The assessment of clinical competencies is essential in medical training, and the Objective Structured Clinical Examination (OSCE) is an essential tool in this process. There are multiple studies exploring the usefulness of artificial intelligence (AI) in medical education. This study explored the use of the GPT-4 AI model to grade clinical reports written by students during the OSCE at the Teaching Unit of the 12 de Octubre and Infanta Cristina University Hospitals, part of the Faculty of Medicine at the Complutense University of Madrid, comparing its results with those of human graders. Ninety-six (96) students participated, and their reports were evaluated by two experts, an inexperienced grader, and the AI using a checklist designed during the OSCE planning by the teaching team. The results show a significant correlation between the AI and human graders (ICC = 0.77 for single measures and 0.91 for average measures). AI was more stringent, assigning scores on an average of 3.51 points lower (t = −15.358, p < 0.001); its correction was considerably faster, completing the analysis in only 24 min compared to the 2–4 h required by human graders. These results suggest that AI could be a promising tool to enhance efficiency and objectivity in OSCE grading.

Background: Bad dietary habits and sedentary lifestyles alter body composition, increasing disease risk. Methods: We conducted a prospective, comparative, longitudinal observational study among nursing students from Complutense University of Madrid. Data were collected in two periods: before exams (January 2024) and during exams (May 2024). Body composition was assessed via bioimpedance (Beurer BF 1000), dietary habits through the modified Kidmed survey, and physical activity using the IPAQ. Results: During exam preparation, fat mass significantly increased (25.43% to 28.79%, p = 0.016), muscle mass significantly decreased (39.70% to 36.20%, p < 0.001), and visceral fat rose notably (2.34 to 3.52, p < 0.001). Students exhibiting poor dietary quality increased (54.2% to 80.0%, p < 0.001), vigorous physical activity dramatically decreased (84.7% to 11.1%, p < 0.001), and sedentary time increased significantly (408.24 to 543.61 min/day, p < 0.001). Conclusions: Our findings suggest dietary deterioration and reduced physical activity during exams adversely affect students’ body composition.

Background: Surgical patients often experience nutritional imbalances due to their underlying condition and the forthcoming surgical procedure. These imbalances can increase the risk of post-operative complications. To mitigate such risks, a comprehensive nutritional assessment—also known as morphofunctional assessment—should be conducted. This includes evaluating body composition (muscle and fat mass), muscle strength, and functional capacity. Methods: We conducted an observational, prospective, pre-post interventional study involving 138 patients undergoing major elective surgery. Each patient received a morphofunctional assessment and an individualized prehabilitation program, including nutritional supplementation, physical exercise, and comorbidity optimization for 21 days before surgery and one month afterward. Outcomes were assessed through bioimpedance (muscle mass), muscle ultrasound (QRF thickness), dynamometry (strength), and visceral fat ultrasound (fat reduction). Results: The patient’s morphofunctional assessment and subsequent nutritional and physical exercise optimization performed during the month before surgery in the prehabilitation consultation led to an increase in muscle mass (measured by bioimpedance analysis, p = 0.001), and muscle ultrasound, (QRF thickness: p < 0.001) and dinamometry (muscle strength: p = 0.014); a reduction in preperitoneal visceral fat thickness (reduction p < 0.001); and an improvement in the patients’ nutritional status, with a decrease in malnutrition rates (64.8% vs. 31.8%). As a result, post-operative complications were effectively prevented (p < 0.001). Conclusions: Pre-operative patient optimization by means of a prehabilitation program led to increased muscle strength, improved muscle mass, reduced complication rates, and shorter hospital stays. In addition, patients maintained their quality of life and functional capacity following surgery.

Background: Presurgical optimisation programmes decrease the risk of postoperative complications, reduce hospital stays and speed up patient recovery. They usually involve a multidisciplinary team addressing physical, nutritional and psychosocial issues. The objective of this study was to assess the results of implementing a presurgical optimisation programme led by a liaison nurse in patients undergoing major surgery in a primary general hospital. Methods: An observational, retrospective, descriptive, cross-sectional, comparative study based on the revision of patients’ health records undergoing major surgery between January 2019 and December 2022. Patients entering the presurgical optimisation programme (intervention group) were compared with patients receiving usual medical care (control group). The presurgical optimisation programme consisted of oral nutritional supplementation, physical exercise, strengthening of lung capacity and psychological and emotional support. Frequency (%) of surgery complications and use of healthcare resources (duration of hospitalisation, time spent in the intensive care unit (ICU), and readmission) at day 30 were recorded. Descriptive statistics were applied. Results: Two hundred eleven patients (58.5% men, mean age: 65.76 years (SD 11.5), 75.2%. non-smokers; mean body mass index (BMI): 28.32 (SD 5.38); mean Nutritional Risk Score (NRS) 3.71 (SD 1.35; oncology diagnosis: 88.6%) were included: 135 in the intervention group, and 76 in the control group. The average duration of the presurgical optimisation programme was 20 days (SD 5). Frequency of postoperative complications was 25% (n = 33) in the intervention group and 52.6% (n = 40) in the control group (p < 0.001) [odds ratio (OR) = 3.4; 95% confidence interval (CI) (1.8; 6.2)]. 14.5% (n = 19) of patients in the intervention group and 34.2% (n = 26) in the control group had remote postoperative complications [OR = 3.1; 95% CI (1.6; 6.2)]. Patients in the intervention group spent fewer days in the hospital [mean 8.34 (SD 6.70) vs 11.63 (SD 10.63)], and there were fewer readmissions at 30 days (7.6% vs 19.7%) compared with the control group. Conclusions: A presurgical optimisation programme led by a liaison nurse decreases the rate of immediate and late surgical complications and reduces hospital stays and readmissions in patients undergoing major surgery.