Ahmad P. Tafti
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View article: Exploring Novel Data-Driven Clustering Methods for Uncovering Patterns in Longitudinal Neonatal Postoperative Temperature Measurements
Exploring Novel Data-Driven Clustering Methods for Uncovering Patterns in Longitudinal Neonatal Postoperative Temperature Measurements Open
Exploring concordance between different machine learning techniques shows that temperature in neonates after CPB follows unique trajectories. Those exhibiting persistent hypothermia trends are at higher risk of adverse outcomes.
View article: Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics
Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics Open
This manuscript serves as an introduction to a comprehensive 7-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine. This introductory rev…
View article: State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis
State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis Open
Integrating responsible, explainable, and fair artificial intelligence (REF-AI) into medical image analysis has gained significant attention in recent years. This has been driven by the pressing need for ethical, trustworthy, and transpare…
View article: Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dive
Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dive Open
This review article builds upon the introductory piece in our 7-part series, delving deeper into the transformative potential of generative artificial intelligence (Gen AI) in pathology and medicine. The article explores the applications o…
View article: Performance of Cementless Hip Arthroplasty Stem Types Based on Consolidated Large Registry Data
Performance of Cementless Hip Arthroplasty Stem Types Based on Consolidated Large Registry Data Open
Based on consolidated large registry data, some cementless femoral stem types and models appear to perform better than others when compared on the basis of stem design.
View article: Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning
Nongenerative Artificial Intelligence in Medicine: Advancements and Applications in Supervised and Unsupervised Machine Learning Open
The use of artificial intelligence (AI) within pathology and health care has advanced extensively. We have accordingly witnessed an increased adoption of various AI tools that are transforming our approach to clinical decision support, per…
View article: Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine
Statistics of Generative Artificial Intelligence and Nongenerative Predictive Analytics Machine Learning in Medicine Open
The rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) in medicine has prompted medical professionals to increasingly familiarize themselves with related topics. This also demands grasping the underlying s…
View article: Predicting Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty: Insights from Fair and Explainable Ensemble Machine Learning
Predicting Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty: Insights from Fair and Explainable Ensemble Machine Learning Open
Reoperation is the most significant complication following any surgical procedure. Developing machine learning methods that predict the need for reoperation will allow for improved shared surgical decision making and patient-specific and p…
View article: Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading
Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading Open
Objectives Recently, deep learning medical image analysis in orthopedics has become highly active. However, progress has been restricted by the absence of large-scale and standardized ground-truth images. To the best of our knowledge, this…
View article: Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining
Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining Open
Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in healthcare, demanding continuous exploration and analysis to enhance patient and clinical outcomes. As the prevalence of psychosocial disabi…
View article: Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects Open
While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings. Several factors contribute to this slower uptake, including regula…
View article: Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs Open
Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings. While deep learning algorithms have demonstrated exceptional performance i…
View article: Word Embedding Neural Networks to Advance Knee Osteoarthritis Research
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research Open
Osteoarthritis (OA) is the most prevalent chronic joint disease worldwide, where knee OA takes more than 80% of commonly affected joints. Knee OA is not a curable disease yet, and it affects large columns of patients, making it costly to p…
View article: Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure Open
Knee pain is undoubtedly the most common musculoskeletal symptom that impairs quality of life, confines mobility and functionality across all ages. Knee pain is clinically evaluated by routine radiographs, where the widespread adoption of …
View article: Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis
Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis Open
Background . Patients increasingly use asynchronous communication platforms to converse with care teams. Natural language processing (NLP) to classify content and automate triage of these messages has great potential to enhance clinical ef…
View article: Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records Open
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in …
View article: Applications of Natural Language Processing in Clinical Research and Practice
Applications of Natural Language Processing in Clinical Research and Practice Open
Rapid growth in adoption of electronic health records (EHRs) has led to an unprecedented expansion in the availability of large longitudinal datasets. Large initiatives such as the Electronic Medical Records and Genomics (eMERGE) Network, …
View article: Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets Open
Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of care. We used EMR data to build artificial neural network models to better understand the impact of cold weather on outcome of first surgeri…
View article: Quantifying predictive capability of electronic health records for the most harmful breast cancer
Quantifying predictive capability of electronic health records for the most harmful breast cancer Open
Improved prediction of the "most harmful" breast cancers that cause the most substantive morbidity and mortality would enable physicians to target more intense screening and preventive measures at those women who have the highest risk; how…
View article: Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure Open
To the best of our knowledge, this work is the first to investigate a big data machine learning strategy for ADE discovery on massive datasets downloaded from PubMed Central and social media. This contribution illustrates possible capaciti…
View article: Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure (Preprint)
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure (Preprint) Open
BACKGROUND The study of adverse drug events (ADEs) is a tenured topic in medical literature. In recent years, increasing numbers of scientific articles and health-related social media posts have been generated and shared daily, albeit wit…