growing evidence exists regarding the capabilities and applications of AI in this field, particularly in supporting educational tasks such as student assessment. In this article we described our experience using ChatGPT to evaluate medical residents.Materials and methods: A descriptive cross-sectional study was conducted involving 35 medical residents from different specialty’s at a secondary-level hospital. Two different exams were generated using ChatGPT in topics of Rocky Mountain Spotted Fever (RMSF) and Pertussis. Additionally, an opinion survey—previously validated was administered to assess participants’ perceptions of ChatGPT ability to generate multiple-choice questions.Results: Overall average score for the Pertussis examination was 8.46, while the average for the RMSF examination was 8.29. All participants reported that the examination was well written and that the language used was coherent; 34 residents (97.14%) stated that the language was clear, concise, and easy to understand; 9 residents (25.71%) agreed that the language used was confusing; 33 residents (94.28%) rated the exams questions as difficult; 32 residents (91.42%) felt that they had adequately prepared for both examinations.Discussion: ChatGPT exhibits a promising faculty as a tool to support teaching activities in the training of medical specialists, mainly in reducing the human workload of healthcare personnel, and becoming integral to the next phase of medical education through AI-assisted content creation supervised by educators.

Background: Rocky Mountain spotted fever (RMSF) is a challenge for physicians because the disease can mimic other endemic febrile illnesses, such as dengue and COVID-19. The comparison of their main clinical and epidemiological manifestations in hospitalized children can help identify characteristics that improve empirical suspicion and timely therapeutic interventions. Methods: A cross-sectional study was conducted on a series of patients aged 0 to 18 years, hospitalized between 2015 and 2022, with a diagnosis of RMSF, dengue, or COVID-19. Data were retrieved from medical records. Subjects were categorized as patients with RMSF (group I) and patients with dengue and COVID-19 (group II). Descriptive statistics were used, and differences were evaluated using Student’s t-test and the chi-squared test. Results: A series of 305 subjects were studied, with 252 (82.6%) in group I. Subjects in both groups presented fever, myalgias, arthralgias, and rash, but exposure to ticks distinguished group I. The fatality rate (21.0%) in group I was higher than in group II (3.8%). Conclusions: Although fever, myalgias, arthralgias, and rash are common in all three illnesses, they are more prevalent in hospitalized patients with RMSF. In the presence of such symptoms, a history of tick exposure can guide clinical decisions in regions where all three diseases are endemic.

La diabetes mellitus se ha establecido como un problema de salud pública en México debido a su creciente prevalencia y las posibles complicaciones que ésta puede causar. La COVID-19 ha representado un reto para las acciones del sistema de salud, específicamente en cuestión de las medidas de prevención y control a nivel poblacional. Se realizó una revisión bibliográfica con el objetivo de describir las problemáticas que se han presentado en el sistema de salud pública de México como consecuencia de la interacción entre COVID-19 y diabetes mellitus. El aumento del riesgo de complicaciones graves y mortalidad en pacientes con ambas enfermedades se ha demostrado en varios estudios. Además, la falta de acceso a los medicamentos necesarios, inasistencia a citas médicas continuas, la desinformación y los aspectos psicosociales son factores que han afectado la salud de los pacientes con diabetes mellitus durante la pandemia. Se concluye que se necesitan más estudios sobre la atención integral y el control glicémico en pacientes con diabetes mellitus y COVID-19.

La obesidad de origen central o hipotalámica es una posible complicación debida a craneofaringioma o su tratamiento. Los craneofaringiomas son tumoraciones benignas que, a pesar de ser poco frecuentes, representan 80 % de las neoplasias de la región hipotalámica-hipofisaria, y pueden afectar la calidad de vida de los pacientes por las diversas y frecuentes secuelas, entre ellas obesidad central. En el mecanismo fisiopatológico de este trastorno se encuentran implicados los núcleos hipotalámicos responsables del apetito y metabolismo basal del organismo. Presentamos el caso de un paciente de 15 años de edad, con índice de masa corporal de 48 kg/m2 y diabetes mellitus tipo 2 en tratamiento, quien es referido a nuestro centro hospitalario por presentar un cuadro agudo de náuseas y vómitos, así como la presencia de diversos síntomas neurológicos. La exploración física reveló obesidad generalizada importante, cuello corto, marcada acantosis a nivel cervical y pliegues de flexión, leve edema bimaleolar, criptopene de 8 cm y testículos Tanner IV asimétricos. Posteriormente, se estableció el diagnóstico de craneofaringioma tras considerar los antecedentes personales del paciente, los hallazgos clínicos y los estudios de laboratorio e imagen solicitados. Gracias a la intervención quirúrgica oportuna, se logró mejoría clínica y laboratorial importante en las citas de control quedando como secuela obesidad central. El manejo integral de las complicaciones por craneofaringioma optimiza de manera notable la calidad de vida de las personas que padecen este tipo de tumor selar.