Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research
A Watson, TMA Wilkinson - Therapeutic Advances in …, 2022 - journals.sagepub.com
Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and
mortality despite current treatment strategies which focus on smoking cessation, pulmonary …
mortality despite current treatment strategies which focus on smoking cessation, pulmonary …
Embedded machine learning using microcontrollers in wearable and ambulatory systems for health and care applications: A review
MS Diab, E Rodriguez-Villegas - IEEE Access, 2022 - ieeexplore.ieee.org
The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …
attention thanks to the unique potential it offers to solve complex healthcare problems for …
Radiomics for improved detection of chronic obstructive pulmonary disease in low-dose and standard-dose chest CT scans
PR Amudala Puchakayala, VL Sthanam, A Nakhmani… - Radiology, 2023 - pubs.rsna.org
Background Approximately half of adults with chronic obstructive pulmonary disease
(COPD) remain undiagnosed. Chest CT scans are frequently acquired in clinical practice …
(COPD) remain undiagnosed. Chest CT scans are frequently acquired in clinical practice …
Detection and staging of chronic obstructive pulmonary disease using a computed tomography–based weakly supervised deep learning approach
J Sun, X Liao, Y Yan, X Zhang, J Sun, W Tan, B Liu… - European …, 2022 - Springer
Objectives Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The
present study aimed to develop weakly supervised deep learning (DL) models that utilize …
present study aimed to develop weakly supervised deep learning (DL) models that utilize …
Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer
EL O'Dowd, I Tietzova, E Bartlett… - European journal of …, 2023 - academic.oup.com
Background Screening for lung cancer with low radiation dose computed tomography has a
strong evidence base, is being introduced in several European countries and is …
strong evidence base, is being introduced in several European countries and is …
Time for a change: anticipating the diagnosis and treatment of COPD
COPD is a major public health problem because of its high prevalence (about 10% of the
adult population), rising incidence (likely related to the ageing of the population), associated …
adult population), rising incidence (likely related to the ageing of the population), associated …