Changes in Resident Graduate Characteristics in a Large Pathology Training Program, 1994 to 2013

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities

This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support "Learning Health Systems" with them. Initially, the authors elaborate on these challenges after separating them according to their mitigation strategies: those that need innovative approaches, time, or future technological capabilities and those that require a conceptual reappraisal from a critical perspective. Then, a novel opportunity to support "Learning Health Systems" by integrating hidden information extracted by ML models from digitalized histopathology slides with other healthcare big data is presented.

Graduate Medical Education in Pathology: A Scoping Review

CONTEXT.—

Pathologists have produced a substantial body of literature on graduate medical education (GME). However, this body of literature is diverse and has not yet been characterized.

OBJECTIVE.—

To chart the concepts, research methods, and publication patterns of studies on GME in pathology.

DATA SOURCES.—

This was a systematic scoping review covering all literature produced since 1980 in the PubMed and Embase databases.

CONCLUSIONS.—

Research on GME in pathology is evenly dispersed across educational topics. This body of literature would benefit from research based on theory, stronger study designs, and studies that can provide evidence to support decisions on educational policies.

How to Succeed in Fellowship Acquisition: A Survey of Pathology Residents

Medical school curricula limit students’ exposure to pathology practice while pathology subspecialty training programs require residents to apply for fellowships as early as the end of their first year of training. Thus, limited exposure to pathology practice creates significant confusion and anxiety, often making the fellowship application process premature. Additionally, early focus on subspecialty training in order to acquire a fellowship adds to the initial lack of emphasis on general pathology training. We prepared a voluntary online survey with questions developed through focus groups and advice from an expert in survey design to determine which fellowships are desired and how successful residents are in their pursuit of these fellowships. The survey was distributed through the Pathology Residency Program Directors' (PRODS) listserv. Answers were solicited from pathology trainees throughout the entire training cycle. There were 141 (4.6% response rate) total respondents with each postgraduate year represented. One hundred twenty-two (95%) of 129 residents plan on completing 1 or 2 fellowships after residency training. Encouragingly, 94 (75%) of 126 pathology residents attained their desired specialty fellowship. However, 32 (32%) of 99 residents who acquired at least one fellowship chose a general surgical pathology fellowship. Furthermore, 33 (24%) respondents had already decided to pursue a specific specialty while still in medical school. An additional 32 (23%) came to their decision during postgraduate year 1. Therefore, although most residents are successful in attaining their desired fellowship, further research is needed to understand the effect of early commitment to a subspecialty and its impact on pathology education.