Publications by authors named "M I Boyer"

Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors that could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient data. Ethical concerns surrounding clinical AI systems for social behavior verification can be divided into two main categories: (1) the potential for inaccuracies/biases within such systems, and (2) the impact on trust in patient-provider relationships with the introduction of automated AI systems for "fact-checking", particularly in cases where the data/models may contradict the patient.

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Aim: In contrast to significant advances in organ preservation in locally advanced rectal cancer, the contemporary management of early-stage rectal cancer, including the frequency of abdominoperineal resections, remains largely unexplored in the United States. Therefore, we assessed the utilization of neoadjuvant therapy and oncological resections in early-stage rectal cancer patients.

Study Design: This is a retrospective cohort study of patients with cT1-T3N0 rectal cancer who underwent proctectomies between 2016 and 2022 in the National Surgical Quality Improvement Project proctectomy files.

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Objectives: The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare systems worldwide, causing substantial changes to routine healthcare delivery. National and international modelling studies have predicted adverse impacts of this disruption. This study aimed to assess the real-world impact of the COVID-19 pandemic on quality of care and outcomes for patients with lung cancer in New South Wales (NSW).

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Article Synopsis
  • The study investigated the presence of arsenic, cadmium, and lead in processed foods meant for infants and young children, focusing on how these toxic elements co-occur in different food categories.
  • It used statistical methods to evaluate correlations between the elements, finding that most food categories showed positive correlations, meaning if one element is high, others tend to be too.
  • The research suggests that understanding these correlations is important for regulating food safety, as it can affect how supply levels are assessed against maximum allowable limits.
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