Page 66 - AIH-2-3

Artificial Intelligence in Health AI in medical diagnostics: A multi-disease approach

approach to security with best practices and techniques. Int J role of AI, ML, and DL in early heart disease prediction and
Adv Netw Monit Controls. 2024;9(1):100-111. treatment. In: 2024 International Conference on Electronics,
Computing, Communication and Control Technology
doi: 10.2478/ijanmc-2024-0010
(ICECCC), Bengaluru, India; 2024. p. 1-6.
30. Akhtar ZB, Rawol AT. Uncovering cybersecurity
vulnerabilities: A kali linux investigative exploration doi: 10.1109/ICECCC61767.2024.10593941
perspective. Int J Adv Netw Monit Controls. 2024;9(2):11-22. 40. He B, Kwan AC, Cho JH, et al. Blinded, randomized trial of
sonographer versus AI cardiac function assessment. Nature.
doi: 10.2478/ijanmc-2024-0012
2023;616(7957):520-524.
31. Bin Akhtar Z. Artificial intelligence (AI) within manufacturing:
An investigative exploration for opportunities, challenges, doi: 10.1038/s41586-023-05947-3
future directions. Metaverse. 2024;5(2):2731. 41. Deo RC. Artificial intelligence and ML in cardiology.
Circulation. 2024;149(16):1235-1237.
doi: 10.54517/m.v5i2.2731
doi: 10.1161/circulationaha.123.065469
32. Vayadande K, Bhosle AA, Pawar RG, Joshi DJ,
Bailke PA, Lohade O. Innovative approaches for skin disease 42. Bax M, Thorpe J, Romanov V. The future of personalized
identification in ML: A comprehensive study. Oral Oncol cardiovascular medicine demands 3D and 4D printing, stem
Rep. 2024;10:100365-100365. cells, and artificial intelligence. Front Sens. 2023;4.
doi: 10.1016/j.oor.2024.100365 doi: 10.3389/fsens.2023.1294721
33. Lai C, Fuggle NR, Matin RN, Tanaka RJ, Rajan N. Artificial 43. Alabdaljabar MS, Hasan B, Noseworthy PA, Maalouf JF,
intelligence and ML in dermatological research and Ammash NM, Hashmi SK. Machine learning in cardiology:
healthcare: British society for investigative dermatology A potential real-world solution in low-and middle-income
skin club Report-Southampton April 2024. Br J Dermatol. countries. J Multidiscip Healthc. 2023;16:285-295.
2024;192:118-124.
doi: 10.2147/jmdh.s383810
doi: 10.1093/bjd/ljae395
44. Rodríguez M, Córdova C, Benjumeda I, San Martín S.
34. Liu X, Duan C, Kim MK, Zhang L, et al. Comparative Automated cervical cancer screening using single-cell
Performance of Claude-3 Opus and ChatGPT-4 in segmentation and deep learning: Enhanced performance
Dermoscopic Image Analysis for Melanoma Diagnosis. JMIR with liquid-based cytology. Computation. 2024;12:232.
Medical Informatics [Preprint]; 2024.
doi: 10.3390/computation12120232
doi: 10.2196/59273
45. Vaickus LJ, Kerr DA, Torres JMV, Levy J. Artificial
35. Gassner M, Garcia JB, Tanadini-Lang S, et al. Saliency- intelligence applications in cytopathology: Current state of
enhanced content-based image retrieval for diagnosis the art. Surg Pathol Clin. 2024;17:521-531.
support in dermatology consultation: Reader study. JMIR doi: 10.1016/j.path.2024.04.011
Dermatol. 2023;6:e42129-e42129.
46. Wu A, Ngo M, Thomas C. Assessment of patient perceptions
doi: 10.2196/42129
of artificial intelligence use in dermatology: A cross‐
36. Komuro J, Kusumoto D, Hashimoto H, Yuasa S. Machine sectional survey. Skin Res Technol. 2024;30(3):e13656.
learning in cardiology: Clinical application and basic doi: 10.1111/srt.13656
research. J Cardiol. 2023;82(2):128-133.
47. Tan IJ, Podwojniak A, Parikh A, Cohen BA. Precision
doi: 10.1016/j.jjcc.2023.04.020
dermatology: A review of molecular biomarkers and
37. Papachristou P, Söderholm M, Pallon J, et al. Evaluation of personalized therapies. Curr Issues Mol Biol. 2024;
an artificial intelligence-based decision support for detection 46(4):2975-2990.
of cutaneous melanoma in primary care-a prospective, real- doi: 10.3390/cimb46040186
life, clinical trial. Br J Dermatol. 2024;191:125-133.
48. McMullen E, Grewal R, Storm K, et al. Diagnosing contact
doi: 10.1093/bjd/ljae021
dermatitis using machine learning: A review. Contact
38. Naser MA, Majeed AA, Alsabah M, Al-Shaikhli TR, Dermatitis. 2024;91(3):186-189.
Kaky KM. A review of ML’s role in cardiovascular disease doi: 10.1111/cod.14595
prediction: Recent advances and future challenges.
Algorithms. 2024;17(2):78. 49. Kaushik P, Chopra Y, Kajla A, Poonia M, Khan A, Yadav
D. AI-Powered Dermatology: Achieving Dermatologist-
doi: 10.3390/a17020078
Grade Skin Cancer Classification. In: 2024 IEEE International
39. Selvi DMK, Aswini J, Balakrishnan C, Suganya K, Sheena BG, Conference on Interdisciplinary Approaches in Technology
Subramanian RS. Revolutionizing cardiovascular care: The and Management for Social Innovation (IATMSI). Vol. 2.

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