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View article: A Novel Frameshift Variant c.1023_1029del (p. <scp>Asp342ArgfsTer54</scp> ) Leading to Extended Incorrect Protein C Termini in <scp> <i>HOMER2</i> </scp> Causing Autosomal Dominant Nonsyndromic Hearing Loss
A Novel Frameshift Variant c.1023_1029del (p. <span>Asp342ArgfsTer54</span> ) Leading to Extended Incorrect Protein C Termini in <span> <i>HOMER2</i> </span> Causing Autosomal Dominant Nonsyndromic Hearing Loss Open
Background Heterozygous variant in HOMER2 is associated with autosomal dominant nonsyndromic hearing loss (ADNSHL), designated as the locus of DFNA68. Only five pathogenic variants in HOMER2 have been identified to date. Aims/Objectives Th…
View article: Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India Open
Importance While prospective studies have investigated the accuracy of artificial intelligence (AI) for detection of diabetic retinopathy (DR) and diabetic macular edema (DME), to date, little published data exist on the clinical performan…
View article: Multi-scale analysis of mechanical stress in muscle under static and dynamic loading
Multi-scale analysis of mechanical stress in muscle under static and dynamic loading Open
View article: Research on Gait Recognition Based on Deep Transfer Features
Research on Gait Recognition Based on Deep Transfer Features Open
Gait recognition is to determine the identity information of pedestrians through the difference of their walking postures, which has received more and more attention from researchers in recent years. The current existing gait recognition m…
View article: Comparative efficacy of lisocabtagene maraleucel in the PILOT study <i>versus</i> second-line chemotherapy regimens in the real world
Comparative efficacy of lisocabtagene maraleucel in the PILOT study <i>versus</i> second-line chemotherapy regimens in the real world Open
This study assessed the comparative efficacy of lisocabtagene maraleucel (liso-cel) in PILOT (NCT03483103), an open-label, phase II study, versus conventional second-line (2L) chemotherapy regimens in the real world administered to patient…
View article: Increasing psychopharmacology clinical trial success rates with digital measures and biomarkers: Future methods
Increasing psychopharmacology clinical trial success rates with digital measures and biomarkers: Future methods Open
Psychiatric trials have some of the lowest success rates across therapeutic areas, resulting in decreased investment in psychopharmacological drug development even as the need for more effective treatments grows. Digital measures and digit…
View article: Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan Open
Purpose To evaluate the impact of an artificial intelligence (AI) assistant for lung cancer screening on multinational clinical workflows. Materials and Methods An AI assistant for lung cancer screening was evaluated on two retrospective r…
View article: Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study Open
Deep learning demonstrated potential for risk stratification in DR screening. However, real-world practicalities must be resolved to fully realize the benefit.
View article: Lisocabtagene Maraleucel in Relapsed/Refractory Mantle Cell Lymphoma: Primary Analysis of the Mantle Cell Lymphoma Cohort From TRANSCEND NHL 001, a Phase I Multicenter Seamless Design Study
Lisocabtagene Maraleucel in Relapsed/Refractory Mantle Cell Lymphoma: Primary Analysis of the Mantle Cell Lymphoma Cohort From TRANSCEND NHL 001, a Phase I Multicenter Seamless Design Study Open
PURPOSE To report the primary analysis results from the mantle cell lymphoma (MCL) cohort of the phase I seamless design TRANSCEND NHL 001 (ClinicalTrials.gov identifier: NCT02631044 ) study. METHODS Patients with relapsed/refractory (R/R)…
View article: Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT study
Lisocabtagene maraleucel for second-line relapsed or refractory large B-cell lymphoma: patient-reported outcomes from the PILOT study Open
In the single-arm, open-label, multicenter, phase II PILOT study, second-line treatment with the chimeric antigen receptor (CAR) T-cell therapy lisocabtagene maraleucel (liso-cel) in patients with relapsed or refractory (R/R) large B-cell …
View article: LISOCABTAGENE MARALEUCEL (LISO‐CEL) IN R/R MCL: PRIMARY ANALYSIS RESULTS FROM THE MCL COHORT OF THE SINGLE‐ARM, MULTICENTER, SEAMLESS DESIGN TRANSCEND NHL 001 STUDY
LISOCABTAGENE MARALEUCEL (LISO‐CEL) IN R/R MCL: PRIMARY ANALYSIS RESULTS FROM THE MCL COHORT OF THE SINGLE‐ARM, MULTICENTER, SEAMLESS DESIGN TRANSCEND NHL 001 STUDY Open
Introduction: Patients (pts) with R/R MCL after ≥2 prior lines of therapy, including Bruton tyrosine kinase inhibitor (BTKi), have a poor prognosis. Liso-cel is an autologous, CD19-directed, CAR T cell product administered at equal target …
View article: A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study Open
View article: Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge Open
Through a community-driven competition, the PANDA challenge provides a curated diverse dataset and a catalog of models for prostate cancer pathology, and represents a blueprint for evaluating AI algorithms in digital pathology.Artificial i…
