HOLOGIC – Empower Your Genius With Ours
The Genius Digital Diagnostics System is the first and only FDA cleared digital cytology system –
combining a new artificial intelligence (AI) with advanced volumetric imaging technology
to help cytologists and pathologists identify pre-cancerous lesions and cervical cancer cells.
Archives of Pathology & Laboratory Medicine AI-Generated Podcasts
Archives of Pathology & Laboratory Medicine now offers the option to listen to a discussion of select articles with voices reminiscent of a Siri or Garmin speaker. In fact, the voices that you will hear are completely AI generated. Since this AI-generated podcast uses technology that is still in its early stages of development, there may be some errors in pronunciation and the tone may sound too upbeat for the material covered.
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Introduction to Generative Artificial Intelligence: Contextualizing the Future
Context:
Generative artificial intelligence (GAI) is a promising new technology with the potential to transform communication and workflows in health care and pathology. Although new technologies offer advantages, they also come with risks that users, particularly early adopters, must recognize. Given the fast pace of GAI developments, pathologists may find it challenging to stay current with the terminology, technical underpinnings, and latest advancements. Building this knowledge base will enable pathologists to grasp the potential risks and impacts that GAI may have on the future practice of pathology.
Objective:
To present key elements of GAI development, evaluation, and implementation in a way that is accessible to pathologists and relevant to laboratory applications.
Listen to a discussion of this article through our AI-generated podcast.
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Harnessing the Power of Generative Artificial Intelligence in Pathology Education
Context:
Generative artificial intelligence (AI) technologies are rapidly transforming numerous fields, including pathology, and hold significant potential to revolutionize educational approaches.
Objective:
To explore the application of generative AI, particularly large language models and multimodal tools, for enhancing pathology education. We describe their potential to create personalized learning experiences, streamline content development, expand access to educational resources, and support both learners and educators throughout the training and practice continuum.
Listen to a discussion of this article through our AI-generated podcast.
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Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology
Context:
Technology companies and research groups are increasingly exploring applications of generative artificial intelligence (GenAI) in pathology and laboratory medicine. Although GenAI holds considerable promise, it also introduces novel risks for patients, communities, professionals, and the scientific process.
Objective:
To summarize the current frameworks for the ethical development and management of GenAI within health care settings.
Listen to a discussion of this article through our AI-generated podcast.
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Evaluating Use of Generative Artificial Intelligence in Clinical Pathology Practice
Context:
Generative artificial intelligence (GAI) technologies are likely to dramatically impact health care workflows in clinical pathology (CP). Applications in CP include education, data mining, decision support, result summaries, and patient trend assessments.
Objective:
To review use cases of GAI in CP, with a particular focus on large language models. Specific examples are provided for the applications of GAI in the subspecialties of clinical chemistry, microbiology, hematopathology, and molecular diagnostics. Additionally, the review addresses potential pitfalls of GAI paradigms.
Listen to a discussion of this article through our AI-generated podcast.
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