A survey on large language models: Applications, challenges, limitations, and practical usage

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.org
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.org
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

[HTML][HTML] From machine learning to deep learning: An advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2023 - Elsevier
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

[HTML][HTML] Recent advancements in machine learning enabled portable and wearable biosensors

S Kadian, P Kumari, S Shukla, R Narayan - Talanta Open, 2023 - Elsevier
Recent advances in noninvasive portable and wearable biosensors have attracted
significant attention due to their capability to offer continual physiological information for …

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

MG Ragab, SJ Abdulkader, A Muneer… - IEEE …, 2024 - ieeexplore.ieee.org
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …

[PDF][PDF] A comprehensive systematic review of yolo for medical object detection (2018 to 2023)

R Qureshi, MG RAGAB, SJ ABDULKADER… - Authorea …, 2023 - techrxiv.org
ABSTRACT You Only Look Once (YOLO) is a popular object detection algorithm that has
been applied to a variety of medical object detection tasks. A systematic search was …

A topical review on AI-interlinked biodomain sensors for multi-purpose applications

R Thapa, S Poudel, K Krukiewicz, A Kunwar - Measurement, 2024 - Elsevier
Based on their construction or working principles, biosensors, biomimetic sensors, and
bioapplicable sensors may have been understood differently, but everyone acknowledges …

Innovative Biosensing Approaches for Swift Identification of Candida Species, Intrusive Pathogenic Organisms

DL Lorenzo-Villegas, NV Gohil, P Lamo, S Gurajala… - Life, 2023 - mdpi.com
Candida is the largest genus of medically significant fungi. Although most of its members are
commensals, residing harmlessly in human bodies, some are opportunistic and dangerously …

Quantum Biosensors: Principles and Applications in Medical Diagnostics

S Das, H Mazumdar, KR Khondakar… - ECS Sensors …, 2024 - iopscience.iop.org
Originating at the intersection of physics and biosensing, quantum biosensors (QB) are
transforming medical diagnostics and personalized medicine by exploiting quantum …

[HTML][HTML] Model-free-communication federated learning: framework and application to precision medicine

I De Falco, A Della Cioppa, T Koutny, U Scafuri… - … Signal Processing and …, 2024 - Elsevier
The problem of executing machine learning algorithms over data while complying with data
privacy is highly relevant in many application areas, including medicine in general and …