Artificial Intelligence
View E-collection for ‘Artificial Intelligence’![Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study](https://asset.jmir.pub/assets/b96c0a3c44732021945dbb34d8aef767.png 480w,https://asset.jmir.pub/assets/b96c0a3c44732021945dbb34d8aef767.png 960w,https://asset.jmir.pub/assets/b96c0a3c44732021945dbb34d8aef767.png 1920w,https://asset.jmir.pub/assets/b96c0a3c44732021945dbb34d8aef767.png 2500w)
Kassandra Karpathakis, Emma Pencheon, Dominic Cushnan
JMIR AI 2024 (Jan 04); 3:e51168Download Citation: END BibTex RIS
![Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks](https://asset.jmir.pub/assets/8c4946aa9758453432ce1e271002a815.png 480w,https://asset.jmir.pub/assets/8c4946aa9758453432ce1e271002a815.png 960w,https://asset.jmir.pub/assets/8c4946aa9758453432ce1e271002a815.png 1920w,https://asset.jmir.pub/assets/8c4946aa9758453432ce1e271002a815.png 2500w)
Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks
Roupen Odabashian, Donald Bastin, Georden Jones, Maria Manzoor, Sina Tangestaniapour, Malke Assad, Sunita Lakhani, Maritsa Odabashian, Sharon McGee
JMIR AI 2024 (Jan 12); 3:e50442Download Citation: END BibTex RIS
![Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach](https://asset.jmir.pub/assets/f582c2a6b1931b59d39b0a12a2882bbe.png 480w,https://asset.jmir.pub/assets/f582c2a6b1931b59d39b0a12a2882bbe.png 960w,https://asset.jmir.pub/assets/f582c2a6b1931b59d39b0a12a2882bbe.png 1920w,https://asset.jmir.pub/assets/f582c2a6b1931b59d39b0a12a2882bbe.png 2500w)
Fagen Xie, Jenny Chang, Tiffany Luong, Bechien Wu, Eva Lustigova, Eva Shrader, Wansu Chen
JMIR AI 2024 (Jan 15); 3:e51240Download Citation: END BibTex RIS
![Beyond the Hype—The Actual Role and Risks of AI in Today’s Medical Practice: Comparative-Approach Study Beyond the Hype—The Actual Role and Risks of AI in Today’s Medical Practice: Comparative-Approach Study](https://asset.jmir.pub/assets/3a7864969b0201f459fc83e1b99871dd.png 480w,https://asset.jmir.pub/assets/3a7864969b0201f459fc83e1b99871dd.png 960w,https://asset.jmir.pub/assets/3a7864969b0201f459fc83e1b99871dd.png 1920w,https://asset.jmir.pub/assets/3a7864969b0201f459fc83e1b99871dd.png 2500w)
Steffan Hansen, Carl Joakim Brandt, Jens Søndergaard
JMIR AI 2024 (Jan 22); 3:e49082Download Citation: END BibTex RIS
![An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach](https://asset.jmir.pub/assets/6690bb6ae7546213b82495de925222e2.png 480w,https://asset.jmir.pub/assets/6690bb6ae7546213b82495de925222e2.png 960w,https://asset.jmir.pub/assets/6690bb6ae7546213b82495de925222e2.png 1920w,https://asset.jmir.pub/assets/6690bb6ae7546213b82495de925222e2.png 2500w)
Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang
JMIR AI 2024 (Jan 29); 3:e47240Download Citation: END BibTex RIS
![Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size](https://asset.jmir.pub/assets/2b27d530eb5aa4cdc436a4cf21ad2498.png 480w,https://asset.jmir.pub/assets/2b27d530eb5aa4cdc436a4cf21ad2498.png 960w,https://asset.jmir.pub/assets/2b27d530eb5aa4cdc436a4cf21ad2498.png 1920w,https://asset.jmir.pub/assets/2b27d530eb5aa4cdc436a4cf21ad2498.png 2500w)
Cheng Pan, Hao Luo, Gary Cheung, Huiquan Zhou, Reynold Cheng, Sarah Cullum, Chuan Wu
