Updating methods for artificial intelligence-based clinical prediction models: a scoping review.

Objectives: To give an overview of methods for updating artificial intelligence (AI)-based clinical prediction models based on new data.

Study Design And Setting: We comprehensively searched Scopus and Embase up to August 2022 for articles that addressed developments, descriptions, or evaluations of prediction model updating methods. We specifically focused on articles in the medical domain involving AI-based prediction models that were updated based on new data, excluding regression-based updating methods as these have been extensively discussed elsewhere.

Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care: A Systematic Review.

Importance: The aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include transparency and insufficient reporting of model validation and effectiveness of the implementation in the clinical workflow.

Objectives: To systematically identify predictive ML algorithms implemented in primary care from peer-reviewed literature and US Food and Drug Administration (FDA) and Conformité Européene (CE) registration databases and to ascertain the public availability of evidence, including peer-reviewed literature, gray literature, and technical reports across the artificial intelligence (AI) life cycle.

Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development.

Background: Across medicine, prognostic models are used to estimate patient risk of certain future health outcomes (e.g., cardiovascular or mortality risk).

Cross-institution natural language processing for reliable clinical association studies: a methodological exploration.

Objectives: Natural language processing (NLP) of clinical notes in electronic medical records is increasingly used to extract otherwise sparsely available patient characteristics, to assess their association with relevant health outcomes. Manual data curation is resource intensive and NLP methods make these studies more feasible. However, the methodology of using NLP methods reliably in clinical research is understudied.

Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases.

Background: General practitioners (GPs) often assess patients with acute infections. It is challenging for GPs to recognize patients needing immediate hospital referral for sepsis while avoiding unnecessary referrals. This study aimed to predict adverse sepsis-related outcomes from telephone triage information of patients presenting to out-of-hours GP cooperatives.

Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients.

Background And Purpose: Head and neck cancer (HNC) patients treated with radiotherapy often suffer from radiation-induced toxicities. Normal Tissue Complication Probability (NTCP) modeling can be used to determine the probability to develop these toxicities based on patient, tumor, treatment and dose characteristics. Since the currently used NTCP models are developed using supervised methods that discard unlabeled patient data, we assessed whether the addition of unlabeled patient data by using semi-supervised modeling would gain predictive performance.

Dynamics in cardiac surgery: trends in population characteristics and the performance of the EuroSCORE II over time.

Objectives: The aim of this study was to investigate the performance of the EuroSCORE II over time and dynamics in values of predictors included in the model.

Methods: A cohort study was performed using data from the Netherlands Heart Registration. All cardiothoracic surgical procedures performed between 1 January 2013 and 31 December 2019 were included for analysis.

The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer.

Background: Normal-tissue complication probability (NTCP) models predict complication risk in patients receiving radiotherapy, considering radiation dose to healthy tissues, and are used to select patients for proton therapy, based on their expected reduction in risk after proton therapy versus photon radiotherapy (ΔNTCP). Recommended model evaluation measures include area under the receiver operating characteristic curve (AUC), overall calibration (CITL), and calibration slope (CS), whose precise relation to patient selection is still unclear. We investigated how each measure relates to patient selection outcomes.

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods.

Background: Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associations may occur, thereby potentially reducing face-validity of the prediction model. Collinearity can be dealt with by exclusion of collinear predictors, but when there is no a priori motivation (besides collinearity) to include or exclude specific predictors, such an approach is arbitrary and possibly inappropriate.

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review.

While the opportunities of ML and AI in healthcare are promising, the growth of complex data-driven prediction models requires careful quality and applicability assessment before they are applied and disseminated in daily practice. This scoping review aimed to identify actionable guidance for those closely involved in AI-based prediction model (AIPM) development, evaluation and implementation including software engineers, data scientists, and healthcare professionals and to identify potential gaps in this guidance. We performed a scoping review of the relevant literature providing guidance or quality criteria regarding the development, evaluation, and implementation of AIPMs using a comprehensive multi-stage screening strategy.

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review.

Objectives: Missing data is a common problem during the development, evaluation, and implementation of prediction models. Although machine learning (ML) methods are often said to be capable of circumventing missing data, it is unclear how these methods are used in medical research. We aim to find out if and how well prediction model studies using machine learning report on their handling of missing data.

Necessary but not sufficient? Engaging young people in the development of an avatar-based online intervention designed to provide psychosocial support to young people affected by their own or a family member's cancer diagnosis.

Objective: This study discusses the challenges and successes of engaging young people in a project aimed at developing an online counselling intervention for young people affected by cancer.

