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Pathology, Research and Practice Sep 2020Information, archives, and intelligent artificial systems are part of everyday life in modern medicine. They already support medical staff by mapping their workflows... (Review)
Review
Information, archives, and intelligent artificial systems are part of everyday life in modern medicine. They already support medical staff by mapping their workflows with shared availability of cases' referral information, as needed for example, by the pathologist, and this support will be increased in the future even more. In radiology, established standards define information models, data transmission mechanisms, and workflows. Other disciplines, such as pathology, cardiology, and radiation therapy, now define further demands in addition to these established standards. Pathology may have the highest technical demands on the systems, with very complex workflows, and the digitization of slides generating enormous amounts of data up to Gigabytes per biopsy. This requires enormous amounts of data to be generated per biopsy, up to the gigabyte range. Digital pathology allows a change from classical histopathological diagnosis with microscopes and glass slides to virtual microscopy on the computer, with multiple tools using artificial intelligence and machine learning to support pathologists in their future work.
Topics: Artificial Intelligence; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Pathologists; Pathology; Workflow
PubMed: 32825928
DOI: 10.1016/j.prp.2020.153040 -
The American Journal of Surgical... Aug 2022Direct pathologist-patient encounters are infrequent, but there has been a modest movement toward such interactions in the past 2 decades. The present article places...
Direct pathologist-patient encounters are infrequent, but there has been a modest movement toward such interactions in the past 2 decades. The present article places that movement in perspective. It includes a discussion of diverse factors-including congressional laws, the views of department chairs, and progress in artificial intelligence-that could promote pathologist-patient interactions and also reviews factors that might deter such encounters.
Topics: Artificial Intelligence; Humans; Pathologists
PubMed: 35220353
DOI: 10.1097/PAS.0000000000001877 -
Archives of Pathology & Laboratory... Jan 2023
Topics: Humans; Pathologists
PubMed: 36577091
DOI: 10.5858/arpa.2022-0226-ED -
Archives of Pathology & Laboratory... Jul 2019Skin adnexal tumors, those neoplasms deriving from hair follicles and sweat glands, are often a source of confusion amongst even experienced pathologists. Many...
CONTEXT.—
Skin adnexal tumors, those neoplasms deriving from hair follicles and sweat glands, are often a source of confusion amongst even experienced pathologists. Many well-described entities have overlapping features, tumors are often only partially sampled, and many cases do not fit neatly into well-established classification schemes.
OBJECTIVES.—
To simplify categorization of adnexal tumors for the general surgical pathologist and to shed light on many of the diagnostic dilemmas commonly encountered in daily practice. The following review breaks adnexal neoplasms into 3 groups: sebaceous, sweat gland-derived, and follicular.
DATA SOURCES.—
Pathology reference texts and primary literature regarding adnexal tumors.
CONCLUSIONS.—
Review of the clinical and histopathologic features of primary cutaneous adnexal tumors, and the diagnostic dilemmas they create, will assist the general surgical pathologist in diagnosing these often challenging lesions.
Topics: Humans; Neoplasms, Adnexal and Skin Appendage; Pathologists; Pathology, Surgical; Skin Neoplasms
PubMed: 30638401
DOI: 10.5858/arpa.2018-0189-RA -
American Journal of Clinical Pathology Jan 2021
Topics: Humans; Minority Groups; Pathologists
PubMed: 33106844
DOI: 10.1093/ajcp/aqaa192 -
Archives of Pathology & Laboratory... Apr 2020
Topics: Career Choice; Career Mobility; Humans; Pathologists; Pathology, Clinical
PubMed: 31971465
DOI: 10.5858/arpa.2019-0680-ED -
International Journal of Laboratory... Jun 2023An increasing number of machine learning applications are being developed and applied to digital pathology, including hematopathology. The goal of these modern... (Review)
Review
An increasing number of machine learning applications are being developed and applied to digital pathology, including hematopathology. The goal of these modern computerized tools is often to support diagnostic workflows by extracting and summarizing information from multiple data sources, including digital images of human tissue. Hematopathology is inherently multimodal and can serve as an ideal case study for machine learning applications. However, hematopathology also poses unique challenges compared to other pathology subspecialities when applying machine learning approaches. By modeling the pathologist workflow and thinking process, machine learning algorithms may be designed to address practical and tangible problems in hematopathology. In this article, we discuss the current trends in machine learning in hematopathology. We review currently available machine learning enabled medical devices supporting hematopathology workflows. We then explore current machine learning research trends of the field with a focus on bone marrow cytology and histopathology, and how adoption of new machine learning tools may be enabled through the transition to digital pathology.
