Published on in Vol 19, No 3 (2017): March
Journals
- Garg G, Juneja M. A survey of denoising techniques for multi-parametric prostate MRI. Multimedia Tools and Applications 2019;78(10):12689 View
- Rider N, Miao D, Dodds M, Modell V, Modell F, Quinn J, Schwarzwald H, Orange J. Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support. Frontiers in Pediatrics 2019;7 View
- Schwitzguebel A, Jeckelmann C, Gavinio R, Levallois C, Benaïm C, Spechbach H. Differential Diagnosis Assessment in Ambulatory Care With an Automated Medical History–Taking Device: Pilot Randomized Controlled Trial. JMIR Medical Informatics 2019;7(4):e14044 View
- Jani B, Pell J, McGagh D, Liyanage H, Kelly D, de Lusignan S, Weatherburn C, Burns R, Sullivan F, Mair F. Recording COVID-19 consultations: review of symptoms, risk factors, and proposed SNOMED CT terms. BJGP Open 2020;4(4):bjgpopen20X101125 View
- Ferdousi R, Arab‐Zozani M, Tahamtan I, Rezaei‐Hachesu P, Dehghani M. Attitudes of nurses towards clinical information systems: a systematic review and meta‐analysis. International Nursing Review 2021;68(1):59 View
- Price J. Pharmacovigilance in Crisis: Drug Safety at a Crossroads. Clinical Therapeutics 2018;40(5):790 View
- Keitel K, D'Acremont V. Electronic clinical decision algorithms for the integrated primary care management of febrile children in low-resource settings: review of existing tools. Clinical Microbiology and Infection 2018;24(8):845 View
- Hosny A, Parmar C, Quackenbush J, Schwartz L, Aerts H. Artificial intelligence in radiology. Nature Reviews Cancer 2018;18(8):500 View
- Ahmad W, Ahmad A, Iqbal A, Hamayun M, Hussain A, Rehman G, Khan S, Khan U, Khan D, Huang L. Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method. Soft Computing 2019;23(21):10931 View
- Verheij R, Curcin V, Delaney B, McGilchrist M. Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse. Journal of Medical Internet Research 2018;20(5):e185 View
- Panigrahi L, Verma K, Singh B. Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution. Expert Systems with Applications 2019;115:486 View
- Tuthill J. Decision Support to Enhance Automated Laboratory Testing by Leveraging Analytical Capabilities. Clinics in Laboratory Medicine 2019;39(2):259 View
- Ronicke S, Hirsch M, Türk E, Larionov K, Tientcheu D, Wagner A. Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study. Orphanet Journal of Rare Diseases 2019;14(1) View
- Rodgers A, Trinchieri A, Ather M, Buchholz N. Vision for the future on urolithiasis: research, management, education and training—some personal views. Urolithiasis 2019;47(5):401 View
- Lake I, Colón-González F, Barker G, Morbey R, Smith G, Elliot A. Machine learning to refine decision making within a syndromic surveillance service. BMC Public Health 2019;19(1) View
- Kuiper G, Meijer O, Langereis E, Wijburg F. Failure to shorten the diagnostic delay in two ultra-orphan diseases (mucopolysaccharidosis types I and III): potential causes and implications. Orphanet Journal of Rare Diseases 2018;13(1) View
- Yanase J, Triantaphyllou E. The seven key challenges for the future of computer-aided diagnosis in medicine. International Journal of Medical Informatics 2019;129:413 View
- Kondylakis H, Axenie C, (Kiran) Bastola D, Katehakis D, Kouroubali A, Kurz D, Larburu N, Macía I, Maguire R, Maramis C, Marias K, Morrow P, Muro N, Núñez-Benjumea F, Rampun A, Rivera-Romero O, Scotney B, Signorelli G, Wang H, Tsiknakis M, Zwiggelaar R. Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study. Journal of Medical Internet Research 2020;22(12):e22034 View
- Harada Y, Katsukura S, Kawamura R, Shimizu T. Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study. International Journal of Environmental Research and Public Health 2021;18(4):2086 View
- Srinivasu P, SivaSai J, Ijaz M, Bhoi A, Kim W, Kang J. Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. Sensors 2021;21(8):2852 View
- Juneja M, Kaur Saini S, Kaul S, Acharjee R, Thakur N, Jindal P. Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach. Biomedical Signal Processing and Control 2021;69:102844 View
- Matsuoka A, Miike T, Yamazaki H, Higuchi M, Komaki M, Shinada K, Nakayama K, Sakurai R, Asahi M, Yoshitake K, Narumi S, Koba M, Sugioka T, Sakamoto Y, Pietrantonio F. Usefulness of a medical interview support application for residents: A pilot study. PLOS ONE 2022;17(9):e0274159 View
- Lin C, Lee Y, Wu F, Lin S, Hsu C, Lee C, Tsai D, Fang W. The Application of Projection Word Embeddings on Medical Records Scoring System. Healthcare 2021;9(10):1298 View
- Juneja M, Saini S, Acharjee R, Kaul S, Thakur N, Jindal P. PC‐SNet for automated detection of prostate cancer in multiparametric‐magnetic resonance imaging. International Journal of Imaging Systems and Technology 2022;32(6):1861 View
- Shaygan A, Daim T. Technology management maturity assessment model in healthcare research centers. Technovation 2023;120:102444 View
- Arun Bhavsar K, Singla J, D. Al-Otaibi Y, Song O, Bin Zikriya Y, Kashif Bashir A. Medical Diagnosis Using Machine Learning: A Statistical Review. Computers, Materials & Continua 2021;67(1):107 View
- Aldhyani T, Verma A, Al-Adhaileh M, Koundal D. Multi-Class Skin Lesion Classification Using a Lightweight Dynamic Kernel Deep-Learning-Based Convolutional Neural Network. Diagnostics 2022;12(9):2048 View
- Kanazawa A, Fujibayashi K, Watanabe Y, Kushiro S, Yanagisawa N, Fukataki Y, Kitamura S, Hayashi W, Nagao M, Nishizaki Y, Inomata T, Arikawa-Hirasawa E, Naito T. Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial. International Journal of Environmental Research and Public Health 2023;20(12):6176 View
- S. Alshuhri M, Al-Musawi S, Al-Alwany A, Uinarni H, Rasulova I, Rodrigues P, Alkhafaji A, Alshanberi A, Alawadi A, Abbas A. Artificial intelligence in cancer diagnosis: Opportunities and challenges. Pathology - Research and Practice 2024;253:154996 View
- Zou J, Arshad M. Detection of whole body bone fractures based on improved YOLOv7. Biomedical Signal Processing and Control 2024;91:105995 View
- Juneja M, Saini S, Chanana C, Jindal P. MRI-CropNet for Automated Cropping of Prostate Cancer in Magnetic Resonance Imaging. Wireless Personal Communications 2024;136(2):1183 View
- Vibert J, Bourquin C, De Santis O, Cobuccio L, D’Acremont V. Influence of the use of a tablet-based clinical decision support algorithm by general practitioners on the consultation process: the example of FeverTravelApp. BMC Digital Health 2024;2(1) View
Books/Policy Documents
- Flahault A. Handbook of Global Health. View
- Ghosh A, Parui S, Samanta D, Mukhopadhyay J, Chakravorty N. Modern Techniques in Biosensors. View
- Jox R. Clinical Neurotechnology meets Artificial Intelligence. View
- Andropova P, Cheremisin D, Meldo A. Proceedings of International Scientific Conference on Telecommunications, Computing and Control. View
- Flahault A. Handbook of Global Health. View