JMIR AI 2024 (Jan 31); 3:e44185Download Citation: END BibTex RIS
![Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study](https://asset.jmir.pub/assets/e52c26702cc04b875442c0f358f15550.png 480w,https://asset.jmir.pub/assets/e52c26702cc04b875442c0f358f15550.png 960w,https://asset.jmir.pub/assets/e52c26702cc04b875442c0f358f15550.png 1920w,https://asset.jmir.pub/assets/e52c26702cc04b875442c0f358f15550.png 2500w)
Nicole Racine, Cheryl Chow, Lojain Hamwi, Oana Bucsea, Carol Cheng, Hang Du, Lorenzo Fabrizi, Sara Jasim, Lesley Johannsson, Laura Jones, Maria Pureza Laudiano-Dray, Judith Meek, Neelum Mistry, Vibhuti Shah, Ian Stedman, Xiaogang Wang, Rebecca Pillai Riddell
JMIR AI 2024 (Feb 09); 3:e51535Download Citation: END BibTex RIS
![Reidentification of Participants in Shared Clinical Data Sets: Experimental Study Reidentification of Participants in Shared Clinical Data Sets: Experimental Study](https://asset.jmir.pub/assets/4b7cea8d66fe2709d2f97ca8d5ecd3ab.png 480w,https://asset.jmir.pub/assets/4b7cea8d66fe2709d2f97ca8d5ecd3ab.png 960w,https://asset.jmir.pub/assets/4b7cea8d66fe2709d2f97ca8d5ecd3ab.png 1920w,https://asset.jmir.pub/assets/4b7cea8d66fe2709d2f97ca8d5ecd3ab.png 2500w)
Reidentification of Participants in Shared Clinical Data Sets: Experimental Study
Daniela Wiepert, Bradley A Malin, Joseph R Duffy, Rene L Utianski, John L Stricker, David T Jones, Hugo Botha
JMIR AI 2024 (Mar 15); 3:e52054Download Citation: END BibTex RIS
![Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation](https://asset.jmir.pub/assets/e43817c0f2a1fba8af366b0b8205b839.png 480w,https://asset.jmir.pub/assets/e43817c0f2a1fba8af366b0b8205b839.png 960w,https://asset.jmir.pub/assets/e43817c0f2a1fba8af366b0b8205b839.png 1920w,https://asset.jmir.pub/assets/e43817c0f2a1fba8af366b0b8205b839.png 2500w)
Julian Späth, Zeno Sewald, Niklas Probul, Magali Berland, Mathieu Almeida, Nicolas Pons, Emmanuelle Le Chatelier, Pere Ginès, Cristina Solé, Adrià Juanola, Josch Pauling, Jan Baumbach
JMIR AI 2024 (Mar 29); 3:e47652Download Citation: END BibTex RIS
Clinical Information and Decision Making
View E-collection for ‘Clinical Information and Decision Making’![Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study](https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 480w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 960w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 1920w,https://asset.jmir.pub/assets/978b82f7bdf2e7a228d0865b948c0470.png 2500w)
Fumi Irie, Koutarou Matsumoto, Ryu Matsuo, Yasunobu Nohara, Yoshinobu Wakisaka, Tetsuro Ago, Naoki Nakashima, Takanari Kitazono, Masahiro Kamouchi
JMIR AI 2024 (Jan 11); 3:e46840Download Citation: END BibTex RIS
![Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study](https://asset.jmir.pub/assets/4f2d677e98292031b687299c2fd35635.png 480w,https://asset.jmir.pub/assets/4f2d677e98292031b687299c2fd35635.png 960w,https://asset.jmir.pub/assets/4f2d677e98292031b687299c2fd35635.png 1920w,https://asset.jmir.pub/assets/4f2d677e98292031b687299c2fd35635.png 2500w)
Wilson WB Goh, Kendrick YA Chia, Max FK Cheung, Kalya M Kee, May O Lwin, Peter J Schulz, Minhu Chen, Kaichun Wu, Simon SM Ng, Rashid Lui, Tiing Leong Ang, Khay Guan Yeoh, Han-mo Chiu, Deng-chyang Wu, Joseph JY Sung
