Evaluating the Utility of ChatGPT in Diagnosing and Managing Maxillofacial Trauma.

Maxillofacial trauma is a significant concern in emergency departments (EDs) due to its high prevalence and the complexity of its management. However, many ED physicians lack specialized training and confidence in handling these cases, leading to a high rate of facial trauma referrals and increased stress on consult services. Recent advancements in artificial intelligence, particularly in large language models such as ChatGPT, have shown potential in aiding clinical decision-making.

Toward personalized skin cancer care: multiple skin cancer development in five cohorts.

Importance: Many patients will develop more than one skin cancer, however most research to date has examined only case status.

Objective: Describe the frequency and timing of the treatment of multiple skin cancers in individual patients over time.

Design: Longitudinal claims and electronic health record-based cohort study.

Voriconazole Metabolism is Associated with the Number of Skin Cancers Per Patient.

Voriconazole exposure is associated with skin cancer, but it is unknown how the full spectrum of its metabolizer phenotypes impacts this association. We conducted a retrospective cohort study to determine how variation in metabolism of voriconazole as measured by metabolizer status of CYP2C19 is associated with the total number of skin cancers a patient develops and the rate of development of the first skin cancer after treatment. There were 1,739 organ transplant recipients with data on CYP2C19 phenotype.

A report on the safety of acitretin use in patients with renal failure on haemodialysis.

Acitretin, commonly used for severe psoriasis and keratinocyte carcinoma chemoprevention in high-risk patients, is contraindicated in patients with end-stage renal disease (ESRD) on haemodialysis (HD). However, these patients often lack medication choices and in certain clinical scenarios the benefits of acitretin may outweigh the potential risks. We identified 24 patients with ESRD on HD undergoing acitretin treatment from the Duke and Vanderbilt University Medical Centers.

Multi-modal Learning with Missing Data for Cancer Diagnosis Using Histopathological and Genomic Data.

Multi-modal learning (e.g., integrating pathological images with genomic features) tends to improve the accuracy of cancer diagnosis and prognosis as compared to learning with a single modality.