Context: For younger people with a diagnosis of cancer or who are caring for someone with cancer, the psychosocial consequences can create significant challenges for their social and educational development. Whilst young people have been shown to be reluctant to make use of traditional face-to-face counselling, research is beginning to suggest that effective therapeutic relationships can be formed with young people online.

Quantitative measurements of venous reflux by duplex scanning of the incompetent long saphenous vein before and after high ligation at the saphenofemoral junction.

Objective: To assess the effect of high ligation of the saphenofemoral junction (SFJ) on the amount of reflux in the long saphenous vein using quantitative duplex scanning.

Design: Prospective study.

Setting: Teaching hospital, The Netherlands.

[Experiences with outpatient laparoscopic cholecystectomy].

Objective: To determine the feasibility and desirability of laparoscopic cholecystectomy in day care.

Design: Prospective, pilot study.

Setting: Academic Medical Centre, Amsterdam, the Netherlands.

[Treatment of tibial shaft fractures using plate osteosynthesis].

A retrospective study of 203 fractures of the tibial shaft, treated with ASIF-plate osteosynthesis between 1975 and 1986, revealed that the rate of osteitis and pseudarthrosis in closed and first-degree open fractures compares favourably with nationwide figures. The same applies to the duration of disability. Early treatment of osteitis, delayed union and pseudarthrosis in all cases led to complete recovery.

The biotin-streptavidin system in a two-site ELISA for the detection of plasmodial sporozoite antigen in mosquitoes.

A two-site ELISA has been designed for the detection of sporozoite antigen in mosquitoes. Biotin-labelled monoclonal antibodies against sporozoites and a streptavidin-biotin-peroxidase complex were used to visualize the antigen. Evaluation of the sensitivity and specificity of the procedure was carried out and background levels of reactivity on the basis of negative mosquitoes were calculated.

Tabernaemontana L. (Apocynaceae): a review of its taxonomy, phytochemistry, ethnobotany and pharmacology.

The taxonomy, phytochemistry, ethnobotany, and pharmacology of the genus Tabernaemontana L. (Apocynaceae) is reviewed. The genus is currently being revised taxonomically; most of the segregate genera are being reunited with it and the number of species that will ultimately be recognized will probably be about 100.

The production of mature gametocytes of Plasmodium falciparum in continuous cultures of different isolates infective to mosquitoes.

In vitro gametocytogenesis of Plasmodium falciparum was observed in all 22 isolates established in this laboratory. Gametocytes were produced in variable numbers--up to 3% of red cells--for a limited period of time after which this stage was seen only very sporadically. Complete maturation of microgametocytes in vitro was obtained in all 14 of the isolates that were tested for exflagellation.

Cultivation of fertile Plasmodium falciparum gametocytes in semi-automated systems. 1. Static cultures.

A semi-automated cultivation apparatus for the in vitro culture of Plasmodium falciparum gametocytes is described. This apparatus has been designed to produce large numbers of fertile sexual stages for use in the development of a gamete vaccine or for the infection of suitable mosquitoes. These mosquitoes in turn may be used for the development of a possible sporozoite vaccine.

Chloroquine sensitivity of isolates of Plasmodium falciparum adapted to in vitro culture.

Thirteen isolates of Plasmodium falciparum obtained from cases of malaria imported into the Netherlands and established in culture were tested for their sensitivity to chloroquine. Reproducibility of the test results depended on the exposure of a standardized number of parasites in culture to the drug. The maximum activity of chloroquine was obtained when medium with the drug was added to parasite cultures twice at 24 hour intervals.

Parasitologic and serologic observations of infection with Pneumocystis in humans.

More than 500 specimens of lung tissue were examined for Pneumocystis. Of the 38 infections detected, most were in immunodeficient patients. Samples of serum from approximately 600 healthy normal subjects and 117 children with acute lymphatic leukemia were examined by an indirect fluorescent antibody test.

Specificity of the indirect haemagglutination test with Plasmodium falciparum test cells. Comparison of indirect haemagglutination and fluorescent antibody tests on African sera.

The specificity of the indirect haemagglutination (IHA) test with Plasmodium falciparum placental antigen-sensitized test cells was examined with sera from healthy blood donors and from patients with diseases other than malaria. Only 1 nonspecific antibody reaction was seen in more than 700 tests. A comparison of IHA titres and indirect fluorescent antibody (IFA) titres with IgG and IgM conjugates on 503 sera from inhabitants of Mto Wa Mbu in Tanzania showed in successive age groups an increasing number of seropositive reactors with both tests.