View article: A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment Open
View article: Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists Open
Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise remains limited in many regions. Purpose To develop a deep learning s…
View article: Discovering novel systemic biomarkers in photos of the external eye
Discovering novel systemic biomarkers in photos of the external eye Open
External eye photos were recently shown to reveal signs of diabetic retinal disease and elevated HbA1c. In this paper, we evaluate if external eye photos contain information about additional systemic medical conditions. We developed a deep…
View article: Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision Open
Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach clinical expert level performance. However, such systems tend to demonstrate sub-optimal "out-of-distribution" performance when evaluated in clini…
View article: Detection of signs of disease in external photographs of the eyes via deep learning
Detection of signs of disease in external photographs of the eyes via deep learning Open
View article: AI system for fetal ultrasound in low-resource settings
AI system for fetal ultrasound in low-resource settings Open
Despite considerable progress in maternal healthcare, maternal and perinatal deaths remain high in low-to-middle income countries. Fetal ultrasound is an important component of antenatal care, but shortage of adequately trained healthcare …
View article: Race- and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners
Race- and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners Open
Background Many dermatologic cases are first evaluated by primary care physicians or nurse practitioners. Objective This study aimed to evaluate an artificial intelligence (AI)-based tool that assists with interpreting dermatologic conditi…
View article: Race- and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners (Preprint)
Race- and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners (Preprint) Open
BACKGROUND Many dermatologic cases are first evaluated by primary care physicians or nurse practitioners. OBJECTIVE This study aimed to evaluate an artificial intelligence (AI)-based tool that assists with interpreting dermatologic cond…
View article: Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs Open
The DLS can generalize to multiple international populations with an accuracy exceeding that of experts. The clinical value of this DLS to reduce false-positive referrals, thus decreasing the burden on specialist eye care, warrants a prosp…
View article: Artificial Intelligence and Deep Learning in Ophthalmology
Artificial Intelligence and Deep Learning in Ophthalmology Open
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to …
View article: Machine Learning for Clinical Operations Improvement Via Case Triaging
Machine Learning for Clinical Operations Improvement Via Case Triaging Open
Dear Editor, In recent years, an increasing number of machine learning (ML) models have been developed for interpreting images of skin conditions1, 2 and for risk stratification.3, 4 Beyond accurate image interpretation, one potential appl…
View article: Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Open
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has been the main focus of several artificial…
View article: Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence Open
Introduction The Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment Tool (PROBAST) were both published to improve the reporting…
View article: Deep learning for detecting pulmonary tuberculosis via chest\n radiography: an international study across 10 countries
Deep learning for detecting pulmonary tuberculosis via chest\n radiography: an international study across 10 countries Open
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO\nrecommends chest radiographs (CXRs) for TB screening, the limited availability\nof CXR interpretation is a barrier. We trained a deep learning system (DLS) to\ndetect …
View article: Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries Open
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO recommends chest radiographs (CXRs) for TB screening, the limited availability of CXR interpretation is a barrier. We trained a deep learning system (DLS) to detect act…
View article: Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices Open
Artificial intelligence assistance was associated with improved diagnoses by PCPs and NPs for 1 in every 8 to 10 cases, indicating potential for improving the quality of dermatologic care.
View article: Detecting hidden signs of diabetes in external eye photographs
Detecting hidden signs of diabetes in external eye photographs Open
Diabetes-related retinal conditions can be detected by examining the posterior of the eye. By contrast, examining the anterior of the eye can reveal conditions affecting the front of the eye, such as changes to the eyelids, cornea, or crys…