Topics: Humans; Machine Learning; Algorithms; Pathologists; Workflow
PubMed: 37257440
DOI: 10.1111/ijlh.14110 -
Toxicologic Pathology Jun 2021To address the challenges posed by large-scale development, validation, and adoption of artificial intelligence (AI) in pathology, we have constituted a consortium of...
To address the challenges posed by large-scale development, validation, and adoption of artificial intelligence (AI) in pathology, we have constituted a consortium of academics, small enterprises, and pharmaceutical companies and proposed the BIGPICTURE project to the Innovative Medicines Initiative. Our vision is to become the catalyst in the digital transformation of pathology by creating the first European, ethically compliant, and quality-controlled whole slide imaging platform, in which both large-scale data and AI algorithms will exist. Our mission is to develop this platform in a sustainable and inclusive way, by connecting the community of pathologists, researchers, AI developers, patients, and industry parties based on creating value and reciprocity in use based on a community model as the mechanism for ensuring sustainability of the platform.
Topics: Algorithms; Artificial Intelligence; Humans; Pathologists
PubMed: 33571073
DOI: 10.1177/0192623321989644 -
American Journal of Clinical Pathology Sep 2021The pathology report serves as a crucial communication tool among a number of stakeholders. It can sometimes be challenging to understand. A communication barrier exists... (Review)
Review
OBJECTIVES
The pathology report serves as a crucial communication tool among a number of stakeholders. It can sometimes be challenging to understand. A communication barrier exists among pathologists, other clinicians, and patients when interpreting the pathology report, leaving both clinicians and patients less empowered when making treatment decisions. Miscommunication can lead to delays in treatment or other costly medical interventions.
METHODS
In this review, we highlight miscommunication in pathology reporting and provide potential solutions to improve communication.
RESULTS
Up to one-third of clinicians do not always understand pathology reports. Several causes of report misinterpretation include the use of pathology-specific jargon, different versions of staging or grading systems, and expressions indicative of uncertainty in the pathologist's report. Active communication has proven to be crucial between the clinician and the pathologist to clarify different aspects of the pathology report. Direct communication between pathologists and patients is evolving, with promising success in proof-of-principle studies. Special attention needs to be paid to avoiding inaccuracy while trying to simplify the pathology report.
CONCLUSIONS
There is a need for active and adequate communication among pathologists, other clinicians, and patients. Clarity and consistency in reporting, quantifying the level of confidence in diagnosis, and avoiding misnomers are key steps toward improving communications.
Topics: Communication; Humans; Pathologists; Pathology, Clinical; Patients; Physicians; Research Report; Translational Research, Biomedical; Uncertainty
PubMed: 33907793
DOI: 10.1093/ajcp/aqab014 -
Journal of Clinical Pathology May 2023Resections of ischaemic bowel are one of the most common pathology specimens yet are often viewed as unappealing and diagnostically unrewarding. This article serves to... (Review)
Review
Resections of ischaemic bowel are one of the most common pathology specimens yet are often viewed as unappealing and diagnostically unrewarding. This article serves to dispel both misconceptions. It also provides guidance on how clinical information, macroscopic handling and microscopic assessment-and especially the interlinking of all three-can maximise the diagnostic yield of these specimens. This diagnostic process requires recognition of the wide range of causes of intestinal ischaemia, including several more recently described entities. Pathologists should also be aware of when and why such causes cannot be discerned from a resected specimen and of how certain artefacts or differential diagnoses can mimic ischaemia.
Topics: Humans; Ischemia; Pathologists
PubMed: 36813561
DOI: 10.1136/jcp-2023-208764