JMIR AI 2024 (Mar 07); 3:e50525Download Citation: END BibTex RIS
![The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study](https://asset.jmir.pub/assets/1041d5b36eed7b4ff214c462930edc22.png 480w,https://asset.jmir.pub/assets/1041d5b36eed7b4ff214c462930edc22.png 960w,https://asset.jmir.pub/assets/1041d5b36eed7b4ff214c462930edc22.png 1920w,https://asset.jmir.pub/assets/1041d5b36eed7b4ff214c462930edc22.png 2500w)
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter, e/MTIC Oncology group
JMIR AI 2024 (Mar 13); 3:e52211Download Citation: END BibTex RIS
Natural Language Processing
View E-collection for ‘Natural Language Processing’![Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study](https://asset.jmir.pub/assets/6f6986e756ddb23e2d653e45ea5c9822.png 480w,https://asset.jmir.pub/assets/6f6986e756ddb23e2d653e45ea5c9822.png 960w,https://asset.jmir.pub/assets/6f6986e756ddb23e2d653e45ea5c9822.png 1920w,https://asset.jmir.pub/assets/6f6986e756ddb23e2d653e45ea5c9822.png 2500w)
Felix Brann, Nicholas William Sterling, Stephanie O Frisch, Justin D Schrager
JMIR AI 2024 (Jan 25); 3:e49784Download Citation: END BibTex RIS
Machine Learning
View E-collection for ‘Machine Learning’![Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study](https://asset.jmir.pub/assets/0847216be690c22b36f69b2afa09904b.png 480w,https://asset.jmir.pub/assets/0847216be690c22b36f69b2afa09904b.png 960w,https://asset.jmir.pub/assets/0847216be690c22b36f69b2afa09904b.png 1920w,https://asset.jmir.pub/assets/0847216be690c22b36f69b2afa09904b.png 2500w)
Danissa V Rodriguez, Ji Chen, Ratnalekha V N Viswanadham, Katharine Lawrence, Devin Mann
JMIR AI 2024 (Mar 01); 3:e47122Download Citation: END BibTex RIS
![Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study](https://asset.jmir.pub/assets/63968774a79cc60f52e9679f24a95157.png 480w,https://asset.jmir.pub/assets/63968774a79cc60f52e9679f24a95157.png 960w,https://asset.jmir.pub/assets/63968774a79cc60f52e9679f24a95157.png 1920w,https://asset.jmir.pub/assets/63968774a79cc60f52e9679f24a95157.png 2500w)
Joshua A Young, Chin-Wen Chang, Charles W Scales, Saurabh V Menon, Chantal E Holy, Caroline Adrienne Blackie
JMIR AI 2024 (Mar 12); 3:e48295Download Citation: END BibTex RIS
Discretionary Corrigendum
View E-collection for ‘Discretionary Corrigendum’Max Rollwage, Johanna Habicht, Keno Juechems, Ben Carrington, Sruthi Viswanathan, Mona Stylianou, Tobias U Hauser, Ross Harper
JMIR AI 2024 (Mar 12); 3:e57869Download Citation: END BibTex RIS
Research Letter
View E-collection for ‘Research Letter’Wearable Devices and Sensors
View E-collection for ‘Wearable Devices and Sensors’![Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study](https://asset.jmir.pub/assets/2f6bfca5cd1e66302179703b6cff98f3.png 480w,https://asset.jmir.pub/assets/2f6bfca5cd1e66302179703b6cff98f3.png 960w,https://asset.jmir.pub/assets/2f6bfca5cd1e66302179703b6cff98f3.png 1920w,https://asset.jmir.pub/assets/2f6bfca5cd1e66302179703b6cff98f3.png 2500w)
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, Sheldon Cohen, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
JMIR AI 2024 (Apr 18); 3:e47194Download Citation: END BibTex RIS