Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. - Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. - Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. - Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

The idea for this book was originally conceived by Terrill Mast in conversations with Roland Folse. Dr. Mast was dedicated to the belief that all medical teachers should be generalists with skills and knowledge in all aspects of the field. Before his untimely death, he recruited most of the prestigious contributors to this important new book. This comprehensive volume features a review of the major topics in medical and surgical education by today's leading authorities in the field. The assembled authors represent a "Who's Who" in medical education around the world. Each chapter provides a state-of-the-art overview of the topic along with the projected changes most likely to occur over the next decade. A "must-have" for anyone responsible for educating students, residents, and physicians in the medical and surgical fields, this new book addresses the critical medical educational issues of the next millennium, in one, comprehensive volume.

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

RESEARCHING MEDICAL EDUCATION Researching Medical Education is an authoritative guide to excellence in educational research within the healthcare professions presented by the Association for the Study of Medical Education and AMEE. This text provides readers with key foundational knowledge, while introducing a range of theories and how to use them, illustrating a diversity of methods and their use, and giving guidance on practical researcher development. By linking theory, design, and methods across the spectrum of health professions education research, the text supports the improvement of quality, capacity building, and knowledge generation. Researching Medical Education includes contributions from experts and emerging researchers from five continents. The text includes information on: Developing yourself and your practice as a health professions education researcher Methods and methodologies including ethnography/digital ethnography, visual methods, critical discourse analysis, functional and corpus linguistics, critical pedagogy, critical race theory and participatory action research, and educational neuroscience methods Theories including those where relationships between context, environment, people and things matter (e.g., complexity theory, activity theory, sociomateriality, social cognitive theories and participatory practice) and those which are more individually focused (e.g., health behaviour theories, emotions in learning, instructional design, cognitive load theory and deliberate practice) Includes 10 brand new chapters Researching Medical Education is the ideal resource for anyone researching health professions education, from medical school to postgraduate training to continuing professional development. “This is an extraordinary text that combines theory and practice in medical education research. The authors represent the who’s who of medical education research, and their wisdom and insights will help guide novice and experienced researchers alike.” —David M. Irby, Professor Emeritus of Medicine, University of California, San Francisco, USA “Research in health professions education is maturing. This is clearly evidenced by the second edition of Researching Medical Education. In 30 chapters this book takes you on an exciting voyage on research theories and research methodologies. This book is a comprehensive resource for anyone engaging in research in health professions education.” — Cees van der Vleuten, former Director of the School of Health Professions Education, Maastricht University, The Netherlands

Leadership in Speech-Language Pathology aims to equip future leaders in the field of communication sciences and disorders by addressing the qualities of effective leadership, internal and external problem solving, potential tests of leadership skills, negotiation, politics, and the concept of power. Readers will gain a comprehensive view of leadership with the discussion of healthy leadership cultures, current leadership trends, and how to instruct emerging leaders. In the relatively young profession of speech-language pathology, the role models are still developing and ever changing as the educational and medical landscape becomes increasingly complex. The talents and skills of a new manager-leader will be tested, and it is the understanding of the big picture, the individual preparedness, and the unknown quantities that will serve to form a platform of the learning trajectory of a new senior appointee. This resource combines unique, "in-the-field" perspectives with the latest research on leadership styles and strategies to equip speech-language pathologists with the knowledge they need to lead. Key FeaturesEach chapter begins with Learning Objectives, highlighting topics to be discussedReflection Questions at the end of each chapter challenge readers to think critically about key pointsChapter Conclusions wrap up each chapter, providing a succinct summary for readersValuable insights from contributors Wendy Papir-Bernstein and Regina Lemmon-Bush