Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders

L Gedefaw, CF Liu, RKL Ip, HF Tse, MHY Yeung… - Cells, 2023 - mdpi.com
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …

Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the …

J Cadamuro, F Cabitza, Z Debeljak… - Clinical Chemistry and …, 2023 - degruyter.com
Objectives ChatGPT, a tool based on natural language processing (NLP), is on everyone's
mind, and several potential applications in healthcare have been already proposed …

Big Data in Laboratory Medicine—FAIR Quality for AI?

TU Blatter, H Witte, CT Nakas, AB Leichtle - Diagnostics, 2022 - mdpi.com
Laboratory medicine is a digital science. Every large hospital produces a wealth of data
each day—from simple numerical results from, eg, sodium measurements to highly complex …

Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories

A Carobene, F Cabitza, S Bernardini… - Clinical Chemistry and …, 2023 - degruyter.com
Objectives The field of artificial intelligence (AI) has grown in the past 10 years. Despite the
crucial role of laboratory diagnostics in clinical decision-making, we found that the majority …

Flowing through laboratory clinical data: the role of artificial intelligence and big data

A Padoan, M Plebani - Clinical Chemistry and Laboratory Medicine …, 2022 - degruyter.com
During the last few years, clinical laboratories have faced a sea change, from facilities
producing a high volume of low-cost test results, toward a more integrated and patient …

Student perspectives on the integration of artificial intelligence into healthcare services

MN Ahmad, SA Abdallah, SA Abbasi… - Digital …, 2023 - journals.sagepub.com
Background Healthcare workers are often overworked, underfunded, and face many
challenges. Integration of artificial intelligence into healthcare service provision can tackle …

The preanalytical phase–from an instrument-centred to a patient-centred laboratory medicine

J Cadamuro, AM Simundic - Clinical Chemistry and Laboratory …, 2023 - degruyter.com
In order to guarantee patient safety, medical laboratories around the world strive to provide
highest quality in the shortest amount of time. A major leap in quality improvement was …

The medical profession transformed by artificial intelligence: Qualitative study

L Mosch, D Fürstenau, J Brandt, J Wagnitz… - Digital …, 2022 - journals.sagepub.com
Background Healthcare delivery will change through the increasing use of artificial
intelligence (AI). Physicians are likely to be among the professions most affected, though to …

[HTML][HTML] Artificial intelligence and laboratory data in rheumatic diseases

P Galozzi, D Basso, M Plebani, A Padoan - Clinica Chimica Acta, 2023 - Elsevier
Artificial intelligence (AI)-based medical technologies are rapidly evolving into actionable
solutions for clinical practice. Machine learning (ML) algorithms can process increasing …

Preanalytical quality improvement–an interdisciplinary journey

J Cadamuro, G Baird, G Baumann… - Clinical Chemistry and …, 2022 - degruyter.com
Since the beginning of laboratory medicine, the main focus was to provide high quality
analytics. Over time the importance of the extra-analytical phases and their contribution to …