AIMC Topic: Laboratories

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A Nationwide Network of Health AI Assurance Laboratories.

JAMA
IMPORTANCE: Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, e...

ChatGPT-Exploring Its Role in Clinical Chemistry.

Annals of clinical and laboratory science
OBJECTIVE: To evaluate the utility of artificial intelligence-powered language models (ChatGPT 3.5 and GPT-4) compared to trainees and clinical chemists in responding to common laboratory questions in the broad area of Clinical Chemistry.

Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine.

The journal of applied laboratory medicine
BACKGROUND: Methods of machine learning provide opportunities to use real-world data to solve complex problems. Applications of these methods in laboratory medicine promise to increase diagnostic accuracy and streamline laboratory operations leading ...

Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls.

Turk patoloji dergisi
The use of digitized data in pathology research is rapidly increasing. The whole slide image (WSI) is an indispensable part of the visual examination of slides in digital pathology and artificial intelligence applications; therefore, the acquisition ...

Whole-Slide Imaging: Updates and Applications in Papillary Thyroid Carcinoma.

Methods in molecular biology (Clifton, N.J.)
Whole-slide imaging (WSI) has wide spectrum of application in histopathology, especially in the study of cancer including papillary thyroid carcinoma. The main applications of WSI system include research, teaching, and assessment and recently patholo...

Automation for Life Science Laboratories.

Advances in biochemical engineering/biotechnology
The automation of processes in all areas of the life sciences will continue to increase in the coming years due to an ever increasing number of samples to be processed, an increasing need to protect laboratory personnel from infectious material and i...

Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review.

Clinical chemistry
BACKGROUND: Modern artificial intelligence (AI) and machine learning (ML) methods are now capable of completing tasks with performance characteristics that are comparable to those of expert human operators. As a result, many areas throughout healthca...

Rise of the Machines: Artificial Intelligence and the Clinical Laboratory.

The journal of applied laboratory medicine
BACKGROUND: Artificial intelligence (AI) is rapidly being developed and implemented to augment and automate decision-making across healthcare systems. Being an essential part of these systems, laboratories will see significant growth in AI applicatio...