Deep neural network architectures for forecasting analgesic response. - Paul Nickerson; Patrick James Tighe; Benjamin Shickel; Parisa Rashidi (EMBC, 2016)

Anesthesia Instrument Recognition System. - Scott Siegel; Agyeiwaa O. Agyei; Anis Davoudi; Patrick James Tighe; Parisa Rashidi (AMIA, 2017)

Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. - Shruthi Gopalswamy; Patrick James Tighe; Parisa Rashidi (BHI, 2017)

DisTeam: A decision support tool for surgical team selection. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Artif. Intell. Medicine, 2017)

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? - Ashkan Ebadi; Patrick James Tighe; Lei Zheng; Parisa Rashidi (CoRR, 2018)

The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. - Anis Davoudi; Kumar Rohit Malhotra; Benjamin Shickel; Scott Siegel; Seth Williams; Matthew Ruppert; Emel Bihorac; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (CoRR, 2018)

Transition Icons for Time-Series Visualization and Exploratory Analysis. - Paul Nickerson; Raheleh Baharloo; Amal A. Wanigatunga; Todd M. Manini; Patrick James Tighe; Parisa Rashidi (IEEE J. Biomed. Health Informatics, 2018)

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (IEEE J. Biomed. Health Informatics, 2018)

A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. - Grazziela P. Figueredo; Peng Shi 017; Andrew J. Parkes; Keith Evans; Jonathan M. Garibaldi; Ola Negm; Patrick James Tighe; Herbert F. Sewell; John Robertson (CEC, 2019)

A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Soc. Netw. Anal. Min., 2019)

Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. - Anis Davoudi; Catherine Dion; Shawna Amini; David J. Libon; Patrick James Tighe; Catherine C. Price; Parisa Rashidi (EMBC, 2020)

Pain and Physical Activity Association in Critically Ill Patients*. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. - Florenc Demrozi; Graziano Pravadelli; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Pain and Physical Activity Association in Critically Ill Patients. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2020)

Facial Action Unit Detection on ICU Data for Pain Assessment. - Subhash Nerella; Azra Bihorac; Patrick James Tighe; Parisa Rashidi (CoRR, 2020)

Pain Action Unit Detection in Critically Ill Patients. - Subhash Nerella; Julie Cupka; Matthew Ruppert; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (COMPSAC, 2021)

Posture Recognition in the Critical Care Settings using Wearable Devices. - Anis Davoudi; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2021)

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2021)

Accessing Artificial Intelligence for Clinical Decision-Making. - Chris Giordano; Meghan Brennan; Basma Mohamed; Parisa Rashidi; François Modave; Patrick James Tighe (Frontiers Digit. Health, 2021)

Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture. - Mizuki Miyatake; Subhash Nerella; David Simpson; Natalia Pawlowicz; Sarah Stern; Patrick James Tighe; Parisa Rashidi (CoRR, 2022)

End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. - Subhash Nerella; Kia Khezeli; Andrea Davidson; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2022)

Fairness in the prediction of acute postoperative pain using machine learning models. - Anis Davoudi; Ruba Sajdeya; Ron Ison; Jennifer Hagen; Parisa Rashidi; Catherine C. Price; Patrick James Tighe (Frontiers Digit. Health, 2022)

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. - Anis Davoudi; Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2022)

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. - Benjamin Shickel; Brandon Silva; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Kia Khezeli; Ziyuan Guan; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2022)

Phenotype clustering in health care: A narrative review for clinicians. - Tyler J. Loftus; Benjamin Shickel; Jeremy A. Balch; Patrick James Tighe; Kenneth L. Abbott; Brian Fazzone; Erik M. Anderson; Jared Rozowsky; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Scott A. Berceli; William R. Hogan; et al. (Frontiers Artif. Intell., 2022)

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. - Jessica Sena; Sabyasachi Bandyopadhyay; Mohammad Tahsin Mostafiz; Andrea Davidson; Ziyuan Guan; Jesimon Barreto; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; William Robson Schwartz; Parisa Rashidi (BIBM, 2023)

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. - Subhash Nerella; Ziyuan Guan; Andrea Davidson; Yuanfang Ren; Tezcan Baslanti; Brooke Armfield; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes. - Ruba Sajdeya; Mamoun T. Mardini; Patrick James Tighe; Ronald L. Ison; Chen Bai; Sebastian Jugl; Gao Hanzhi; Kimia Zandbiglari; Farzana Islam Adiba; Almut G. Winterstein; Thomas A Pearson; Robert L. Cook 002; et al. (J. Am. Medical Informatics Assoc., 2023)

Development of a Probabilistic Boolean network (PBN) to model intraoperative blood pressure management. - Chamara Gunaratne; Ron Ison; Catherine C. Price; François Modave; Patrick James Tighe (Comput. Methods Programs Biomed., 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. - Sabyasachi Bandyopadhyay; Jiaqing Zhang; Ronald L. Ison; David J. Libon; Patrick James Tighe; Catherine C. Price; Parisa Rashidi (CoRR, 2024)

Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning. - Chen Bai; Mohammad A. Al-Ani; Shawna Amini; Patrick James Tighe; Catherine C. Price; Todd M. Manini; Mamoun T. Mardini (J. Intell. Inf. Syst., 2024)